AI Startup Giga Secures $61M to Scale Emotionally Intelligent Support Agents

Giga, the AI company redefining how people interact with customer support, today announced it has raised a $61 million Series A round led by Redpoint Ventures, with participation from Y Combinator and Nexus Venture Partners.

The funding will accelerate Giga’s growth as it continues to outperform global incumbents and emerges as the product of choice for complex enterprise support automation. Giga will grow its technical team, accelerate go-to-market motion, and scale deployments with the world’s largest enterprises.

Founded by IIT Kharagpur graduates and Forbes 30 Under 30 honorees Varun Vummadi (CEO) and Esha Manideep (CTO), Giga is redefining how companies scale high quality support. The platform enables companies to deploy emotionally intelligent agents that can reason, act, and resolve issues — all in real time.

"What excites me most about Giga is that it's not just building a best-in-class support bot—it’s that the team is building a foundational AI infrastructure layer for customer voice,” said Satish Dharmaraj, Managing Director at Redpoint Ventures. “This is one of our largest early stage investments to date because we believe deeply in both the strength of the product to reshape the world of customer support and the pace of execution from the Giga team.”

Abhishek Sharma, Managing Director, Nexus Venture Partners, added,

Giga is leading a paradigm shift in enterprise support with AI. Their category‑leading platform helps the biggest enterprises in the world to achiecompanies move from human and outsourced support to scalable, software‑driven AI—boosting efficiency, quality, and compliance. Varun, Esha, and the team are building one of the most transformational AI companies of our time, and it’s been a privilege for Nexus to be part of their journey since the early days.

Rather than bolting together prebuilt scripts or APIs, Giga has engineered a unified platform for real-time automation — purpose-built for scale, precision, and emotional fluency. Giga’s AI agents are logical, perceptive, emotionally aware, and always improving. And their breakthrough is context — giving AI the memory to truly understand every situation. All of this comes in a platform that can be deployed across even the most complex enterprises, in just weeks, not months.

Key capabilities include - Highly Configurable Intelligence, Low Latency, High Empathy – Multi-intent understanding, emotional awareness, and multilingual fluency, Built for the Enterprise - Giga was designed to scale to the largest B2C companies in the world, with enterprise-grade security, compliance, and reliability built in from day one, Enterprise-Grade Security Powerful Platform – Out-of-the-box analytics, automated QA, and low-code tools to customize every part of the agent, Context as a Superpower – Every conversation is remembered, analyzed, and used to improve the next.

Giga’s system ingests a company’s entire support knowledge base and instantly generates high-accuracy agents. These agents handle real-time reasoning across complex policies and systems — without human handoff.

Organizations globally spend billions on call centers every year and yet the customer experience is still broken. ” said Varun Vummadi, co-founder and CEO. “We built Giga to change that. For the first time ever, machines are capable of understanding the nuances of customer voices and holding conversations with them, fundamentally changing the way the world interacts with devices.

Aniket Kamthe of Nexus Venture Partners, said, “We’re thrilled to be working with Giga at this inflection point for AI-powered customer experiences. They're setting new standards for deploying AI reliably at scale across complex enterprise environments."

Designed for high-compliance industries like ecommerce, financial services, healthcare, and telecommunications, Giga’s agents use retrieval-augmented generation and contextual reasoning to deliver policy-safe, emotionally intelligent conversations, without sacrificing speed or accuracy.

Giga’s voice systems already handle millions of customer calls every month for large-scale enterprises, dramatically reducing wait times.

At DoorDash, Giga’s deployment improved resolution speed, reduced escalations, and enhanced operational efficiency across teams.

At DoorDash, we operate at a massive scale across services, platforms, and languages,” said DoorDash co-founder Andy Fang. “Giga leveraged usage data to deliver measurable improvements, including fewer escalations, faster resolution paths, and more efficient workflows across our teams. As we continue to grow across more than 40 countries and serve nearly 50 million people each month, partnerships like this are critical to delivering better outcomes for consumers on a global scale.

To learn more, please visit https://giga.ai/.

About Giga

Giga is an AI platform that automates enterprise customer support with emotionally intelligent, real-time agents. Designed for high-compliance environments, Giga’s agents combine contextual reasoning, secure orchestration, and sub-second response times to deliver human-quality conversations at global scale and ease a variety of customer support issues, from call abandonment to customer wait times. To learn more, please visit https://giga.ai/ .

Mphasis Launches NeoIP™, a Unified AI Platform for Continuous Enterprise Transformation

• Platform utilizes Ontology-Powered Knowledge Graph, Ontosphere, to deliver compounding value and continuous transformation.
• Early client deployments of the platform are demonstrating up to 60% efficiency gains, 50% reduction in incident resolution time, and measurable margin improvements.

Mphasis, (BSE: 526299; NSE: MPHASIS), an Information Technology (IT) solutions provider specializing in cloud and cognitive services, announced the launch of Mphasis NeoIP™, a breakthrough Artificial Intelligence (AI) platform, integrating multiple Mphasis.ai innovative solutions, designed for continuous enterprise transformation and differentiating competitive advantage. The platform perpetually rewires core systems, turning enterprise knowledge across legacy systems, data and operations driving intelligent engineering. At the core ofNeoIP™ is this living – breathing layer of connected enterprise understanding, that unifies data, systems, and processes to proactively optimize, modernize, and transform business and IT operations.

NeoIP™ enables organizations continuously evolve, rather than through one-time transformation programs, by making enterprise knowledge machine understandable. NeoIP™ automates complex decisions, predicts and prevents issues before they occur and drives sustained innovation. It empowers CIOs and business leaders to shift left, embedding intelligence early in the software and operations lifecycle to create self-healing, resource efficient systems that learn and improve over time. In addition, it integrates evergreen business intelligence with AI-assisted implementation, fostering continuous learning and evolution with every subsequent initiative. The platform creates a connected, data-centric environment where AI and human teams collaborate to plan, build, and manage transformation.

"Traditional enterprise transformation often fails to deliver value and requires ongoing reinvestment to keep pace with AI's rapid evolution. NeoIP™ redefines the model. NeoIP™ brings together Mphasis-built AI solutions, partner technologies, and client assets into a single platform that supports multiple data sources, large and small language models, and computing environments. It represents the future of enterprise tech, which is intelligent by design, secure by default, and scalable by nature," said Nitin Rakesh, Chief Executive Officer and Managing Director, Mphasis.

A key component of NeoIP™is Ontosphere that in collaboration with various AI Agents constructs and sustains the intelligence through dynamic knowledge graphs using enterprise domain context. Together these capabilities form a foundation for contextual insights, autonomous actions and intelligent orchestration. Ontosphere ensures AI-driven transformation is fast, accurate, and strategically aligned with long-term business goals.

NeoIP™ includes solutions grouped under four categories, namely: Modernization, Application Development, ITOps & BusinessOps. These capabilities are delivered via specialized AI Agents and frameworks:

Agent & Frameworks	Category	Function
Mphasis NeoCrux™	Modernization, App Development	Orchestrates AI-driven code generation and quality automation.
Mphasis NeoZeta™	Modernization	Enables organizations overcome challenges of modernization through comprehensive knowledge graph
Mphasis NeoSaba™	Application Development	Provides agile AI agents for quality-driven product definition and user story elaboration.
Mphasis NeoRigal™	Governance	AI Agent for planning, building and orchestrating various AI components and provides AI governance
Mphasis AIOps	ITOps	Features capabilities for integrated operations, including proactive incident prediction, root-cause analysis, and self-healing automation based on deep system observability.
Mphasis NeoOrko™	Application Development	Agent, model and knowledge operations management system
Mphasis NextOps™	Business Ops	A collection of Domain specific business operations agents that are autonomous in nature
Mphasis NeoARCHE™	Application Development	Analyzes the code stream to route workloads between CPU & GPU: Autonomous Routing for Compute Heterogeneity
Ontosphere	Modernization, App Development, ITOps, Business Ops	Enterprise intelligence encoded with contextual knowledge based on domain ontologies

NeoIP™natively connects with third-party AI agents through Model Context Protocol (MCP) and Agent2Agent (A2A) standards, expanding the agent fabric for unified, cross-enterprise orchestration.

Early client engagements have delivered measurable impact across multiple dimensions:

· Up to 60% improvement in development and modernization efficiency through AI-led code generation, testing, and optimization

· 50% reduction in mean time to detect Mean Time to Detect (MTTD) and resolve IT incidents through improved observability and automation

· 3–5 hours of predictive early warning for major outages using AI-based anomaly detection

· Sustained cost and margin improvements through a Savings-led Transformation approach that builds continuous value

· Build a cloud-ready, composable, business capability-driven platform with real-time event-driven architecture.

Mphasis has also transformed its AppStore into an AI-powered marketplace, enabling employees to easily discover, download, and use NeoIP^TM solutions. With intelligent search and curated categories, the platform streamlines access to tools that drive innovation and efficiency across the organization.

NeoIP™ further sets the stage for Mphasis’ next phase of innovation under the Mphasis Quantum initiative, which will introduce new solutions using quantum computing and AI to further enhance enterprise decision-making and transformation.

About Mphasis 
At Mphasis, engineering has been in our DNA since inception.

Mphasis is an AI-led, platform-driven company with human-in-the-loop intelligence, helping global enterprises modernize, infuse AI, and scale with agility. The Mphasis.ai unit and Mphasis AI-powered ‘Tribes’ are focused on client outcomes and embed artificial intelligence and autonomy into every layer of the enterprise technology and process stack. 

Operant AI Uncovers Stealth Exploit Targeting MCP Connected AI Assistants

1. A critical security flaw in MCP (Model Context Protocol) enables invisible data theft across all major AI and Agentic platforms
2. New attack class exploits trusted AI agents to silently exfiltrate critical PII, including SSNs, medical records, and financial data. 
3. The discovery of Shadow Escape comes amid Cybersecurity Awareness Month, underscoring the urgent need for AI-native defense mechanisms as enterprises accelerate adoption of agentic AI frameworks.

Operant AI, the world’s only Runtime AI Defense Platform, today disclosed the discovery of Shadow Escape, a powerful zero-click attack that exploits Model Context Protocol (MCP) and connected AI agents. The exploit enables data exfiltration via popular AI agents and assistants, including ChatGPT, Claude, Gemini, and other LLM-powered agents.

As enterprises rapidly adopt agentic AI through MCP servers and MCP-based integrations to connect large language models (LLMs) to internal tools, APIs, and databases, Shadow Escape demonstrates a new class of threats that operate entirely inside the firewall and within authorized identity boundaries, making them invisible to conventional cybersecurity monitoring.

The Shadow Escape attack demonstrates the absolute criticality of securing MCP and agentic identities. Operant AI's ability to detect and block these types of attacks in real-time and redact critical data before it crosses unknown and unwanted boundaries is pivotal to operationalizing MCP in any environment, especially in industries that have to follow the highest security standards, said Donna Dodson, the former Chief of Cybersecurity at NIST.

According to McKinsey’s 2025 Technology Trends Outlook, nearly 80% of enterprises are now using generative or agentic AI assistants for critical business functions—many of which depend on MCP for secure access management and workflow automation. Operant AI’s research estimates that trillions of private records may be at risk of exposure through such zero-click MCP-based data exfiltration chains.

Operant AI has formally reported this security issue to OpenAI and initiated the Common Vulnerabilities and Exposures (CVE) designation process. Critically, this is not a vulnerability specific to any individual LLM or Agent provider; it represents a fundamentally new attack path that affects any AI agent or AI application that utilizes MCP.

The Attack Chain

Unlike traditional prompt injection or data leaks, this attack doesn’t need user error, phishing, or malicious browser extensions. Instead, it leverages the trust already granted to AI agents and AI assistants through legitimate MCP connections.

The attack unfolds in three stages:

1. Infiltration: Malicious instructions are embedded invisibly in documents uploaded to AI agents—documents that appear completely legitimate and pass standard security scans. 
2. Discovery: AI agents proactively discover and surface sensitive data across connected databases without explicit user requests, leveraging MCP's powerful cross-system access capabilities. 
3. Exfiltration: Hidden directives instruct the AI agent to transmit entire datasets to external endpoints, disguised as routine performance tracking or analytics uploads

The attack first enables the AI agent to access and display critical PII data to any human interacting with it, violating basic data governance standards, including HIPAA and PCI compliance. It then uses an invisible zero-click instruction to extract that PII, including Social Security numbers, medical record numbers, and other personally identifiable information (PII) to the dark web, all without IT or standard security measures blocking or detecting the breach. Using the Shadow Escape attack path, malicious entities are able to gain everything needed to perpetrate identity theft, Medicare fraud, financial fraud, and more, all without users or IT organizations realizing the exfiltration is happening.

Shadow Escape Is Not Limited to One AI Provider or Platform

Shadow Escape affects any organization using MCP-enabled AI agents or MCP-connected AI assistants, including ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Custom AI agents built on various LLM backends, Open-source alternatives like Llama-based assistants, and Industry-specific AI copilots across healthcare, finance, and customer service. The common thread isn't the specific AI Agent—it's the Model Context Protocol that grants these agents unprecedented access to organizational systems.

Beyond Traditional Security

"While MCP has become a foundational protocol enabling powerful AI integrations, our research reveals that standard MCP configurations create unprecedented attack surfaces that operate beyond the reach of traditional security controls," said Vrajesh Bhavsar, CEO and co-founder of Operant AI. "Shadow Escape demonstrates how AI agents can be weaponized through 0-click attacks that are invisible to both users and conventional security methods. The attack happens entirely within authenticated sessions, using legitimate credentials, making the blast radius potentially catastrophic given the scale and speed at which agents can operate."

Shadow Escape can impact many highly sensitive, privacy-regulated, and commonly used AI/Human interactions, including medical assistants using AI to access patient records, insurance databases, or treatment protocols or banking representatives using AI copilots connected to transaction systems, credit databases, or fraud detection monitoring systems.

Operant AI's Security Research team recommends organizations take immediate action to assess and secure their MCP deployments by conducting comprehensive audits of all AI agents and AI assistants with MCP access to organizational systems, databases, and APIs; implementing runtime AI defense guardrails capable of detecting and blocking zero-click data exfiltration attempts; establishing MCP trust zones with explicit allow-listing of authorized servers and real-time blocking of untrusted connections; deploying sensitive data flow monitoring with in-line auto-redaction capabilities for PII, PHI, and financial information; and reviewing and governing MCP tools access following least-privilege principles.

For more information about Shadow Escape and Operant AI's MCP and AI security solutions, visit: www.operant.ai/art-kubed/shadow-escape

About Operant AI

Operant AI, the world’s only Runtime AI Defense Platform, delivers comprehensive, real-time protection for AI applications, AI agents, and MCP. Operant AI’s AI Gatekeeper and MCP Gateway are specifically designed for the unique challenges of the modern AI-native world.

With its advanced cloud-native discovery, detection, and defense capabilities, Operant AI is able to actively detect and block the most critical modern attacks including prompt injection, data exfiltration, and MCP tool poisoning, while keeping AI applications running in private mode with in-line auto-redaction of sensitive data and contextual IAM for AI Agents. Operant AI empowers security teams to confidently deploy AI applications and agents at scale without sacrificing safety or compliance.

Operant AI is the only representative vendor listed by Gartner for all four core AI-security categories: AI TRiSM (Trust, Risk, and Security Management), API Protection, MCP Gateways, and AI Agents. Founded in 2021 by Vrajesh Bhavsar, Dr. Priyanka Tembey, and Ashley Roof—industry experts from Apple, VMware, and Google respectively, Operant AI is a San Francisco-based Series A company funded by Silicon Valley venture capital firm Felicis and Washington DC venture capital firm SineWave.

India’s Clodura.AI Debuts GenAI GTM Platform to Streamline Sales Tech for Global Enterprises

Clodura.AI, an Indian GenAI SaaS company, has launched what it calls the country’s first GenAI-powered Go-to-Market (GTM) platform. Built in India and designed for global markets, the platform brings together enrichment, verification, buyer intelligence, intent signals, AI-led outreach, and calling into a single interface, aimed at reducing complexity and costs for sales teams.

Revenue and GTM teams worldwide are plagued by a universal pain: excessive, fragmented stacks of sales technology. Sales reps juggle multiple data sources, verifiers, engagement tools, and dialers, wasting time, inflating budgets, and lowering productivity. For years, the playbook has been predictable. Teams buy a single-database vendor like ZoomInfo or Apollo.io, then quickly realize one source is not enough. They add a verifier, add an outreach platform like Outreach, a call dialer and a Call Analysis tools such as Gong. Suddenly, the tech stack becomes six vendors deep, budgets spiral, and SDRs keep chasing unverified leads.

Sales professionals often rely on multiple vendors for databases, verification, engagement, and dialers. This fragmented approach increases costs, slows outreach, and adds layers of inefficiency. Clodura.AI’s unified platform seeks to address this challenge by offering an integrated system that connects with 50+ email and 20+ phone providers in real time, ensuring verified and accurate contacts.

AI agents built into the platform automate routine tasks such as drafting emails, sequencing campaigns, and follow-ups, freeing up sales representatives to focus on conversations that move deals forward.

Large enterprises and multinationals like Wipro, Reliance, PhonePe, ITC, Bosch, EY, Naukri, and Times Group have consolidated their GTM stacks with Clodura.AI, reporting stronger contact accuracy, improved call connect rates, speedier campaigns, and lower GTM costs.

“Fragmented GTM stacks slow growth, increase costs, and frustrate teams,” said Kapil Khangaonkar, Founder & CEO of Clodura.AI. “We solve this by uniting data, verification, intelligence, engagement, and closure in one Indian-built platform engineered for global scale. Clodura empowers teams to work smarter, faster, and with predictable outcomes.”

Abhay Nawathey, CTO of Clodura.AI, added: “Data ages, verification cannot be static, and reps should not waste hours on busywork. Our AI platform seamlessly integrates multiple providers and automates follow-up sequences to create productive conversations.”

“Clodura.AI exemplifies India’s AI leadership by solving a universal GTM pain point with innovation that scales globally”, said Somshubhro Pal Choudhury, Co-Founder & Partner at Bharat Innovation Fund.

India’s SaaS ecosystem has been steadily moving beyond its outsourcing legacy to building global products. Clodura.AI’s platform highlights this shift, positioning Indian-built technology as a credible alternative in the global GTM software space.

HCLSoftware Launches AI-First MarTech Platform ‘Unica+’ to Power India’s Intelligence Economy

HCLSoftware, a global leader in enterprise software, today announced the launch of HCL Unica+ in India, an AI-first MarTech platform designed for the Intelligence Economy. Unveiled at the ET MarTech+ Summit & Awards 2025, this platform marks a major step toward helping Indian businesses deliver hyper-personalized, data-driven marketing at scale.

In a market with over 800 million internet users, where attention is a scarce commodity and trust is the new currency, HCL Unica+ is the game-changer. It’s built to address the unique challenges of India’s diverse, multi-lingual landscape, enabling brands to connect with a digital-native population that expects relevance at every touchpoint.

“We’re moving beyond the Attention Economy into the Intelligence Economy,” said Rajesh Iyer, Executive Vice President & Portfolio General Manager, Business & Industry Solutions, HCLSoftware. “HCL Unica+ is the force multiplier for this shift. It’s not just about reaching customers; it’s about leveraging context to get it right every time, at every touchpoint. We're giving Indian marketers the power to leverage deep customer insight to deliver meaningful moments.”

The platform is already powering one of India’s top financial giants, managing 500 million customer accounts across 1.4 billion potential touchpoints in 28 languages. This proves the solution can handle the most demanding, large-scale challenges.

As India’s MarTech industry is set to soar to nearly $94 billion by 2030, HCL Unica+ is uniquely positioned to help enterprises capitalize on the future of marketing — one where precision, personalization, and performance are powered by AI.

“In today’s market, it’s not just about volume, it’s about precision,” said Rajiv Shesh, Chief Revenue Officer, HCLSoftware. “HCL Unica+ redefines customer experience by helping marketers understand evolving customer needs and deliver experiences that build real trust.”

Sidhant Khanna, SVP, IndusInd Bank, said, “In today’s always-on world, reach isn’t enough, it’s about relevance. With AI-powered insights, we can finally anticipate customer needs, cut through the noise and deliver the kind of hyper-personalized experiences that build real trust and lasting growth.”

“HCL Unica+ isn’t just a re-skin of legacy MarTech. It’s an AI-first, data-driven, integrated marketing automation platform purpose-built for the Intelligence Economy,” said Harish Padmanabhan, Director – Global Partnerships, Xerago. “By embedding Agentic AI directly into the workflow, HCL Unica+ reimagines the MarTech stack around real-time decisioning and precision targeting for today’s enterprise. Xerago is proud to partner with HCLSoftware in delivering this groundbreaking platform, driving rapid ROI, future-ready agility, and responsible, AI-driven growth for leading brands.”

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG and Public Services. Consolidated revenues as of 12 months ending June 2025 totalled $14.0 billion. To learn how we can supercharge progress for you, visit hcltech.com.

About HCLSoftware

HCLSoftware is a global leader in software innovation and the software division of HCLTech. We develop, market, sell, and support transformative solutions across various industries, including business and industry, intelligent operations, total experience, data and analytics, and cybersecurity. Our commitment to customer success and our core values of integrity, inclusion, value creation, people-centricity, and social responsibility drive us to deliver best-in-class software products that empower organizations to achieve their goals. With a rich heritage of pioneering spirit, HCLSoftware serves more than 20,000 organizations, including a majority of the Fortune 100 and almost half of the Fortune 500. Learn more about how we can help you achieve your goals at www.hcl-software.com.

TraceX Launches AI Tool to Streamline EU Deforestation Regulation Compliance for AgriFood Exporters

TraceX Technologies, an AgriFood and ClimateTech startup, has launched an Agentic AI Tool to automate and simplify end-to-end compliance with EU’s Deforestation Regulation (EUDR) that comes into effect from December 2025.

EU Deforestation Regulation (EUDR) mandates that any product exported to the EU should be legally sourced and deforestation-free. Non EU Exporters and EU Importers of commodities such as coffee, cocoa, palm oil, soy, wood and wood based products, rubber and cattle products, have to submit traceability proofs, verified plot-level geolocation data, Due Diligence Statement (DDS), and digital records for audits. Failing to do so can lead to shipment rejections, financial penalties of up to 4% of annual turnover in the EU and reputational damage.

A report by Global Trade Research Initiative (GTRI) indicates that Indian exports worth USD 1.3 billion are likely to be impacted due to the new regulations. Among the most affected are agriculture products such as coffee, oil cake, and forest-derived products that include paper, wood furniture, leather hides, etc. Many exporters, particularly small and medium sized companies, are struggling with high compliance costs, challenges in providing traceability proofs, and supply chain complexities.

The existing process for the submission of the Due Diligence Statement (DDS) is done through manual procedures that require field agents, spreadsheet entries and time-intensive workflows that are prone to errors. TraceX’s agentic AI tool automates these processes through interventions such as auto-parsing of supplier emails and documents for KYC, AI-validated geolocation, risk assessment via global earth observation data sets flagging high-risk suppliers or non-compliant plots before shipment, integration with the existing legacy applications, auto-generated Due Diligence Statements (DDS) that match EU TRACES formats, and Real time EU regulatory and technical updates. It cuts down DDS preparation time by up to 80%.

Commenting on the new tool, Srivatsa Sreenivasarao, Founder and CEO, TraceX, said, “While some of this functionality existed in our legacy platform, we have further added more capabilities to it by integrating advanced AI technologies to make the experience more seamless and efficient for non-EU exporters and EU Importers. The EU Deforestation Regulation presents significant economic implications for Indian exporters due to complex compliance requirements that currently need manual intervention. Managing this across fragmented, smallholder-heavy supply chains often results in data silos, manual bottlenecks, inconsistent assessments, and missed regulatory updates. Our Agentic AI Tool automates all the processes, cuts down on turnaround time, improves accuracy and reduces compliance costs”

For more information about the tool, visit https://tracextech.com/eudr-compliance-platform/

About TraceX

TraceX Technologies is a global AgriFood and ClimateTech providing comprehensive solutions to address critical challenges in supply chain traceability, sustainability, carbon management, and regulatory compliance( EUDR, CSRD,CS3D) Their innovative platform combines AI and blockchain technology with satellite monitoring and advanced reporting tools, enabling businesses to improve operational efficiency, build trust with stakeholders, and meet global sustainability standards.

Website: https://tracextech.com/

Metaforms Lands $9 Mn to Supercharge AI Agents for Global Market Research Giants

• Plans to triple Indian workforce with new funding and invest in AI research.

The market research boom is creating an unexpected casualty: the agencies themselves. In an industry where clients expect faster turnarounds, competitive pricing, and diverse capabilities, agencies are turning down work – not for lack of interest, but because outdated operational systems keep them from meeting client expectations.

Metaforms, a startup born from this bottleneck, is helping research teams scale without burning out. Today, the company announces a $9 million Series A to expand its AI infrastructure platform and accelerate adoption across the $130 billion global market research industry.

The round was led by Peak XV Partners (formerly Sequoia India), with participation from Nexus Venture Partners and Together Fund.

The funding will primarily fuel Metaforms' aggressive hiring plans in India, with the company set to triple its Bengaluru-based engineering and AI research teams, expand into new workflows like report generation and voice-based research, and deepen integrations with tools like Decipher, SPSS, and Confirmit.

"We're thrilled to partner with Akshat and Arjun as they reimagine what a market research agency could look like in an AI-first world. Metaforms is scaling rapidly by enabling some of the largest research agencies globally to automate workflows such as survey programming and data processing through their suite of AI agents," said Shailendra Singh, MD, Peak XV Partners.

Founded in 2022 by Akshat Tyagi and Arjun S, Metaforms addresses a critical bottleneck in the global market research industry. When multinational companies like Unilever, Procter & Gamble, or Tata need to understand consumer preferences across markets, research agencies often struggle with manual, time-intensive processes that limit their capacity to serve clients.

The company's AI agents automate survey programming, data processing, and vendor coordination, enabling agencies to handle exponentially more projects while maintaining quality.

Since launching commercially just six months ago, Metaforms has signed four of the world's top twenty research agencies, including Strat7, and serves Fortune 500 companies.

The platform now processes over 1,000 surveys per month and has achieved a 100% customer expansion rate – every client that started with one AI agent has adopted additional capabilities.

This traction has caught investor attention across the ecosystem. "They're solving a major pain point for the entire industry. That focus and ability to deeply understand customer needs and address that using generative AI is the hallmark of the Metaforms team. We are thrilled to back Akshat and Arjun in their journey of building a remarkable company!" said Jishnu Bhattacharjee, Managing Director, Nexus Venture Partners.

"Metaforms is a breakout example of the India-to-global play in AI," said Manav Garg, Co-founder and Managing Partner at Together Fund. "They're not just automating tasks — they're rebuilding research infrastructure for the modern era."

The impact extends beyond operational efficiency. By compressing turnaround times and reducing costs, Metaforms enables agencies to serve clients they would otherwise turn away, from early-stage startups testing their first ideas to global brands launching multi-country trackers.

Looking ahead, Metaforms plans to continue expanding the breadth of its agent capabilities. Voice research, automated report generation, and expanded language support are all on the roadmap, with the long-term vision to process over 100,000 surveys per year.

"When research agencies grow, better business decisions get made," said Akshat Tyagi, co-founder and CEO of Metaforms. "We're not here to replace the humans in the loop. We're here to give them leverage."

About Metaforms

Metaforms is the AI platform that helps market research agencies operate smarter and win more business. The company's AI agents augment research teams' work output across survey programming, data processing, bidding management, and voice research, enabling them to handle exponentially more projects while maintaining quality. Trusted by world's leading agencies including Dynata, Savanta, Strat7, and Borderless Access.

Olto Raises $5.1 Mn Co-Led By Nexus Venture Partners and The General Partnership

Olto, the AI demo engineer transforming how B2B teams demo and sell software, has raised $5.1 million in pre-seed funding. The round was co-led by Nexus Venture Partners and The General Partnership, with participation from Afore Capital, Recall Capital, Ligature, FirstHand and notable founders and executives.

Olto transforms every buyer interaction, whether a live demo call, an outbound touch, or an inbound visit, into a high-converting product experience by generating context-aware demo environments and interactive product tours for every opportunity in the CRM. Designed for the entire GTM motion, Olto operates as an always-on expert AI demo engineer.

The company was founded by seasoned Amazon executives Kintan Brahmbhatt and Jean-Baptiste Chaput, with veteran Amazon engineer Pranav Midha joining as founding engineer. Brahmbhatt co-founded Amazon Music, where he led its product team, and Amazon’s podcasting business, which he ran as general manager. He also co-invented Prime Video's X-Ray feature – the contextual information layer that transformed how millions of consumers discover and experience content.

“At Amazon, we pioneered just-in-time personalization to change the way consumers engage with media,” said Kintan Brahmbhatt, CEO and co-founder of Olto. “With Olto, we’re bringing that same magic to B2B software. Every seller gets an expert demo engineer that’s always on, always current, and always tailored to the buyer.”

B2B buyers increasingly expect consumer-grade, personalized experiences, while revenue leaders face mounting pressure to accelerate sales cycles and do more with smaller teams. Traditional product demos remain heavily manual, inconsistent, and dependent on scarce solutions engineering resources, creating bottlenecks that slow deal velocity. 

To solve this challenge, Olto’s AI-native platform integrates directly with a company’s CRM and live product, overlaying intelligent, prospect-specific data across real interfaces. Behind the scenes, Olto combines a custom entity resolution engine and a flexible orchestration layer that leverages multiple LLMs to personalize demos on the fly. It adapts seamlessly to ongoing changes to the underlying product, eliminating the delays and maintenance burden of legacy demo tools.

"AI is upending traditional approaches to B2B sales," said Abhishek Sharma, managing director at Nexus Venture Partners. "Sales teams spend countless hours on manual demo preparation, only to deliver generic experiences that don't resonate with prospects. Olto's AI-first approach eliminates this time drain and creates genuinely targeted experiences that lead to faster sales cycles. Kintan and JB’s unique background in building delightful ML-powered products at Amazon gives them a compelling advantage in solving this problem."

"What excited us about Olto is how naturally Kintan and JB are applying their consumer product instincts to one of the biggest bottlenecks in enterprise software sales–demo delivery," said Phin Barnes, co-founder at The General Partnership. "They've built an AI-native system that actually enhances how buyers experience a product beyond simply automating workflows.”

About Olto

Olto’s AI demo engineer agent enables sales, solutions, and marketing teams to deliver personalized demos that communicate the product’s highest and most relevant value to each buyer. Founded by veteran Amazon executives, Olto helps revenue teams accelerate sales cycles, reduce demo preparation time by up to 80%, and deliver consistent, tailor-made experiences that drive higher conversion rates. Headquartered in San Francisco, Olto is trusted by leading sales organizations at companies like Demandbase, Eightfold.ai, Qventus, and Jiminny. Learn more at olto.com.

Infibeam’s Phronetic.AI and Nawgati Join Forces to Build Real-Time AI for India’s Energy, Fuelling & Fleet Future

Nueromind Technologies Private Limited (“Phronetic”), a cutting-edge deep-tech AI company owned by Infibeam Avenues Ltd, has entered into a Memorandum of Understanding (MoU) with Nawgati Tech Private Limited, a pioneering deep-tech company transforming India’s fuel and mobility infrastructure. This deal aims to co-develop next-generation AI-powered solutions tailored for the fueling, fleet, and energy sectors to automate reasoning capabilities for accurate decision making on real-time basis by using CCTV-video inputs.

Phronetic’s ABM platform is a multimodal technology that combines Video-Language Models (Video-LLMs) with a reasoning model. The Video-LLMs provide insight for understanding the environments, while the reasoning models provides intelligence in contextualizing this information. Ultimately, Phronetic’s Agentic AI, known as the field agent, enables real-time actions based on these insights.

Companies often face operational challenges related to improving efficiency and ensuring SOP (standard operating procedures) compliance. Although current technologies can identify or detect these challenges, they fall short in providing decision-making and action-oriented suggestions due to their lack of reasoning capabilities with video inputs.

“While reasoning capabilities using text are available in the market, there is a significant gap in reasoning models that effectively utilize video inputs, especially in industries such as manufacturing and retail, where physical production and on-the-floor activities take place. By leveraging reasoning capabilities to analyze video feeds, organizations can dramatically enhance their efficiency and SOP compliance, which will ultimately contribute to their business growth,” explained Mr. Rajesh Kumar, CEO of Phronetic AI, emphasizing that Phronetic's technology addresses the pressing need for accurate decision-making by automating reasoning tasks and aiding to take an action.

Expressing his enthusiasm, Mr Rajesh Kumar further said “Partnering with Nawgati allows us to apply our intelligence at scale and create real-world impact in high-throughput, high-stakes energy operations.”

Mr. Vaibhav Kaushik, Co-Founder & CEO of Nawgati, said: “Nawgati is leading the digital transformation of India’s fuelling infrastructure through deep-tech solutions powered by AI and advanced deep learning algorithms. Our flagship platform, Aaveg, is deployed across thousands of fuel stations to monitor retail operations in real time, reduce pilferage, and ensure SOP compliance. We are delighted to work with Phronetic and leverage their advanced AI capabilities to enhance the intelligence and efficiency of our solutions. Together, we’re unlocking a new era of autonomy and efficiency across fuel and fleet networks.”

Key Highlights of the Collaboration:

• Agentic AI Deployment: Phronetic will integrate its Field and Desk AI Agents into Nawgati’s tech stack to enhance operational intelligence, automate customer interactions, and support intelligent decision-making across various environments.
• Go-to-Market (GTM) Partnership: Phronetic and Nawgati will jointly go to market with AI-powered offerings for the fuel, fleet, and energy sectors, leveraging Nawgati’s vast on-ground deployments, deep-tech Aaveg platform and Phronetic’s agentic AI capabilities.

Nawgati’s flagship product, Aaveg, is a vertical SaaS platform used by energy players to optimize forecourt operations, reduce inefficiencies, manage congestion, monitor SOPsand enhance compliance. Nawgati’s product is deployed across thousands of fuel outlets across the country. In addition, Nawgati powers India’s largest fueling app, serving over 2 million users, offering a seamless end-to-end fueling experience. Nawgati has also played a pivotal role in digitising CNG fleet programs across India, streamlining logistics and enhancing transparency for commercial vehicle networks. Fuel outlets of Indraprastha Gas, Mahanagar Gas, Torent Gas, and petrol pumps operated by dealers of Indian Oil, Bharat Petroleum, Hindustan Petroleum and JioBP use Nawgati’s products.

Founded at BITS Pilani, Nawgati is at the forefront of fuel-tech innovation, developing intelligent digital infrastructure solutions for India’s energy sector. By unifying fuel stations, fleet operators, and consumers on a single platform, Nawgati enhances network utilization, streamlines refueling operations, and offers real-time visibility into fuel availability and fleet movement. The company operates at the intersection of deep-tech, mobility, and energy, and is backed by marquee investors including GAIL (India) Ltd, Ajay Upadhyaya, Deepak Bhagnani Family Office, MeitY Startup Hub, Department of Science & Technology (DST), Jash Bhurjee, BITS Spark, and Aamara Capital.

Phronetic is an AI business vertical under Nueromind Technologies Private Limited, a pioneering deep-tech AI company and a subsidiary of Infibeam Avenues Ltd.

About Nawgati Tech Private Ltd:

Nawgati is an AI and IoT-driven Technology Company built to modernize fuel station operations, minimize pilferage, and elevate the customer experience. At its core is Aaveg, Nawgati’s flagship solution that provides real-time nozzle-level monitoring, automated stock reconciliation, and intelligent queue and compliance management through camera-based AI systems. The platform enables fuel station operators to digitally manage sales, inventory, and customer footfall via a centralized dashboard, offering actionable insights for operational efficiency. It also supports predictive maintenance of critical forecourt hardware, reducing downtime and maintenance costs. On the consumer side, Nawgati operates India’s largest fuelling app to offer features such as real-time station information, digital billing, and instant feedback collection, bridging the gap between station infrastructure and end-user convenience. Additionally, Nawgati offers fleet management integrations that provide visibility into fueling behavior, optimize route planning, and enable seamless control over large-scale commercial vehicle operations.

About Infibeam Avenues Limited:

Infibeam Avenues Ltd. is one of the leading global financial technology (fintech) company offering comprehensive digital payment solutions and enterprise software platforms to businesses and governments across industry verticals. The company's payment infrastructure solution includes acquiring and issuing solutions and offering infrastructure for banks. The core Payment Gateway (PG) business provides over 200 plus payment options to the merchants allowing them to accept payments through website and mobile devices in 27 international currencies. Infibeam Avenues' enterprise software platform hosts India's largest online marketplace for government procurement. The company processed transaction worth INR 7.0 trillion (US$ 86 billion) in FY24. Company currently has over 10 million plus clients across digital payments and enterprise software platforms. The company's vast clientele includes merchants, enterprises, corporations, governments, and financial institutions in both domestic (India) as well as international markets. Infibeam Avenues' international operations are based in the United Arab Emirates, Kingdom of Saudi Arabia, Australia, and the United States of America. We also have business presence in Oman working with three of the largest banks in the country.

Lightspeed Leads $2.7 Mn Seed for LogicFlo AI to Scale Enterprise AI in Biotech & Pharma

LogicFlo AI, a Boston-based AI platform designed specifically for the life sciences sector, has raised $2.7 million in a seed round led by Lightspeed, with participation from leading healthcare and enterprise AI investors. The funding will support LogicFlo AI’s global expansion across pharmaceutical, biotech, and medtech organizations, and enable deeper deployment with global clients, including a Fortune 500 company already under contract.

Founded by Udith Vaidyanathan and Arun Ramakrishnan, the company is redefining how regulated scientific work is done by replacing fragmented tools and repetitive processes with intelligent AI agents that work under human guidance. Across regulatory affairs, medical writing, quality assurance, and medical information teams, LogicFlo AI enables experts to complete high-compliance workflows in a fraction of the time, without sacrificing accuracy or oversight.

The platform is already in production across several global life sciences companies, with early deployments showing transformative results: medical writing timelines reduced from weeks to minutes, and medical information response times cut from nearly two weeks to just two days. With growing demand and expanding agent libraries, LogicFlo AI is emerging as a foundational layer for regulated enterprises, redefining how complex scientific knowledge work is executed at scale.

Udith Vaidyanathan, LogicFlo AI's co-founder and CEO, talking about the platform said, “We are at a once-in-a-generation inflection point. For the first time, AI agents are capable enough to drive meaningful productivity gains in regulated scientific work, not just possible, but inevitable. While the rest of the world is focused on automation, instead of people, we are building automation for people. LogicFlo AI puts experts firmly at the center. The goal is to empower the brightest people in life sciences do what only they can do - drive medical science forward and help elevate the standard of care.”

“Traditional automation has failed life sciences because it's too rigid, too brittle, and too out of touch with how people actually work,” explained Arun Ramakrishnan, LogicFlo AI’s co-founder and CTO. “LogicFlo AI agents are different. They're intelligent, composable, production-ready, and they understand the nuance of scientific work."

Rohil Bagga, VP Investments, Lightspeed, said, "We're thrilled to back LogicFlo AI as they revolutionize how life sciences and biotech organizations operate. Their AI agent platform empowers medical affairs and commercial teams to build agentic workflows across diverse use cases, dramatically boosting productivity. Founders Udith and Arun combine deep domain expertise with exceptional technical acumen—we're excited to support them as they drive transformation in one of the world’s most critical industries."

With the new funding, LogicFlo AI will accelerate product development, expand integrations with life sciences systems like Veeva and IQVIA, and grow its go-to-market and technical teams to meet rising industry demand. The company's broader vision is to redefine how scientific work happens, empowering every expert with tools that match the speed and complexity of modern science.

About LogicFlo AI

LogicFlo AI is an AI agent platform purpose-built for life sciences organizations — designed to help expert teams in medical, regulatory, quality, and commercial functions execute high-stakes work faster, more accurately, and in full compliance.

Born at Harvard. Built by life sciences insiders. Backed by bleeding-edge AI. LogicFlo AI is not just building tools — it’s building a new operating model for the future of scientific work.

LogicFlo AI's agents support functions across the entire life sciences value chain: medical writing with literature-based content creation and full referencing; Medical communications and information response generation with SR documents, material for ad boards, congresses, journal articles, commercial content creation with compliant promotional materials and MLR workflow management; regulatory authoring for CTAs, INDs, and safety narratives; quality and compliance documentation including SOPs, deviation reports, and CAPAs and so on.

For more information please visit https://logicflo.ai/ or follow via LinkedIn.

Meritto Launches Mio AI, the Autonomous Agent Suite Purpose-Built for Education

At a time when institutions face rising enrollment volatility, higher student expectations, and increasing operational complexity, Meritto, a product of NoPaperForms Solutions Limited, today announced the launch of Mio AI, its industry-ready Agentic AI built ground-up for education. Unveiled at the Delhi NCR Chapter of #EvolveByMeritto, attended by top education leaders, technologists, and changemakers, Mio AI represents a new class of intelligence that doesn’t just assist teams, but operates with purpose, alignment, and autonomy across the student lifecycle.

Built natively into Meritto’s Vertical SaaS platform, Mio AI brings a fleet of domain-trained, configurable AI agents that work across enrollment portals, marketing sites, communication channels, and internal workflows. These agents are not prompted, they’re proactive. They take initiative, adapt in real-time, and optimize for institutional outcomes like conversion, retention, and efficiency. With Mio, AI shifts from being a tool institutions use, to a teammate they rely on.

What makes Mio AI distinct is its architectural intent. While traditional automation tools operate at the surface responding to inputs, handling tickets, Mio AI embeds itself within the institution’s actual rhythm. It draws knowledge from the institution’s knowledge hub. It syncs in real time. It learns continuously. And through a no-code command interface, institutions define exactly how their agents should act: what to say, when to escalate, what tone to carry, ensuring every interaction is accurate, contextual, and brand-aligned.

In a sector like education where context, transparency, and sensitivity matter deeply, Meritto has taken a human-in-the-loop approach to AI deployment. Every Mio agent action is auditable, every conversation traceable, and every decision accountable.

“This is not about launching a feature. This is about launching a future,” said Naveen Goyal, Founder & CEO of Meritto. “Mio AI is our statement of intent: to build the intelligent infrastructure education needs next, not just to catch up with technology, but to lead with it. Education deserves more than generative gloss. It needs purpose-built intelligence that reflects its depth, scale, and human stakes.”

Built natively on Meritto’s vertical SaaS stack, Mio AI reflects the company’s broader vision for SaaS 2.0, where software is no longer just about digitizing workflows, but about infusing them with decision-making, adaptability, and autonomous execution. The platform is designed to seamlessly integrate with existing systems and teams, offering institutions an AI layer that is trained, trusted, and tuned to their brand and business logic from day one.

Over the coming time, Meritto will continue to expand the Mio suite, introducing agents that support lead nurturing, financial workflows, academic advising, and internal team operations, creating a truly distributed digital workforce for education.

“Mio doesn’t just save time. It makes time more valuable,” said Narendra Pal Singh, SVP Engineering at Meritto. “Mio AI agents don’t ask what to do, they know. And they act. That’s the shift from automation to autonomy. That’s the infrastructure we’ve built.”

The launch, hosted at Taj Palace, New Delhi, brought together leaders from India’s top universities, business schools, and EdTechs. In one of the day’s most anticipated sessions, Hitesh Oberoi, MD & CEO of Info Edge, spoke about what the AI convergence means for everyone shaping or stepping into tomorrow’s workforce.

This launch follows Meritto’s continued commitment to deep-tech innovation in education, including recent announcements like Collexo Pixi, a smart, unified student ID card. As India’s education sector prepares for its next wave of digital transformation, Meritto remains focused on what it has always done best: building systems that institutions grow on.

To learn more about Mio AI, visit getmio.ai.

Mio AI, Meritto’s purpose-built Agentic AI platform, is designed exclusively for educational institutions. Mio AI brings a fleet of intelligent, autonomous agents that proactively support enrollment, engagement, and operational workflows helping institutions scale smarter, act faster, and deliver seamless student experiences.

Adobe Expands AI Agentic Offerings, Adds New Agent Capabilities in Adobe Experience Platform

• Adobe unveiled Product Support Agent, a new AI Agent in Adobe Experience Platform which helps marketers and experience teams resolve issues impacting marketing workflows
• Product Support Agent is the latest addition to Adobe’s suite of purpose-built AI Agents; it joins the now generally available Data Insights Agent, which simplifies the process of deriving insights from customer data in Customer Journey Analytics
• Product Support Agent and Data Insights Agent are powered by Adobe Experience Platform (AEP) Agent Orchestrator, which allows businesses to build, manage, and orchestrate AI agents across Adobe and third-party ecosystems

Today, Adobe (Nasdaq:ADBE) announced several updates to Adobe’s agentic functionality, including Product Support Agent, a net-new agent which provides an interactive, and guided way for marketers and customer experience professionals to diagnosis and resolve issues impacting marketing workflows in Adobe Experience Platform applications. As part of this expansion, Adobe is also announcing the general availability of Data Insights Agent, the first agent built on the Adobe Experience Platform Agent Orchestrator, which provides the foundation for businesses to orchestrate purpose-built AI agents that engage directly with customers and support the daily work across Adobe applications and third-party ecosystems.

Product Support Agent is designed to support marketing and customer experience teams in their Adobe Experience Platform applications by providing an interactive way to troubleshoot, diagnose, and escalate issues. Too often, marketers experience operational roadblocks that can interrupt workflows and pull their focus away from strategic, high-impact work. Troubleshooting application issues and managing support tickets, can be time-consuming and distract from core responsibilities as they often involve cross-functional inputs and collaboration, and can mean tracking down fixes that require navigating complex workflows and technical documentation, distracting them from core responsibilities. By delivering in-the-moment troubleshooting guidance and case management, Product Support Agent enables faster resolutions and greater operational efficiency.

As soon as a user asks for help with creating a support ticket within the AI Assistant conversational interface, the Product Support Agent gathers relevant contextual data from the environment automatically—logs, metadata, user session details, and more—and accurately pre-fills the support case, which the user can review before submitting. This ensures critical information is captured from the start and enables the agent to handle triage-level tasks like ticket categorization, prioritization, and context gathering, so support teams can begin working on the issue earlier with no delays.

Users can also get real-time status updates for of any open ticket directly through the same AI Assistant interface, without switching tools or logging into separate portals. Product Support Agent will soon be able to provide proactive notifications whenever there’s a change in case status. This reduces follow-ups and means support case requesters can be alerted as soon as there’s progress, allowing them to communicate confidently with stakeholders and stay in control of the support experience.

As part of this expansion, we are also announcing the general availability of Data Insights Agent, the first agent built on the Adobe Experience Platform Agent Orchestrator. Data Insights Agent allows users to query data directly using natural language, just simple questions like “What channels drove the most conversions last week?” and in an instant the Data Insights agent builds the visualization in the Analysis Workspace within Adobe Customer Journey Analysis.

Data Insights Agent not only simplifies insight generation for marketers by allowing them to query their data in natural language and generate visualizations from scratch, but also lets you make changes to previously built visualizations and build analysis iteratively.

“Adobe’s Data Insights Agent will be a major unlock for our organization, shortening the time it takes to find and deliver actionable insights,” said Lokesh Alluri, digital and marketing analytics manager, Lenovo. “By streamlining time-intensive workflows, from reporting to forecasting, we can ensure that every stakeholder has timely data to drive initiatives that enhance customer satisfaction.”

Experience Platform Agents are built for a new era of work where AI is powering creativity and marketing execution to help teams move faster, work smarter, and stay in control. Agentic AI will never replace human expertise, but it can certainly work alongside experts to help create more capacity so they can focus on creative solutions that will drive greater business impact than ever before.

New Relic Unveils Integration with the GitHub Copilot Coding Agent to Accelerate Innovation and Automate Reliability

• Software development solution closes the loop on issue detection and resolution where intelligent agents ensure application health and allow teams to innovate at speed
• Integration reduces time to resolution with end-to-end, proactive monitoring and repair of code issues

New Relic, the Intelligent Observability company, announced an integration of its AI-strengthened technology with the latest agentic capability of GitHub Copilot called coding agent. The powerful integration transforms the traditional, manual approach to change validation and incident response. It gives enterprises a solution for software development that leverages AI to establish a virtuous cycle of continuous improvement. When intelligent agents automatically take steps to ensure application health, enterprises experience increased system reliability and developer productivity.

“Agentic AI is poised to be a transformative technology for enterprise software developers and engineers, who are facing intense pressure to ship more innovations at a faster pace without sacrificing quality and reliability,” said New Relic Chief Product Officer Manav Khurana.“With the innovative integration of New Relic’s intelligent observability technology with GitHub Copilot coding agent, we are closing the loop on ensuring continued application health. Together with our long time partner GitHub, we are providing a new, agentic way for modern software development that uses the power of agentic AI to transform the way enterprises innovate.”

Our integrated solution automates critical end-to-end processes to reduce time, enhance productivity, and increase system reliability

The integration of New Relic AI and GitHub Copilot coding agent has created a cutting-edge development solution that features proactive monitoring, automated issue creation, expedited code repair, and validation and resolution. Within the solution, New Relic monitors code deployments to automatically detect performance issues stemming from changes. Upon identifying a problem, New Relic pinpoints the root cause and automatically creates a comprehensive GitHub issue with all the related, necessary context. Upon inspecting the issue, a developer can decide that the issue context is sufficient and assign it to GitHub Copilot. GitHub Copilot then analyzes the GitHub issue, drafts a fix, and submits a draft pull request for human review. New Relic validates the correction post-merge, completing the cycle.

Key benefits of the integrated solution include:

• Reduced time to resolution - Automates detection and validation processes to address issues faster than ever.
• Improved developer productivity - Empowers engineers to focus on high-impact innovation rather than manual troubleshooting.
• Enhanced system reliability - Quickly resolves performance issues to ensure seamless user experiences.
• Accelerated innovation - Facilitates faster, safer deployment cycles to keep your teams moving forward.

“Millions of organizations rely on GitHub every day for software delivery. Our integrations with key partners like New Relic are instrumental in making our tools that much more scalable, reliable and intelligent,” said Julia Liuson, President, Developer Division, MSFT. "Together with key partners like New Relic we provide developers valuable insights and automation to enhance Agentic DevOps, driving innovation and efficiency across the software lifecycle.”

GitHub Copilot coding agent integration expands New Relic’s partnership with Microsoft and GitHub

New Relic’s agentic AI integrations bring critical observability data and intelligent recommendations across the business and tech ecosystem. The company’s new integration with GitHub Copilot coding agent works alongside the existing GitHub Copilot extension to help engineers get faster feedback on their code and prevent issues from disrupting business.

Availability

The integration is now available through New Relic as a limited preview for eligible accounts that are also Copilot Pro+ or Copilot Enterprise users. Learn more.

GitHub Copilot coding agent is available as a preview to GitHub Copilot Enterprise customers and GitHub Copilot Pro+ users. Learn more.

Resources

• Read the blog post.

About New Relic

The New Relic Intelligent Observability Platform helps businesses eliminate interruptions in digital experiences. New Relic is the only AI-strengthened platform to unify and pair telemetry data to provide clarity over your entire digital estate. We move your problem solving past proactive to predictive by processing the right data at the right time to maximize value and control costs. That’s why businesses around the world—including Adidas Runtastic, American Red Cross, Domino’s, GoTo Group, Ryanair, Topgolf, and William Hill—run on New Relic to drive innovation, improve reliability, and deliver exceptional customer experiences to fuel growth.

Shiprocket Launches India’s First AI-Integrated MCP Server for eCommerce

Shiprocket, India’s leading eCommerce enablement platform, has launched the country’s first Model Context Protocol (MCP) Server for eCommerce Shipping. This breakthrough innovation allows AI agents to directly handle key operations—from checking shipping rates to tracking orders—using a single line of instruction.

This marks a significant milestone in the evolution of agentic eCommerce, giving businesses the ability to automate and execute actions across the eCommerce stack using natural language commands or AI assistants, eliminating the need for traditional dashboards or APIs. With a single, natural-language prompt, businesses can now create, track, or manage shipments, no dashboards, no APIs, just intent. Shiprocket’s newly launched MCP makes this possible by enabling AI assistants, whether internal tools or automation bots, to directly interact with Shiprocket’s platform. From real-time tracking to scheduling a pickup, commerce operations can now be triggered through voice or text commands.

Designed for the next generation of eCommerce operations, the MCP Server delivers:

1. Faster execution – Instantly perform logistics actions, reducing manual effort and delays
2. Seamless integration – Connect effortlessly with AI tools or enterprise systems
3. Hands-free operations – No dashboards or human intervention needed
4. Enterprise-grade security – Built on Shiprocket’s trusted, scalable infrastructure.

Once integrated, AI agents can estimate delivery timelines, check courier rates, track orders, create or cancel shipments, assign couriers based on smart rules, list pickup addresses, or schedule pickups—all with a single line of instruction. Imagine asking:

• “What are the courier options and delivery times from Delhi to Bangalore for a 0.5 KG COD package?”
• “Create a new prepaid order for Order ID 456789 and schedule a pickup from our warehouse.”
• “Track the latest status of Order ID 12345 and notify the customer if delayed.”

The MCP Server integrates effortlessly with modern AI ecosystems, enabling businesses to embed intelligent commerce actions within the tools they already use:

Claude and Cursor: Developers can connect the MCP Server to AI assistants like Claude and Cursor, enabling natural language interactions or voice commands for tasks such as order tracking, shipping rate calculations, and courier selection.

Zapier: Through Zapier's MCP integration, businesses can link Shiprocket's logistics capabilities with over 7,000 applications, facilitating automated workflows without the need for complex coding.

Commenting on the launch, Saahil Goel, MD & CEO of Shiprocket, said: "At Shiprocket, we’re building not just for scale, but for the future. Our MCP Server launch marks a transformative shift from manual workflows to autonomous operations powered by AI. This is how we enable millions of businesses to work smarter, respond faster, and scale effortlessly. This is more than just an integration, it’s a new interface for eCommerce. We’re enabling a world where AI doesn’t just support business decisions, it executes them."

With MCP Server, Shiprocket is not just launching a new integration—it’s introducing a new way to interact with commerce infrastructure. By eliminating friction between decision and execution, businesses can operate smarter, move faster, and scale effortlessly.

NTT DATA Unveils Smart AI Agent™ Ecosystem, Revolutionizing Industry Solutions with Intelligent Automation and Strategic Alliances

NTT DATA, a global leader in digital business and technology services, today announced a comprehensive enterprise-grade Smart AI AgentTM Ecosystem with industry-specific solutions to help clients transform their business. The company also announced a patented plug-in solution that turns legacy bots into autonomous intelligent agents, and an expanded key alliance network for providing best-fit solutions.

"The rapid evolution of AI presents both immense opportunities and challenges for businesses," said Yutaka Sasaki, President and Chief Executive Officer, NTT DATA Group. "At NTT DATA, we have developed the comprehensive capabilities needed to guide our clients through these transformative times and empower them to shape their future with the power of AI."

Assured outcome solutions with embedded Smart AI Agent

NTT DATA has deployed hundreds of Smart AI Agent instances in support of sophisticated processes and decision-making at clients. The company’s roadmap encompasses a continuous stream of new agents to support more complex use cases from a range of industries as well as shared functions. For example:

• Healthcare: Current agents are autonomously classifying, prioritizing and summarizing insurance appeals and making decisions about medical necessity among other responsibilities. The near-term roadmap includes agents that specialize in early interventions, medication compliance, payer validation, and preventing fraud, waste and abuse.
• Automotive manufacturing: Agents already are analyzing regulatory warning letters and citations. The company is now developing agents that specialize in root-cause analysis of defects; initiate corrective actions, recalls or fixes; and launch compliance reviews as needed.
• Finance: Agentic AI solutions are assisting banks, partners and consumers in the continuous pursuit of client and engagement validation requirements, including Know Your Customer and other fraud detection and anti-crime capabilities, minimizing transaction and payment vulnerability.
• Supply chain and logistics: Agents are helping clients select and securely do business with AI startup partners, while also building AI agent prototypes to help businesses deploy and integrate pilots with purchasing workflows and processes, and monitoring adoption, performance and return on investment. Next up are domain-specific steps including agents that intelligently manage procurement services.
• Marketing: In one of many examples, a multi-agent system integrates with a hyperscaler platform to autonomously analyze and categorize user profiles and build psychographic profiles for hyper-personalized ad recommendations. This system continuously learns and adapts, delivering boosted sales and revenue to clients in many industries.

Based on the company’s comprehensive approach to agentic AI, NTT DATA can offer assured outcomes that help clients heighten performance, improve security and cyber resilience, and ignite innovation for profitable growth and superior stakeholder experiences.

“Agentic AI is the next transformative wave that will impact every sector, far more than what we have seen with Generative AI so far,” said Abhijit Dubey, CEO of NTT DATA, Inc. “It’s not just about boosting creativity or productivity. It’s about unlocking new capabilities that can take initiative, make decisions and collaborate with humans in entirely new ways. With our deep expertise in responsible innovation, trailblazing alliances, and visionary clients, we’re excited to lead this future — building the foundation for a reimagined human-machine hybrid workplace and a bold new business landscape.”

Comprehensive Smart AI Agent Ecosystem guides clients through AI adoption

NTT DATA’s Smart AI Agent Ecosystem builds on previous developments to scale the breadth and agility of composable agentic AI solutioning. Key components include:

• Managed agentic services that help clients build, adopt, manage and scale transformative solutions.
• Solutions with embedded Smart AI Agents that offer assured outcomes for clients, including solutions for specific industries and horizontal functions.
• Additional Smart AI Agents targeting industry and horizontal needs.
• Smart AI Agent platform that incorporates integrated tools, utilities, accelerators and best practices; and access to a marketplace with additional agents, large language models (LLMs) and small language models (SLMs).
• AI-ready infrastructure backed by services that leverage public cloud, private cloud, network and cybersecurity.
• Alliances with world-leading technology providers and world-class startups.
• Responsible by design including security, governance and compliance.

The expanded ecosystem empowers clients to envision new ways of operating with smarter automation, resolve global skills shortages and maximize return on investments. Clients also benefit from the assurance of working with a trusted, full-service provider with global scale, scope and expertise.

The Smart AI Agent Ecosystem is complemented by an array of proven NTT DATA services including structured readiness and risk assessments, managed services tailored to hyperscaler AI offerings, and multi-agent management services in hybrid vendor environments. Every aspect of the ecosystem is grounded in the company’s commitment to responsible AI – ensuring it is trustworthy, ethical and secure by design.

“We’ve been leveraging NTT DATA’s end-to-end Agentic AI Services for Hyperscaler AI Technologies to explore both pro-code and low-code agentic AI experiences,” said Pankaj Shah, VP, Chief Information and Digital Officer, Hyster-Yale Materials Handling, Inc. “With their step-by-step advisory approach and outcome-focused strategy, we’re now exploring powerful multi-agent models and identifying new use cases to align with our business objectives and to reimagine how we operate.”

Industry-leading alliances and partnerships offer deep choice

NTT DATA recently announced a strategic collaboration agreement with OpenAI to drive innovation in generative AI. As part of this agreement, NTT DATA will establish an OpenAI CoE (Center of Excellence) to accelerate the development and deployment of new generative AI services powered by the OpenAI APIs. These services will be tailored to specific industries and business functions, and will be introduced globally to deliver enhanced value to clients.

In addition to formal collaborations with world-leading technology providers, NTT DATA also has established alliances with world-class innovative startups including, for example:

• Rafay Systems: Rafay’s platform supports NTT DATA’s delivery of a scalable, secure and developer-friendly Platform-as-a-Service experience on top of AI infrastructure (GPU PaaS), enabling enterprises to streamline GenAI adoption, reduce operational complexity and accelerate the deployment of production-grade AI workloads.
• Kore.ai: The enterprise-grade Kore.ai Agent Platform integrates LLMs to enhance NTT DATA’s Digital Workplace Services. This GenAI-powered automation enables NTT DATA to enhance Service Desk operations, reduce costs and deliver personalized context-aware support to various clients.

Agentic AI services portfolio meets clients where they are with end-to-end ecosystem

The company’s previously announced Agentic AI Services for Hyperscaler AI Technologies offers a comprehensive suite of cloud-managed services to help organizations harness the full potential of agentic AI by leveraging hyperscaler AI technologies.

NTT DATA is rapidly scaling their Agentic AI Services for Hyperscaler AI Technologies to deliver greater value as organizations increasingly mature on agentic AI and adopt multi-AI agent models. For example, leveraging Azure AI Agent Service on Azure AI Foundry, NTT DATA can build, manage and orchestrate multi-agent workflows across multiple platforms. This approach simplifies complex multi-agent deployments.

Additionally, NTT DATA is helping clients work across the agentic AI spectrum by making its tooling available across clients’ cloud platforms. This means that any agent NTT DATA builds can easily be transferred to a clients’ cloud environment across Microsoft Azure, AWS and Google Cloud Platform.

Patented solution transforms bots into autonomous intelligent agents

NTT DATA also announced a patented solution that transforms legacy bots into intelligent agent assets. This plug-in capability is especially important to companies that want to adopt AI but are constrained by technological debt. Millions of Robotic Process Automation (RPA) bots have been deployed by businesses worldwide for rules-based automation. Similar to a plug-in module that turns a basic television into a smart TV, NTT DATA’s new solution can transform bots into intelligent agents that operate autonomously while complying with governance and policies for security and privacy.

“AI is causing a massive shift similar to the early days of the internet — reshaping how we work, solve problems and create value,” Dubey said. “We’re not just watching this future unfold — we’re driving it. At NTT DATA, we’re delivering clients real, measurable impact from AI solutions already, and this patented, transformative plug-in is just one more proof point of what’s possible when innovation meets execution.”

IBM Replaces Hundreds of HR Professionals With AI Agents

IBM has replaced about 200 human resources professionals with AI agents. The company’s AskHR AI agent now automates 94% of routine HR tasks, including pay statements, reported The Wall Street Journal.

However, instead of reducing overall employment, IBM has redirected resources to hire more programmers, salespeople, and marketing professionals—roles that require critical thinking and human interaction.

IBM CEO Arvind Krishna emphasized that this shift has actually led to more hiring in other areas, such as software engineering, sales, and marketing.

“While we have done a huge amount of work inside IBM on leveraging AI and automation on certain enterprise workflows, our total employment has actually gone up, because what it does is it gives you more investment to put into other areas,” Krishna told The Wall Street Journal.

IBM’s approach reflects a broader trend of using AI to handle repetitive tasks while reallocating resources to roles that require critical thinking and human interaction.

IBM has also expanded its generative AI division, which has grown into a $6 billion business, offering tools that allow customers to build AI agents capable of autonomously carrying out complex tasks.

This shift reflects a broader trend where AI is reshaping job roles rather than simply eliminating them.

Several tech companies have started replacing HR professionals with AI agents to streamline operations and improve efficiency. Klarna, the fintech company replaced 700 customer service agents with AI chatbots to handle inquiries and transactions. Cisco, UPS, Duolingo, and Intuit have also integrated AI into their workforce, leading to job reductions in certain areas.

The trend is growing as businesses seek to optimize costs and enhance productivity.

Zoom Expands Agentic Skills With the Launch of Custom AI Companion, Zoom Tasks, AI Calendar Scheduling, and More

Zoom launched additional agentic skills across Zoom Workplace, delivering on the promise of agentic AI with the Custom AI Companion add-on, Voice Recorder, Tasks, and Custom Avatars, plus new features for Zoom Meetings, Zoom Team Chat, Zoom Whiteboard, Zoom Revenue Accelerator, and more.

“A year ago, we launched Zoom Workplace’s AI-first capabilities, transforming how users work—helping them get more done, drive better results, and strengthen their relationships at work. AI Companion became a personal assistant across Zoom Workplace, plugging into all your favorite apps like Outlook, Office, Gmail, Google Calendar, and Google Docs,” said Jeff Smith, head of Product for Workplace AI, Meetings, and Spaces at Zoom.

“Last month, we announced that AI Companion now includes a set of agentic skills so it can understand, plan, and get things done with minimal input from the user. We’re further delivering on that promise by launching Custom AI Companion, agentic AI, and many other features. We continue to push the boundaries of innovation to bring our customers the very best AI-first solutions that drive productivity and collaboration.”

Get more done with Zoom AI Companion across Zoom Workplace

Zoom AI Companion helps users save critical time in their day by surfacing and organizing tasks, enabling them to scale their work, taking notes for them during Zoom Meetings and in-person conversations, and much more, so they have time to focus on what matters most.

Zoom Tasks

Between meetings, emails, chats, and calls, teams and individuals can get overwhelmed with keeping track of everything that needs to get done. Zoom Tasks with AI Companion helps surface, manage, and complete tasks across Zoom Workplace to get more done, and can aggregate tasks all within the centralized task management tab or embed tasks in a Zoom Doc for easy tracking.

• Get a curated to-do list: Zoom AI Companion can automatically generate recommended tasks and assign them to the right owner based on meeting summaries or be prompted to surface tasks from Zoom Team Chat, Zoom Mail, Zoom Docs, and more, quickly converting action items into actionable tasks to accept or delegate to others. 
• Complete to-dos faster: Zoom AI Companion can help users get started and complete tasks by providing insights and recommending next steps.
• Drive follow-through and visibility: Zoom Tasks can help everyone stay on track and in the know by utilizing the centralized task management tab, sharing and assigning tasks across accounts, and summarizing tasks using AI Companion.
• Zoom Tasks is now available for Zoom Workplace plans; with AI Companion capabilities available for eligible paid plans.

Voice Recorder

For in-person interactions, the AI Companion Voice Recorder can transcribe, summarize, and capture action items, so users can enjoy the benefits of AI Companion even when they’re not on a Zoom Meeting or Zoom Phone call. Voice Recorder enables users to connect face to face, whether it’s a spontaneous meeting or a planned one, and not worry about taking notes manually. (Available later this month on mobile and coming to Rooms this summer.)

Streamlining collaboration with enhancements to Zoom AI Companion, Zoom Meetings, Zoom Spaces, and Zoom Team Chat

Zoom prioritizes innovation, consistently delivering new and exciting products like Zoom Tasks, as well as improvements to its existing product lineup.

• To better support multi-lingual and global teams using Zoom Team Chat, Zoom is now using its own Small Language Model (SLM) optimized for specific AI skills to provide improved translations from eight languages (German, Spanish, Italian, French, Portuguese, Portuguese-Brazilian, Simplified Chinese, Traditional Chinese) to English.
• Also in Zoom Team Chat, users can now mention people who are not in a chat/channel and share their contact info without having to add them to the chat/channel. (Available now.)
• Users can ask AI Companion to schedule meetings with multiple participants from the side panel in any product tab within Zoom Workplace. AI Companion will find the best times for all invitees by pulling data from across the platform and suggesting scheduling options for the user to confirm. AI Companion will then set up the Zoom meeting, add it to the participants’ calendars, and generate suggested meeting topics and agendas.
• During Zoom meetings, users can create private group chats 1:1 or with a specific subset of participants. They can even add a custom name to their group to help track multiple private chat groups at once and share links within the private group chats. (Available now.)

Get better results with Custom AI Companion

Custom AI Companion

Starting today, organizations can tailor AI agents and skills to address their unique needs and drive efficiency across their organizations with the Custom AI Companion paid add-on. Custom AI Companion is powered by Zoom AI Studio, a low-code, drag-and-drop builder where admins can customize Zoom AI Companion for their organization.

This summer, users will be able to connect beyond Zoom via integrated third-party AI agents with Custom AI Companion. To facilitate this integration, Zoom will support both Model Context Protocol from Anthropic and Agent to Agent Protocol from Google in Zoom AI Studio, making it simpler to integrate external AI agents with AI Companion.

Bring Your Own Index (BYOI)

With Bring Your Own Index (BYOI), organizations can now connect AI Companion interactions to a wide variety of enterprise data sources like project management tools, cloud storage, email accounts, and customer databases through Amazon Q Business or Glean. For example, users can connect their Amazon Q Business index to surface relevant documents, emails, and project info in AI Companion to quickly gain context during a Zoom meeting.

Custom Avatars for Zoom Clips

Zoom Clips helps users easily share information without the need for a meeting. For example, if a user needs to walk a colleague through a document they drafted, rather than wait for both of them to be available, the user can simply record a Zoom clip and share it with their colleague.

With Custom Avatars for Zoom Clips, users can now use AI Companion to create an avatar in their likeness, provide a transcript of the desired content, and allow AI Companion to generate a clip for them, saving them invaluable time without the need to re-record and helping them scale their efforts.

Custom Avatars for Zoom Clips are designed with security and authenticity safeguards, including protection around the initial video creation. For example, gesture checks help detect the potential use of pre-recorded or manipulated footage, and video and audio watermarks indicate its AI origin.

Custom Avatars for Zoom Clips are available now with the Custom AI Companion add-on and will also be available as a separate SKU, which is planned to be released in May.

The Custom AI Companion add-on is available for $12 per user per month, with more capabilities expected this summer. To learn more about all of the features that are and will be available for Custom AI Companion license holders, visit the Zoom website and read the Zoom blog to learn more about how organizations can tailor AI Companion to meet their unique needs.

Staying organized just got easier

• For those users who aren’t Zoom Whiteboard users yet but would like to be, they can now easily convert boards from Miro, Mural, and Lucid to Zoom Whiteboard. (Available now.)
• To help users create more dynamic Zoom Whiteboards, templates have been enhanced with sticky notes and emoji stacks to make it easier to add objects to a board. AI Companion can also now summarize Whiteboard content. (Available now.) 

Strengthen relationships for better collaboration

When users are given the right tools to connect with their colleagues and customers, enhanced collaboration is possible. Zoom is empowering users with innovations to help spark new connections and foster existing ones.

• Online Fax simplifies business communications by consolidating fax, SMS, and calls on one Zoom Phone number, eliminating the need for additional hardware, providers, complex setups, and extra billing. (Available now.)
• Prioritize urgent voicemails and extract key action items from Zoom Phone for Microsoft Teams with AI Companion, helping users stay organized and manage their time more efficiently. (Planned to be available later this month.)
• To save time and stay organized, the Zoom + Salesforce app provides users with AI-generated summaries of Zoom Phone calls directly in the app. (Available now.)
• To help users work smarter, faster, and more effectively, Workvivo AI, powered by Zoom AI Companion, helps users write better company updates, find answers more easily, and create more engaging surveys. (Available now.)

To learn more about Zoom Workplace, visit the Zoom website.

Empowering contact center and sales teams

Enhancements to Zoom CX include new workforce management features designed to provide greater flexibility, precision, and efficiency in agent scheduling and staffing forecasts. These enhancements empower both supervisors and agents with advanced tools for optimizing workforce planning across multiple channels.

• Deferrable work forecasting enables Workforce Management admins to predict staffing needs for non-real-time communication channels such as email, social media, and voicemail to enable businesses to allocate sufficient resources across all customer touchpoints. (Available now.)
• Seat limits for agent scheduling allow supervisors to set minimum and maximum staffing levels at different times of the day, helping to optimize agent distribution throughout the week. (Available now.)
• Supervisors can also take advantage of the ability to create multiple forecast scenarios, allowing them to model different staffing strategies and analyze how changes in metrics and volumes might impact workforce needs. (Available now.)
• Enhancements to dynamic daily scheduling further improve flexibility using AI by optimizing weekly schedules to customize shift structures for specific days. For example, the system can pick days to be worked, implement shorter shifts on Saturdays, or incorporate additional activities beyond standard breaks and meals. (Available now.)
• Agent scheduling preferences allow employees to rank up to three preferred shift start times in quarter-hour increments to help balance workforce needs with employee preferences and enable increased job satisfaction and improved efficiency. (Available now.)

Zoom Revenue Accelerator

In today’s high-velocity sales environment, teams are under constant pressure to move fast, stay aligned, and keep data consistent across fragmented tools and channels. The latest innovations in Zoom Revenue Accelerator use AI insights and automation to streamline execution and help teams close deals faster with greater consistency and confidence.

A new AI playbooks feature for Zoom Revenue Accelerator introduces an always-on agent that can run on admin-configured sales methodologies such as BANT, SPICED, and MEDDICC on behalf of sales reps behind the scenes. Administrators can deploy out-of-the-box or custom frameworks to ensure a standardized, repeatable approach to sales execution based on organizational preferences. This new feature leverages advanced AI and LLMs to analyze sales conversations to surface key customer insights and automatically suggest updates to opportunity fields. This helps reduce manual data entry, keep CRM records accurate and up to date, and free up sales teams to focus on what they do best — selling.

• By reducing manual data entry and providing more accurate and consistent CRM records, sales teams can focus on selling
• Sales managers gain deeper visibility into team adherence to selected methodologies through tracking and reporting, enabling more effective coaching.
• For administrators, AI playbooks simplify the implementation of standardized or custom sales frameworks for a more structured and scalable sales process.

Additionally, the introduction of deal explorer for Zoom Revenue Accelerator enables sales teams to surface critical sales insights through natural language queries. By aggregating and analyzing information across the entire opportunity lifecycle, deal explorer eliminates the need to manually sift through multiple data sources. This helps sales reps save valuable time, improve sales execution, and stay focused on closing deals with greater confidence.

• For example, sales professionals can ask questions about a specific deal such as “What are the next steps for this opportunity?” or “Has pricing been discussed?” and receive contextual, structured answers based on a comprehensive analysis of calls, meetings, and CRM data.

These new features are available now to Zoom Revenue Accelerator customers.

Zoom expands industry offerings

Frontline workers in industries like retail, manufacturing, first responders, and healthcare need solutions tailored to their specific needs. Zoom is launching two new products that will help save frontline workers time and boost efficiency.

• Zoom Workplace for Frontline: Zoom Workplace for Frontline, a purpose-built, AI Companion-based mobile solution for frontline workers will provide key on-shift communications and work management tools for frontline workers in industries such as retail, healthcare, manufacturing, hospitality, and others to help them be more connected and efficient in their daily tasks. To learn more about Zoom Workplace for Frontline, visit the Zoom newsroom. (Available now.)
• Zoom Workplace for Clinicians: Zoom and Suki, a leader in AI technology for healthcare, are partnering to provide AI-generated clinical notes to healthcare institutions. Zoom Workplace for Clinicians’ clinical notes feature will help to streamline and automate clinical note-taking during in-person and virtual patient-physician interactions by allowing physicians to focus more on patients instead of paperwork. To learn more about Zoom Workplace for Clinicians, visit the Zoom newsroom. (Available now.)