IIT Hyderabad, Department of Posts, and NRSC (ISRO) Collaborate to Launch DIGIPIN: A National-Scale Geospatial Addressing System for India

• Compactness: Short and efficient codes for ease of use.
• Geographic Precision: Ability to extract exact latitude and longitude coordinates.
• Inclusivity: Coverage for all parts of India, including densely populated and remote regions.
• Privacy: DIGIPIN carries no personal information.
• Future-readiness: Scalable and adaptable for future needs.

In a landmark move to revolutionize India’s addressing infrastructure, the Indian Institute of Technology Hyderabad (IITH), in collaboration with the Department of Posts and the National Remote Sensing Centre (NRSC), ISRO, Government of India, has developed DIGIPIN – an open-source, machine-interpretable geospatial addressing system designed to provide precise and standardised digital addresses across the country.

Traditional descriptive addresses in India suffer from a lack of uniformity and machine-readability, causing inefficiencies in postal and logistics operations. DIGIPIN aims to transform this system by introducing a geo-coded, digital public infrastructure (DPI) layer for India’s physical addressing landscape.

DIGIPIN is a compact, intuitive, and human-readable geohash, capable of encoding the latitude and longitude of any point of interest in India, from urban households to remote maritime locations. The system is designed for offline usability, privacy, and robustness, making it suitable for diverse applications including e-commerce, emergency response, and public service delivery.

Dr Shashank Vatedka

 DIGIPIN is the outcome of a dedicated research effort by a team of faculty from the Department of Electrical Engineering at IIT Hyderabad, Dr Shashank Vatedka, Prof Soumya Jana and Dr Lakshmi Prasad Natarajan, along with Tarandeep Singh, a former MTech (AI) student. Their work has produced a geohashing scheme that encapsulates geographic coordinates into short, intuitive codes, which can be extracted even offline using location-enabled devices.

Prof. Soumya Jana

Dr Lakshmi Prasad Natarajan

Prof. B S Murty, Director of IITH, expressed pride in the achievement, stating, “DIGIPIN represents a leap towards the vision of a digitally empowered India. By converting every location into a simple, verifiable, and interoperable digital code, we are laying the foundation for an address infrastructure that can scale with our nation’s growing technological and societal needs. IITH is proud to contribute to this national initiative that blends open-source innovation, geospatial intelligence, and public service and this can be considered a revolution in the field of Navigation.”

Dr. Shashank Vatedka, Assistant Professor, Department of Electrical Engineering, IITH, mentioned that, “DIGIPIN will provide immense convenience to Indian residents and all stakeholders by succinctly and precisely representing a physical address. For instance, it could be represented as a QR code or a barcode and printed on consignments for machine-based routing; DIGIPIN could be easily stored and communicated using digital wallets.

Dr. Lakshmi Prasad Natarajan, Associate Professor, Department of Electrical Engineering, IITH, mentioned that, “The idea was to make it as easy as possible to automatically assign codes and start using DIGIPIN with as little manual intervention as possible. In many cases, finding one’s DIGIPIN would be possible using only a device with a reasonably good location service (such as a smartphone) and an app equipped with a high-resolution map.”

Dr. Soumya Jana, Professor, Department of Electrical Engineering, IITH, mentioned that “The applicability of DIGIPIN could be wider, going beyond the primary use as a digitization technology for conventional addressing. They could be used in scenarios where conventional addresses are inconsistent or not available, such as emergency response services, locating public service centres/utilities such as Health camps, Aadhar enrollment offices, and so on.”

DIGIPIN is a geohashing scheme designed to have the following features:

• The length of the DIGIPIN is designed to be as small as possible in order to provide an efficient digital representation of addresses.
• It contains the geographic location of the address. It is possible to extract the latitude and longitude of the address from the DIGIPIN with low complexity. This can also be done offline.
• All points of interest to India (including maritime regions) are assigned DIGIPIN, and it is possible to assign a unique DIGIPIN to very densely populated areas.
• The format of the DIGIPIN is intuitive and human-readable. An effort was made to infuse a sense of directionality within the format of DIGIPIN.
• Ease of code assignment and usability: A crucial point of consideration was to make it as easy as possible to automatically assign codes and start using DIGIPIN with as little manual intervention as possible. In many cases, finding one’s DIGIPIN would be possible using only a device with a reasonably good location service (such as a smartphone) and an app equipped with a high-resolution map.

DIGIPIN only encodes geographical information and contains no personal details that could lead to privacy violations.

DIGIPIN is designed to be robust to future developments and changes.

Airbus Expands Its Very High-Resolution Earth Observation Satellites Constellation

Airbus has launched the Pléiades Neo Next programme, which is a significant expansion of its very high-resolution Earth observation constellation. This initiative will introduce new satellite assets and capabilities, including an enhanced native resolution. The first step in this programme is the development of a new satellite, set to be launched in the coming years.

The Pléiades Neo Next programme is designed to build upon the success of the current Pléiades Neo constellation, which provides services to both government and commercial customers globally. With this expansion, Airbus aims to further improve the quality, performance, and reliability of its geo-Intelligence services and applications.

Airbus is a global leader in aerospace, including the design and manufacture of satellites for Earth observation and other purposes. The company operates the largest Earth observation constellation, which includes the Pléiades Neo, Pléiades, SPOT, DMC Constellation, and Vision-1 optical satellites, as well as the Radar Constellation consisting of TerraSAR-X, TanDEM-X, and PAZ.

Pléiades Neo HD15 over The Petit and Grand Palais in Paris. © Airbus DS 2022

The new programme Pléiades Neo Next is fully funded, manufactured, and operated by Airbus Defence and Space. It promises to offer full image capacity for a variety of sectors, including defence and intelligence, agriculture, environment, maritime, disaster response, mapping, location-based services, civil engineering, urban planning, and utilities. Users will have the ability to directly task the Airbus satellites shortly before they pass over the area of interest, with images being swiftly delivered either through Direct Receiving Stations on the ground or via the OneAtlas digital platform.

The collaboration between Pléiades Neo and Pléiades Neo Next satellites will ensure a higher revisit rate anywhere on Earth, potentially several times per day, along with the best spatial resolution and geolocation accuracy currently available in the market. The development of Pléiades Neo Next will also see improvements to the ground segment, the Direct Receiving Stations, and the OneAtlas platform, enhancing the capacity for imagery requests and optimizing the time between request, capture, and reception.

This expansion signifies Airbus's commitment to reinforcing its Earth observation capabilities and remaining at the forefront of geospatial technologies. The Airbus fleet, which includes both optical and radar satellite constellations, offers complementary services and applications with various resolutions, all-weather, and day-and-night capabilities. Additionally, Airbus is developing new capabilities based on stratospheric platforms.

Compared to other Earth observation satellites, the Pléiades Neo Next programme aims to provide unprecedented precision, reactivity, and acquisition capacity. It's designed to support a wide range of sectors including defense, intelligence, agriculture, environment, maritime, disaster response, and urban planning, among others. The combination of these features makes it a highly competitive option in the global Earth observation market.

The Pléiades Neo constellation is particularly noteworthy as it is entirely funded, manufactured, owned, and operated by Airbus, providing 30cm resolution images. This high-resolution imagery supports a wide range of applications, from environmental analysis and disaster management to urban planning.

IBM and NASA to Create New AI Foundation Model for Weather and Climate

• IBM collaborating with Mohamed Bin Zayed University of Artificial Intelligence, Government of Kenya and the United Kingdom's Science and Technology Facilities Council (STFC) Hartree Centre to expand application of IBM's geospatial AI technologies to urban heat island mapping, reforestation and climate resiliency in aviation.

IBM (NYSE: IBM) today announced new efforts that apply its geospatial AI technologies, including IBM's geospatial foundation model developed in collaboration with NASA, to climate efforts including analysis of urban heat islands in the United Arab Emirates (UAE); reforestation across Kenya; and climate resiliency in the United Kingdom (UK).

IBM continues to advance its AI model strategy in part through the creation, training, fine-tuning and open-sourcing of foundation models – models that can be used for different tasks and apply information from one situation to another – designed for domains beyond natural language, including geospatial applications.

These models, which are trained on geospatial information such as satellite images, present a unique opportunity to address climate change because unlike traditional AI models tailored for specialized tasks, geospatial foundation models – encompassing satellite and weather data – create knowledge representations from petabytes and exabytes of climate-relevant data that can facilitate accelerated and streamlined discovery of environmental insights and solutions. These models can also be fine-tuned and applied across a multitude of areas driving or revealing climate change, from flood detection to fire scars.

"Climate change is a real and pressing issue that we must find new ways to address as quickly and efficiently as possible, including through today's most advanced AI technologies," said Alessandro Curioni, IBM Fellow and Vice President, Accelerated Discovery at IBM. "AI foundation models utilizing geospatial data can be a game-changer because they allow us to better understand, prepare and address the many climate-related events effecting the health of our planet in a manner and speed never before seen. We are hopeful these technologies can help accelerate the rate at which we derive and apply solutions for a safer and healthier planet for future generations."

Analyzing urban heat islands in the UAE

By the end of this century, many cities will likely experience disruptive and excessive heat waves if GHG emissions continue at high levels. To develop sustainable and equitable plans to keep cities habitable, the rising heat levels must be accurately mapped and addressed.

IBM and the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) are pioneering an attempt to apply foundation models to the mapping of urban heat islands – areas with significantly higher temperatures compared to surrounding locations. This innovative research specifically applies a fine-tuned version of IBM's geospatial foundation model to understand the urban environment in Abu Dhabi and how the underlying landscape in the UAE impacts the formation of urban heat islands.

To date, the model has informed efforts that have succeeded in a reduction of heat island effects in the region by more than 3oC (5.4 F)1. Going forward, the model is expected to continue to provide unique insights that inform the development of urban design strategies designed to help reduce urban heat stress in changing climates.

Professor Tim Baldwin, MBZUAI Acting Provost, said: "Our collaboration with IBM marks a groundbreaking effort to utilize foundational AI models in analyzing and identifying solutions to urban heat islands for Abu Dhabi and parts of the UAE, a region which is particularly affected by climate change. This research underscores the vital role of AI in tackling global issues, emphasizing the urgency of continued exploration and innovation. By harnessing the power of AI, we are not merely addressing challenges; we are proactively shaping solutions for a sustainable future. In a world confronted by unprecedented challenges, MBZUAI stands at the forefront of pioneering research in AI, recognizing the transformative power it holds."

Advancing reforestation and water sustainability in Kenya

In December 2022, President of Kenya H.E. D.R William Ruto unveiled the National Tree Growing and Restoration Campaign designed to plant 15 billion trees across Kenya by 2032, including in areas of critically affected water towers – forested landscapes that retain water and source many rivers throughout Kenya. While water towers account for about three quarters of the nation's water resources, deforestation is contributing to increasing water scarcity in these regions.

IBM and the Kenyan government's office of the Special Envoy for Climate Change Ali Mohamed have signed a Memorandum of Understanding (MoU) to support the National Tree Growing and Restoration Campaign through a new "adopt-a-water-tower" initiative. The effort will be fueled by a new digital platform that leverages IBM's geospatial foundation model to enable users to track and visualize tree planting and tree growing activities in specific water tower areas. Local developers can also create fine-tuned models combining the IBM geospatial model with their own localized information to monitor forest restoration and measure above-ground biomass such as sequestered carbon, ultimately mobilizing on-the-ground efforts to plant more trees across Kenya's water tower regions.

The President's Spokesperson, Mr. Hussein Mohamed, MBS, said: "We recognize that technology plays a pivotal role in unlocking our full potential, optimizing resource utilization, and seizing opportunities. It serves as a means to ensure that we harness our resources most effectively to drive our grassroots-driven economic transformation agenda. Through our partnership with IBM, we have the capability of harnessing the power of artificial intelligence and geospatial data to advance our climate ambitions. These ambitions include planting 15 billion trees, rejuvenating our vital water towers, fostering increased collaboration with the private sector to promote a just energy transition for communities around our forests. Simultaneously, this collaboration will enhance our capacity to equitably participate in the carbon economy. The potential of this collaboration extends beyond our borders and has the capacity to be replicated in other nations seeking to enhance their forest cover while also improving the economic and health well-being of their communities."

Elevating climate resiliency across the United Kingdom

In 2021, IBM and the Science and Technology Facilities Council's (STFC) Hartree Centre collaborated to explore the application of next-generation technologies including AI from IBM to address climate risk and resiliency across the UK.

Now, IBM, STFC and Royal HaskoningDHV, a global consulting engineering company, have collaborated to establish a new service, leveraging IBM's geospatial AI tools, that seeks to automate and scale climate risk assessment processes for organizations. The service's first use case will focus on the aviation sector, in which IBM's geospatial AI will assess impacts weather-related issues, 
including:

• Short-term impact of extreme weather on aviation operations.
• Long-term impact of climate change on future airport operations and infrastructure.

In addition, IBM and STFC Hartree Centre, through the Hartree National Centre for Digital Innovation, are advancing a new area of research with Dark Matter Labs and Lucidminds, as part of their TreesAI project. The research project will apply IBM geospatial AI technologies to their Green Urban Scenarios (GUS) model to map urban locations where trees can be planted to help alleviate the risk of surface water flooding. The effort will eventually inform an end-to-end digital planning platform for urban planners, project developers and green urban investors across the UK.

Kate Royse, Director at STFC's Hartree Centre, said: "There has never been a more important time to prepare for the challenges posed by climate change, both from an industrial and societal perspective. Here at STFC's Hartree Centre we're excited to be working with IBM and Royal HaskoningDHV, using advanced AI technologies to help the aviation industry prepare for climate risks, and become more resilient against the effects of extreme weather. Equally, our collaboration with IBM and Dark Matter Labs on the TreesAI project through our HNCDI programme will enable smarter decisions based on accurately predicting and managing flood risk, which is critical to all future city planning. Advanced AI technologies are key driver in enabling us to build a more resilient world against the adverse impacts of climate change."

Djeevan Schiferli, Climate Intelligence Business Strategist, Royal HaskoningDHV said: "Operational and strategic planners in every company require a clear understanding of how weather and climate-related incidents affect their business operations. By harnessing AI and geospatial data, we will super charge our climate risk assessments on a global scale."

Chloe Treger, TreesAI UK Lead, said: "Over 300,000 properties are at risk of surface-water flooding. Without action, this figure is set to almost double by 2055 due to climate change and urbanisation. Through our collaboration with IBM and STFC, we have been able to observe how trees contribute to reducing surface water flooding risks across the city under different scenarios, using GUS. This has enabled us and our partners to make the business case for tree planting and maintenance. After a successful pilot in Glasgow, we are now looking for further locations to embed this powerful data-enabled decision-making tool."

Extending NASA collaboration to apply generative AI to weather

Beyond their initial commitment to build and deploy a geospatial foundation model, IBM and NASA have also announced work on a new, separate AI foundation model for weather and climate. By applying AI technology from IBM, the model aims to improve the accuracy, speed and affordability of weather forecasting and other climate applications. Sample applications of the model not only include forecasting, but also super-resolution downscaling, identifying conditions conducive to wildfires, and predicting meteorological phenomena. IBM researchers will work alongside NASA domain experts to train and validate the model.

Winners of the DST Geospatial Hackathon 2023

CIE (Centre for Innovation and Entrepreneurship), one of India's largest and oldest academic incubators, fostering deep-fetch early-stage startups at IIIT (International Institute of Information Technology)-Hyderabad, a leading research university in the country hosted recently the final event of the Geospatial Hackathon in Collaboration with DST (Department of Science and Technology), SOI (Survey of India) and Microsoft.

The four winners were selected. The final 4 winners-built solutions including Weather Forecast API services, efficient Geographical Text Analysis etc. The hackathon attracted over 500 applications, of whom 70 were selected for the final round.

The winners of the challenge are Faizan Khan (A high-resolution, dynamic and accurate weather forecast API ), Dhanashri Patil (App, that will measure the UN SDG Goals via Geospatial data), Ambarish Ganguly (The socio-economic data that would be consolidated with geospatial data as well as tabular data), VSS Kiran (GeoAI entity recognition model to extract a predefined set of entities from raw text and generate thematic maps).

 

The DST Geospatial Hackathon offers the winners a POC(Proof of Concept) to work with Survey of India, Tech Support from IIITH and Azure credits from Microsoft. Also, the opportunities to participate and present at industry events.

The 4 winners were selected post a national campaign that attracted applications from a large number of startups/research teams and students applying. CIE IIIT-H launched the hackathon earlier this year on 14 January 2023.

The Geospatial Hackathon had two challenges: A Startup Challenge to promote the use of geospatial technologies in solving real-world problems. The second one was the Research Challenge, which was specific to real-time geospatial problem statements given by DST (Survey of India). The challenges were open to students, innovators, researchers, working professionals and startups.

The top 5 in each challenge are Team Sac (a model that learns segmentation features effectively through a diverse set of satellite images using deep learning), Team Technosync (Blockchain technology is a distributed ledger technology that enables the creation of a decentralized and secure digital record of transactions), Pyare Lal ( point cloud segmentation using deep learning is to utilize the RandlaNet architecture), Garudylatics (GeoAI model which is capable of real-time identification and classification of road cracks), CommutLink (contactless solutions to identify violations in the use of cycle lanes, capture evidence of violation), and The Saviour (Precision agriculture, Environmental monitoring, Building a community for farmers).

The Finale Event of the DST Geospatial Hackathon was held for all the winners and the top 5, which was joined by the DST, SOI, Microsoft and IIIT-Hyderabad Teams.

Prof. Ramesh Loganathan, COO at CIE-IIITH said “Very happy that IIITH got the opportunity to drive this unique challenge hackathon to get solutions from both research and startups. Such initiatives are much needed to seed and nurture innovations coming from research”.

DN Pathak, Director at Survey (Air) & Delhi Geo-spatial Data Centre, Survey of India said “The Geospatial Hackathon not only showcased the power of geospatial technology but also exemplified the importance of collaboration and teamwork. Participants showcased remarkable problem-solving abilities throughout the hackathon and utilized geospatial data to uncover valuable insights. The creative solutions developed during the event highlighted the potential of geospatial technology to transform industries, improve decision-making, and create sustainable solutions for a better future”

Sanjay Dhingra, Director at Public Sector, Microsoft said “The Great Collaboration between Microsoft, IIITH, DST and SOI has created an incredible journey, a hackathon dedicated to Geospatial Technology. We are excited to carry this momentum forward inspiring others and making a long-lasting impact in the world of Geospatial technology".

The winners of the DST Geospatial Hackathon, Startup Challenge are

Tensor Dynamics — A high-resolution, dynamic and accurate weather forecast API providing weather data at multiple spatiotemporal scales designed to serve the needs of the Power industry.

Morai Solutions — The solution is to develop an App, that will measure the UN SDG Goals via Geospatial data. For Eg, in the case of hospitals (UN SDG Goal 3 - Healthcare), it will display the spatial distribution of Hospitals in a given area and per population density. A progress tracker will measure the SDG Goal progress every year.

The winners of the DST Geospatial Hackathon, Research Challenge are:

Ambarish Ganguly — The solution would be to develop the Socio-Economic Hub for India. The socio-economic data would be consolidated with geospatial data as well as tabular data.

Garudalytics Pvt Ltd Developed a GeoAI entity recognition model to extract a predefined set of entities from raw text and generate thematic maps.

The Top 5 of the DST Geospatial Hackathon, Startup Challenge are

Tensor Dynamics — A high-resolution, dynamic and accurate weather forecast API providing weather data at multiple spatiotemporal scales designed to serve the needs of the Power industry.

Morai Solutions — The solution is to develop an App, that will measure the UN SDG Goals via Geospatial data. For Eg, in the case of hospitals (UN SDG Goal 3 - Healthcare), it will display the spatial distribution of Hospitals in a given area and per population density. A progress tracker will measure the SDG Goal progress every year.

Garudylatics Pvt Ltd — GeoAI model which is capable of real-time identification and classification of road cracks, potholes and other features on archived and live video feeds. It analyzes their spatial density and severity and presents the information on a dashboard.

CommutLink — Develop contactless solutions to identify violations in the use of cycle lanes, capture evidence of violation (infringement by other vehicles for movement or stopping) and alert the same to concerned authorities for enforcement.

The Saviour

1. Precision agriculture
2. Environmental monitoring
3. Building a community for Farmer

Geospatial Intelligence Startup Intents Mobi Raises Rs 1.5 CR on Podcast "The BarberShop with Shantanu"

Intents Mobi CoFounders Tabrez Alam & Naresh Kumar Kachhi

• Raises funds on “The Barbershop with Shantanu”
• Funds will be used to ensure continual growth of products
• To invest in data & solutions – main aspects of the product
• Looking to raise $ 3 million for expedited growth

Intents Mobi, a Gurgaon based geospatial intelligence startup today announced that it has raised Rs 1.5 CR. The funding was raised on “The Barbershop with Shantanu”, a podcast show helmed by Shantanu Deshpande, Founder – The Bombay Shaving Company. The round saw participation from prominent executives from various organizations.

Founded by Tabrez Alam, Naresh Kumar Kachhi, Balasubramaniam S and Prakash Velusamy, the company is now 19 people strong with 13 members purely focussing on the technology development. With a small team, the company has been able to create AI based technology to process large scale data. Their engines gather and process road data worth more than 4.5 crore kilometers per day with more than 5 terabytes of image data processed each month. The company utilises a network of ‘Scouts’ which is a gig economy of over 900,000 users who contribute to the data generation for location intelligence.

Speaking on the occasion, Tabrez Alam, Founder - Intents Mobi, said, “The new funds will be utilised to ensure the continual growth of products. We shall invest in the two major aspects of the product, which are data and solutions. With this round we expect to launch 2 new products that are aimed at making location intelligence accessible to Market Research and Fleet Management companies"

Elaborating, Shantanu Deshpande said, ‘Tabrez and Naresh are building a disruptive technology company out of India and it is very exciting for us. They have credibility as founders, knowledge of the space and drive. We are thrilled to partner with them on this journey.’

Intents Mobi will deploy the current fundraise to ensure ongoing pace in it’s continual growth. The company is also looking at raising 3 million dollars for expedited growth. Intents Mobi has some of the biggest names in various industries as their clients, including Here Maps, TomTom and Honda among others.

About Intents Mobi:

Founded by Tabrez Alam, Naresh Kumar Kachhi, Balasubramaniam S and Prakash Velusamy, Intents Mobi is a Geospatial Intelligence startup. With a team of 19, the company utilises a network of ‘Scouts’ which is a community of over 900,000 users who contribute to the data generation for location intelligence.

T-Hub Partners with Hexagon to Build a Geospatial Experience Centre

The Geospatial Experience Centre will be placed at T-Hub’s new facility, building solutions and products on Hexagon’s technology platform.

The partnership aims to provide startups with potential co-creation, and partnership opportunities.

T-Hub, which leads India’s innovation ecosystem, today announced its partnership with Hexagon, a global leader in digital reality solutions, combining sensors, software and autonomous technologies to build a Geospatial Experience Centre at T-Hub. With this collaborative partnership, both organisations aim to further accelerate India’s growing startup ecosystem by providing technology expertise to startups.

This partnership will help Hexagon to leverage T-Hub’s innovation expertise and ecosystem of startups, corporates, and investors to accelerate its innovation agendas. Hexagon, a leading geospatial technology corporation, will provide an array of opportunities to startups, such as access to technology expertise (both hardware and software), co-creation and co-innovation of products, support in building pilots and Proofs-of-Concept (POCs) and providing mentorship wherever required. Hexagon will also build a sandbox environment to help startups in building solutions. 

Besides this, the Geospatial experience centre will be leveraged to identify innovative ideas, individuals and startups while also boosting technological capabilities for startups, such as facilitating open innovation for early and growth stage startups, experiments for developing POCs in the fields of Geospatial technology, networking and partnership exposure and accelerating their proficiencies

MSR, CEO of T-Hub, said, “We are excited to have Hexagon join our innovation ecosystem and look forward to working with them to shape the future of the geospatial industry in a connected and sustainable way. The Experience Center will help create breakthrough solutions with knowledge and expertise to create more value for startups and our partner.”

Navaneet Mishra, SVP and GM of Hexagon Capability Center India (HCCI), said,” HCCI is the single largest R&D hub of Hexagon globally, and we are fortunate to be working on all of Hexagon’s business units and technologies. To expand our innovation beyond our employee base, we have decided to collaborate with THUB and open a Geospatial Experience Center Hub that will be open to relevant startups. They will be able to build on top of our platforms and solutions and scale while solving real world problems.”

Further, the centre will provide access to Hexagon’s geospatial technology for external research developments through academic and research partners. The collaboration is also aimed at creating solutions for the Indian and global markets.

Dr Burkhard Boeckem, CTO, Hexagon AB, “Hexagon is a global leader in smart digital reality with core capabilities in sensors, software, and autonomous solutions. India has a booming startup ecosystem, and we strongly feel that we can collaborate with the budding geospatial startups to help them in their respective journeys and learn in the process.”

T-Hub’s programs have been successfully scaling startups in partnership with a robust ecosystem of partners. T-Hub, to date, has impacted over 2000 startups through various programs and initiatives, has over 600 global and national corporate partners and has provided 2000 mentor connects to help the startup scale. T-Hub will continue to drive collaboration between startups and leading innovation ecosystems worldwide, providing global market-access opportunities to startups.

T-Hub (Technology Hub) is an innovation hub and ecosystem enabler. Based out of Hyderabad, India, T-Hub leads India’s pioneering innovation ecosystem and is the world’s largest innovation campus. Over the six years, T-Hub has pivoted around the 6Ms (Mentorship, Money, Market Access, Motivation, Mindset, Manpower) and 2Ps (Partnerships & Policy advisory) framework with a mission of driving results and collaboration for entrepreneurs’ success. It has delivered 100+ innovation programs so far, creating an impact for startups, corporations, and other innovation ecosystem stakeholders. Since inception, it has provided over 2000 national and international startups with access to better technology, talent, mentors, customers, corporates, investors, and government agencies.