SatSure Receives New Funding to Advance Sovereign Earth Observation AI

Share:

Image credit: SatSure and IN-SPACe
SatSure Analytics India Pvt. Ltd. has received a grant of ₹24.6 crores from IN-SPACe under the Technology Adoption Fund (TAF) to develop Vision Foundation Models and Large Earth Observation Models (LOMs) – collectively called Dhaarini – that is purpose-built for India’s geographies, climate systems, and development priorities. 

The grant was formalised at a signing ceremony in Ahmedabad yesterday between Prateep Basu, Co-Founder and CEO of SatSure, and Dr. Pawan Goenka, Chairman of IN-SPACe.

“The selection of these projects under the Technology Adoption Fund marks a pivotal step in our mission to transform Indian private entities into global space leaders. When we launched this fund, our vision was to bridge the critical gap between early-stage development and commercial success. This announcement marks a major milestone in IN-SPACe’s ongoing efforts to enable private sector participation and build a robust, innovation-driven space ecosystem in India. By offering this financial support, we are empowering the private sector to work on cutting-edge space technologies. These selected projects are not just innovative concepts; they are practical and market-ready solutions that will increase our footprint in the global space economy.” said Dr. Pawan Goenka, Chairman, IN-SPACe.

Large language models like GPT or Gemini learn from text. Large Earth Observation Models (LOMs) do the same for the physical world, learning the patterns of India’s monsoon dynamics, fragmented smallholder farmlands, flood cycles, urban expansion, coastal change, and tier-2 city expansion. 

General-purpose globally-trained AI systems struggle to internalize India’s region-specific climate signals, and routinely misread these realities because they are approximated through discrete downstream adaptations. SatSure’s Dhaarini, the sovereign Earth observation model, will address that gap directly, building a reusable intelligence layer that can be plugged into India-specific applications across energy, power infrastructure, finance, agriculture, defence, and forestry without retraining from scratch each time, or generating inaccurate “hallucinated” data.

“This is an important milestone for SatSure and for India’s AI and space ecosystem. Large Earth Observation Models represent the next frontier of AI beyond language, enabling intelligence at national scale. Grateful to IN-SPACe and the expert committee for championing sovereign Earth Observation AI that’s grounded in India’s agricultural diversity, varied topography, climate realities, and urban complexity. Dhaarini becomes a key pillar for our upcoming satellite fleet and existing downstream solutions across financial services, forestry, agriculture, defence, and critical infrastructure.” said Prateep Basu, Co-Founder & CEO, SatSure.

SatSure’s win is one of only three projects selected by IN-SPACe following a multi-stage national evaluation process, covering very different technology needs.

The winners are:

  • a reusable high-thrust rocket engine,
  • SatSure’s Large Earth Observation Model and Earth intelligence system – Dhaarini,
  • indigenous high-accuracy star trackers.

“Earth Observation is moving from project-specific analytics to reusable intelligence infrastructure. Large Earth Observation Models are an important part of this shift, but the real transformation lies in building sovereign Earth intelligence layers that can compound across data, embeddings, models, evaluation systems, and downstream decision workflows. For India, this means encoding our geography, climate dynamics, agricultural diversity, and infrastructure realities directly into the intelligence stack, so the same foundation can support decision systems across sectors over time.” said Rashmit Singh Sukhmani, Co-Founder & CTO, SatSure.

Read More