Deeptech Accelerator Fund Grant
In context
This call is open to startups, at idea and R&D stage, prototype and pilot stage and pre-seed. Funding is an equity investment. Coverage is read from the notice itself: India and any country.
This fund invests in early-stage deeptech startups from India building innovation-first ventures in climatetech and digitalization sectors. It targets founders scaling deep-tech solutions globally with a focus on climate and digital transformation.
About this grant
This fund supports early-stage deeptech startups founded by or based in India that are developing innovative solutions for global markets. It focuses on ventures tackling hard technical problems in climate software and data, and industrial decarbonisation, with a technology-first approach. Funding takes the form of equity investment combined with accelerator programme support. Eligible applicants are startups at idea, research and development, prototype, pilot, pre-seed or seed stage. The fund prioritises founders building ventures intended to scale internationally.
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Key requirements
- ✓Early-stage deeptech startup based in or founded by India-origin team
- ✓Focus on climatetech or digitalization innovation
- ✓Innovation-first venture building for global markets
- ✓Demonstrable deeptech differentiation and IP potential
Frequently asked questions
- Who can apply for Deeptech Accelerator Fund?
- Eligibility covers organisations in IN, GLOBAL; startup.
Relevant sectors
How this compares
- Compared with 17 similar grants (climate data in India) listed in the last 12 months.
- The same organisation listed 4 other similar grants here in the last 12 months.
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Figures are computed from notices listed on Raise Lens in the same sector and country over the last 12 months.
About this sector
Climate software and data funding supports emissions accounting, climate risk analytics, Earth observation, digital MRV and tools for planners. It is offered as innovation grants, public contracts for data services and support from technology programmes. Buyers generally look for data quality, interoperability and evidence that users rely on the tool.
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