The Government of Maharashtra has officially shortlisted Findability Sciences Pvt Ltd for innovation funding and strategic support under the Maha Agri-AI Policy 2025–2029 a pioneering state initiative designed to accelerate the adoption of Artificial Intelligence (AI), Generative AI (GenAI), and cutting-edge digital technologies across agriculture.
The Maha Agri-AI Policy outlines a comprehensive roadmap to drive technology-enabled, farmer-centric transformation, aiming to enhance productivity, strengthen climate resilience, increase farm incomes, and contribute to India’s Viksit Bharat@2047 vision alongside the United Nations Sustainable Development Goals (SDGs). The policy seeks to position Maharashtra as a national leader in AI-driven agricultural innovation and set a model for sustainable growth in the farming sector.
Findability Sciences’ selection for the final round of state-level funding recognises the company’s proven expertise in enterprise AI, advanced analytics, and domain-focused digital solutions. Its work spans predictive decision-making, operational optimisation, and data-driven intelligence. Notably, the company’s Stomata Labs division develops AI-first solutions for agriculture and agro-industrial operations, integrating farm, factory, and commercial data into actionable insights. This enables farmers to improve crop yields, mill operators to optimise processing, and leaders across the value chain to make informed, data-driven decisions.
Anand Mahurkar, Founder & CEO of Findability Sciences, said, “This recognition validates our commitment to delivering AI solutions with measurable impact. From field forecasting to process optimisation through Stomata Labs, our focus is on real-world outcomes that enhance productivity, resource efficiency, and economic value. Partnering with the Government of Maharashtra will allow us to scale actionable AI across the agricultural economy.”
Findability Sciences has consistently advanced AI-powered decision systems that move organisations from reactive to predictive performance. Its portfolio combines predictive analytics, generative intelligence, and operational workflows that improve efficiency and sustainability across complex environments, from agriculture to industrial operations.
The collaboration under the Maha Agri-AI Policy signals a new phase for Maharashtra’s agricultural sector, blending innovation, AI, and sustainability to empower farmers and industrial stakeholders alike. With strategic support from the state government, initiatives like these are expected to accelerate AI adoption across farms, sugar mills, and related agro-industrial sectors, driving measurable benefits and contributing to a more resilient agricultural ecosystem.
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