Generative AI advisory, computer vision, predictive analytics and frugal robotics — designed for the Indian smallholder reality.
Generative AI has moved from novelty to necessity. We build and advise on multilingual voice-and-text advisory systems that allow farmers to interact with technical guidance in their own dialect, on their own device. Our work integrates climate data, satellite signals, soil records and crop-cycle history to produce advice that is specific rather than generic.
Computer vision has revolutionised pest, disease and quality assessment. Our advisory practice helps clients select, deploy and validate vision systems that match Indian conditions — variable lighting, dust, intermittent connectivity, and the diversity of Indian crop varieties. We work with leading Indian platforms and have visibility into international benchmarks.
Yield risk, weather risk, price risk and credit risk all benefit from predictive modelling. We design and validate machine-learning models for crop-loss assessment, insurance, credit decisioning and supply-chain optimisation. Our methods integrate with the Pradhan Mantri Fasal Bima Yojana digitisation, Kisan Credit Card systems, and emerging climate-finance facilities.
The global robotics catalogue is built for broad-acre farms and is largely unaffordable for India's smallholders. We help clients design or select robotics solutions that match Indian field conditions — modular weeding kits, low-cost autonomous spraying, manageable mechanisation kits, and Robotics-as-a-Service models routed through Farmer Producer Organisations and rural entrepreneurs.
A scoping conversation to clarify the strategic question and decisions to be made.
A brief concept memorandum detailing the approach and scope within ten working days.
A formal agreement outlining milestones, deliverables, pricing, and models.
Execution with a defined steering rhythm and quality assurance gates.
Final review and, where permitted, publication of a learning brief or white paper.