Deepflow Technologies, a Kannur-based agritech startup founded in 2019, is bridging critical information gaps for Indian farmers by delivering hyperlocal, real-time data on weather, soil and crop conditions. Its integrated platform combines field sensors, portable soil testing and a mobile advisory app to help growers optimise irrigation, nutrient use and pest management.
From engineering roots to farm-focused intelligence
Established by alumni of the Government College of Engineering, Kannur, Deepflow began as a robotics and automation initiative intended to reduce labour intensity on farms. Early, sustained engagement with farmers and cooperatives revealed that the most pressing constraint was not machinery but timely, location-specific information.
Responding to this insight, the company pivoted to develop an agritech intelligence platform that integrates hardware, data analytics and simple digital advisories. The objective: provide actionable, farm-level recommendations that reduce uncertainty in decisions about irrigation, fertiliser application and crop protection.
Technology tailored to Indian farming realities
Deepflow’s solutions are designed for the smallholdings and climatic variability typical of Indian agriculture. Central to its offering are solar-powered weather stations that capture field-level rainfall, temperature, humidity and wind—delivering local forecasts and alerts rather than district-averaged estimates.
Complementing weather monitoring, the startup supplies portable soil assessment tools that measure moisture, nutrient status and pH, enabling more accurate crop- and irrigation-specific guidance. These inputs are synthesised into personalised advisories and delivered through a mobile application built for ease of use by smallholder farmers.
Field validation and community collaboration
Rather than scaling immediately with a technology-first approach, Deepflow invested more than two years in on-field research, testing and iteration. The founding team worked closely with farmers, agricultural experts and farmer-producer organisations to refine sensors, advisory logic and user interfaces.
This ground-up methodology helped build credibility and ensured the platform addressed practical constraints. The company has also partnered with financial institutions and cooperatives to support deployment, extending benefits to thousands of farmers across multiple regions.
Scaling sustainable intelligence for plantations and farms
Deepflow is expanding beyond Kerala, collaborating with state agencies, plantation owners and institutional partners across India. The startup is developing automation and monitoring solutions for plantation crops such as tea, coffee and rubber, where labour shortages and climatic stress pose persistent challenges.
As climate variability and resource pressures intensify, hyperlocal, data-driven advisories can improve resilience and productivity. By combining sensor networks, soil diagnostics and farmer-centric delivery, Deepflow aims to help Indian growers make more confident, efficient and sustainable decisions on the farm.
