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Agriculture & AgriTech

Agriculture & AgriTech

Agentic AI platforms delivering real-time weather, soil, mandi prices and government scheme intelligence to millions of farmers.

Government of Maharashtra
IIIT Bangalore
OpenAgriNet
Agriculture & Governance AI

MahaVISTAAR AI

Government of Maharashtra · IIIT Bangalore · OpenAgriNet

MahaVISTAAR AI launch event with Chief Minister of Maharashtra
Kenpath team was invited to the launch of MahaVISTAAR AI by the Chief Minister of Maharashtra

Maharashtra is home to over 15 million farming households. For most of them, getting timely advice on weather, soil health, mandi prices or government schemes meant navigating disconnected, English-first portals — or not getting advice at all.

2.5M+Farmers reached across Maharashtra
20K+Daily farmer interactions

Millions of farmers, no single source of truth

Agricultural advisory was scattered across siloed government portals, none of which supported Marathi or regional dialects. Existing digital tools required smartphones and internet access — unreachable for the vast majority of farmers who rely on basic phone calls. The farmers closest to the frontline had the least access to the intelligence they needed most.

MahaVISTAAR AI app launch for farmers
MahaVISTAAR brings AI-powered agricultural advisory to farmers across Maharashtra

A phone call that understands agriculture

We built a voice-first agentic AI platform that a farmer can access by making a simple phone call — no app, no smartphone, no internet required. The system composes real-time responses from multiple trusted data sources, powered by open-source AI models fine-tuned on agricultural domain data including crop varieties, pest patterns and soil conditions. Built on Beckn Protocol and OpenAgriNet DPI, the platform serves queries in Marathi, regional dialects and tribal languages including Bhili.

The result

Maharashtra became the first state in India to formulate a dedicated Agri AI policy — powered by MahaVISTAAR's foundation.

For the first time, agricultural advisory reached farming communities in tribal languages including Bhili — communities that no prior digital platform had ever served.

Built withAgentic AILLM fine-tuningBeckn ProtocolOpenAgriNetVistaar ProtocolAdvanced voice AIPython
View MahaVISTAAR project
Ministry of Agriculture & Farmers' Welfare
DPI in Agriculture

Bharat-VISTAAR

Ministry of Agriculture & Farmers' Welfare, Govt. of India

Bharat-VISTAAR launch by Union Agriculture Minister in Jaipur
Muneender Jillella was invited by the Union Agriculture Ministry for the launch of Bharat-VISTAAR by the Union Agriculture Minister in Jaipur

India has 120 million farming households spread across extraordinary linguistic, geographic and agricultural diversity. No national digital infrastructure existed to deliver trusted, real-time crop intelligence to all of them.

1.2M+Farmer interactions within first month
3States onboarded in just 3 weeks

A country-scale gap in agricultural intelligence

Advisory for Indian farmers was fragmented across states, English-biased and inaccessible to the majority. Each state had its own systems, its own data silos, its own gaps. There was no common backbone — no way to deliver personalised, real-time guidance at the scale India's agriculture demands.

Bharat-VISTAAR announcement in national media
Bharat-VISTAAR was announced as India's national AI platform for farmers

India's national Agri DPI — built from scratch

We designed and built Bharat-VISTAAR as India's national agricultural digital public infrastructure — engineered from day one for population scale. A network-of-networks architecture allows diverse states and union territories to plug into a common national backbone while preserving local context, languages and farming practices. Foundational Agri AI models were trained on India's full agricultural diversity — crop varieties, soil zones, pest patterns and regional practices.

The result

The Ministry of Agriculture created India's first dedicated roadmap and budget for transforming agriculture using AI — a first in the country's policy history.

A robust, federated architecture now connects states and the centre — built as digital infrastructure the Ministry can scale for decades.

Built withAgentic AILLM fine-tuningAgri DPINational Agri StackVistaar ProtocolAdvanced voice AIPython
View Bharat-VISTAAR project
Amul
IIIT Bangalore
EkStep Foundation
Dairy AI for Cooperatives

Amul AI — Sarlaben

Amul (GCMMF) · IIIT Bangalore · EkStep Foundation

Amul AI Sarlaben launch by Gujarat CM Bhupendra Patel
Amul AI 'Sarlaben' launched by Gujarat Chief Minister Bhupendra Patel — from PM Modi's vision to a live app in 3 weeks

Amul — India's largest dairy cooperative — serves 3.6 million milk producers across 18,500 villages in Gujarat. Decades of cattle and procurement data sat unused, and no timely, personalised health guidance was reaching farmers. Generic apps failed farmers who spoke only Gujarati and local dialects.

3.6M+Farmers served across Gujarat
18,500Villages covered
3 WksIdea to live app

Decades of cooperative data, unused

Dairy farmers across Gujarat had no access to timely, personalised livestock advisory. Vaccination schedules, seasonal disease risks and treatment guidance never reached them proactively. Decades of cattle records and milk procurement data sat locked in cooperative systems. And existing digital tools required English literacy and smartphones — inaccessible for the vast majority of milk producers who rely on basic feature phones and speak only Gujarati.

Times of India coverage of Amul AI launch
Media coverage of the Amul AI launch — 'From cowshed to cloud'

An AI dairy assistant that speaks Gujarati

Kenpath partnered with IIIT Bangalore and collaborated with Amul (GCMMF) and the EkStep Foundation to build Amul AI 'Sarlaben' — an AI-powered dairy assistant. Built on decades of Amul's cooperative data, the platform delivers proactive livestock advisory including vaccination alerts, seasonal disease warnings and treatment guidance — personalised to each farmer's cattle records and milk history. The system works on smartphones and basic feature phones via voice in Gujarati, requiring no English or app literacy. The platform went from PM Modi's vision to a live app in just 3 weeks.

The result

Launched by Gujarat CM Bhupendra Patel and praised by Nandan Nilekani at India's AI Impact Summit 2026 as a model for AI at national scale.

3.6 million milk producers across 18,500 villages now receive proactive, personalised livestock advisory in Gujarati — guidance that sharpens as more cooperative data flows in.

Built withAgentic AIVoice AIDairy Domain ModelsCooperative Data IntegrationGujarati NLPFeature Phone SupportPython
View Amul AI project
Wadhwani Foundation
AgriTech · FPO Business Intelligence

Wadhwani FPO — AI for Farmer Producer Organisations

Wadhwani Foundation · 20+ years enabling farming communities

Wadhwani FPO app — AI assistant for Farmer Producer Organisations

India's Farmer Producer Organisations (FPOs) hold enormous potential to move farming communities from selling raw commodities to higher-value processed products. But most FPO leaders — CEOs, board members and accountants — lack the tools and knowledge to plan processing, packaging, branding and market access. The opportunity to reduce waste and increase farmer income remains untapped.

24/7Personal AI assistant for every FPO
20+Years of Wadhwani Foundation impact

FPOs stuck selling raw produce at low margins

FPOs across India sell raw pulses at commodity prices while the value addition — dal processing, flour milling, snack manufacturing, ready mixes — happens elsewhere. FPO leaders don't have access to practical guidance on which products to make, what mill to choose, how to package and brand, or where to find buyers. Preparing project reports for funding support is another barrier. The knowledge gap keeps farming communities locked into low-margin raw commodity sales.

An AI assistant that helps FPOs grow their business

We built an AI-powered mobile app for Wadhwani Foundation that gives every FPO a personal AI assistant available 24/7. The app guides FPO leaders step-by-step through the entire value chain — from selecting which pulses to process (Chana, Toor, Moong and more), to choosing products (dal, flour, snacks, ready mixes), selecting the right mill type and size, learning packaging and branding options, finding buyers across local, online, retail and export channels, and preparing project reports for funding. Every recommendation is tailored to the specific FPO's needs, with practical examples from real FPOs.

The result

FPO leaders now have a 24/7 AI assistant that provides step-by-step guidance to move from raw pulse sales to higher-value processed products — reducing waste and increasing farmer income.

Backed by Wadhwani Foundation's 20+ years of enabling farming communities — 100% nonprofit, no commercial motive. Practical, actionable guidance that helps FPOs make smarter decisions in dal processing and beyond.

Built withAI AssistantMobile AppLLMsAgricultural Value ChainFPO Business IntelligencePythonReact Native
View Wadhwani FPO project

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