Farmers had questions. The information existed but was inaccessible.

Introduction

A smallholder farmer in rural India wants to know whether it's safe to spray his crop this week, or whether a government subsidy applies to his land. The information exists — in agricultural databases, weather feeds, government portals. But getting to it requires a smartphone, an app, internet access, and the ability to read and navigate. Most farmers have none of these. The access layer was broken.

We rebuilt it as a voice AI solution usable in the farmer's native language.

The Problem

Existing advisory services required farmers to download apps, create accounts, and navigate digital interfaces — all in a language and format designed for urban, literate users. For smallholder farmers on feature phones with low digital literacy, the flow broke at the first step. Government schemes went unclaimed. Weather warnings didn't reach the people who needed them. Crop advisory existed only for those who could already access it.

The Solution

• ✓Voice-first AI assistant in 12 regional languages, designed for feature phones — no reading, no app, no navigation required
• ✓Personalised advisory engine combining farmer profile data (location, crop type, land size) with real-time weather and soil insights
• ✓Integrated access to government databases — farmers can navigate subsidies, insurance, and support schemes entirely through voice
• ✓Continuous learning loop where farmer queries and feedback improve the system's accuracy over time

Key Outcomes

• ✓35% improvement in preparedness for adverse weather events, reducing crop-related losses
• ✓27% faster adoption of government schemes including subsidies and crop insurance
• ✓72% first-contact resolution — across 12 languages, on feature phones, with no typing required