Agritech
All industries
Industry practice

Agritech

Data on every acre. Insight to every farmer.

Satellite, drone and IoT signals fused with agronomic models — for FPOs, agri-input majors and food companies working across the value chain.

+18%
Yield uplift
-27%
Input cost
5M+
Acres analysed
/ Use cases

Where we've done the work.

Not a catalogue — a sample of the problems we actively engineer solutions for today.

Use case 01

Yield & NDVI Forecasting

Sentinel + Planet imagery combined with weather and soil layers produce plot-level yield forecasts weeks before harvest.

Use case 02

Pest & Disease Early-Warning

Vision models on smartphone images and canopy sensors detect blast, blight and bollworm outbreaks before they spread.

Use case 03

Advisory & Voice Bots

Vernacular voice agents deliver crop-stage advisories to farmers over IVR and WhatsApp — no smartphone literacy required.

Use case 04

Supply Chain Traceability

Farm-to-fork traceability with QR-linked batch data — critical for exports, ESG and residue compliance.

/ User stories

The people we build for.

Every engagement starts with a real person, a real problem, and a job to be done. Here are three from this practice.

Persona
Suresh, FPO Manager
Story 01

“As an FPO manager, I want to tell my 1,200 farmers exactly when to spray and how much fertiliser to use this week, so we cut input costs and boost realisation at mandi.”

Persona
Anjali, Agri-input Product Lead
Story 02

“As a product lead, I want to know where late-blight risk will spike next week across 4 states, so I can pre-position stock and brief the field team.”

Persona
Head of Sourcing, Food Brand
Story 03

“As sourcing head, I want proof that every tonne of grain I bought is residue-compliant and traceable to plot, so my export shipments never get rejected.”

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