T7 builds AI systems for agri-input companies, FPOs and food-supply platforms — from satellite-based yield prediction to WhatsApp advisors farmers actually use.
Agriculture is the biggest AI opportunity nobody has cracked at scale. T7 Solution ships AI systems designed for the realities of Indian and emerging-market agri — spotty connectivity, vernacular users, and smartphone photos taken in the field.
We build satellite + weather + soil models for yield and risk, image models for pest detection, and voice agents that speak the farmer's language.
Deployments respect data residency and cost realities — inference runs cheap enough to reach every farmer, not just the top decile.
Farmers won't install apps. Advisory needs to work over voice, WhatsApp and SMS.
Most AI stacks handle English; farmers need Hindi, Marathi, Telugu, Punjabi, Kannada, and code-mixed variants.
Field photos vary wildly in lighting, angle and quality — most vision models break.
Per-farmer LTV is low; AI has to be cheap enough to serve everyone, not just enterprise clients.
Satellite + weather + soil ML models for crop-level yield forecasts.
Image models on smartphone photos to identify pest and disease outbreaks early.
IVR + WhatsApp advisors in vernacular languages for advisory, procurement and payments.
Demand + procurement + logistics models for agri-commodities.
Custom vision models for quality control, retail analytics, medical imaging and more.
Explore serviceHuman-sounding AI voice agents for inbound and outbound calls at scale.
Explore serviceProduction ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
Explore serviceExplore how T7 Solution delivers agritech AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Hindi, Marathi, Gujarati, Punjabi, Bengali, Telugu, Tamil, Kannada and code-mixed variants. Voice quality is tuned for low-bandwidth telecom.
For the top 20 crop-pest pairs, top-1 accuracy is 85–92% on real field photos. Low-confidence cases route to human agronomists.
Yes — image models can run on-device for offline detection; results sync when connectivity returns.
Platform + per-active-farmer pricing that we scope to your unit economics. We won't ship a model that's too expensive to reach your users.
Use cases, insights and comparisons chosen for agritech teams evaluating AI.
S&OP-grade forecasting, replenishment and scenario planning.
Sub-second defect detection on the line — with a governance trail.
Qualify, score and book inbound leads in under 5 minutes, 24/7.
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