Sporos is an independent, boots-on-the-ground startup. We started with a simple observation: rural farming families do not run disconnected corporate silos for their soil, their crops, their cattle, and their local mandi sales. Yet modern software has continually forced them into bloated, English-only apps designed for air-conditioned offices.
We are a tight-knit team of 26 agronomists, software engineers, veterinary researchers, and field specialists. Every instrument we craft is tested directly in the mud and sunlight with our initial farmer cohorts — engineered to run with one thumb on ₹6,000 Android phones, offline queued over patchy 2G networks, and stating confidence honestly without synthetic certainty.
A farmer’s land boundary, yield history, and dairy ledger are their personal livelihood asset. We never sell farm-level data to commodity speculators or agro-chemical marketers. Credit and insurance packets are shared only when the farmer explicitly approves via SMS passkey.
Agriculture deals with living soil and shifting monsoons. Whether we are diagnosing leaf blight (e.g., 94.2% match) or projecting wheat harvest (18.6–20.2 quintals/acre), we always display the confidence interval and underlying inputs plainly.
As an independent startup, we do not take commissions or kickbacks from pesticide or feed manufacturers. Every disease diagnosis lists cultural and biological remedies first, and university-verified generic active-ingredient dosages second.
Every advisory and alert feature works in 12 Indian languages across spoken voice calls, compressed WhatsApp threads, and plain 2G SMS — so literacy or bandwidth never locks a family out.
Sporos was founded by rural agronomists, dairy researchers, and systems engineers who set out to build tools that genuinely work for everyday farmers.
Our co-founders spent months working directly with smallholder tomato, onion, and wheat farmers in Maharashtra and Gujarat, observing why complex desktop-oriented apps failed on real farm boundaries.
We brought together 26 passionate specialists — crop agronomists, veterinary scientists, machine learning engineers, and regional field coordinators — to build our offline-first camera and voice diagnostics.
Tested our sub-50 KB photo compression, 12-language voice AI, and cattle ration balancing models in pilot farmer clusters, iterating weekly based on real soil feedback.
Unifying crop disease detection, cattle health monitoring, mandi price tracking, voice advisory, and satellite stress alerts into one honest, accessible system for working farmers.
Agronomists, veterinarians, computer vision researchers, and field operations engineers working as one agile startup.
Hands-on deployments and continuous feedback loops across horticulture, cash crop, and dairy pilot groups.
Zero fake metrics or inflated claims — every feature is validated against actual harvests and soil samples.
Fused public satellite telemetry and local weather data optimized to run on affordable farmer smartphones.
We are fully bootstrapped and founder-driven. We build technology that respects farmers' intelligence, works offline on basic handsets, and remains free from external venture pressure.
We are preparing for public launch across Maharashtra, Punjab, Haryana, Tamil Nadu, and Andhra Pradesh. Direct field registration and farmer onboarding will be available shortly.
