AgriskData Analytics
When India needs to know what's really happening on the ground,
it asks Agrisk.
To empower businesses with actionable intelligence by converting scattered data into meaningful insights and early-warning signals, enabling informed, timely and strategic decisions.
One capability core, pointed at whatever question a vertical needs answered.
Large field & respondent networks, satellite & IoT/weather-station feeds and curated sources, from crop fields to 45,000+ respondents in a single study.
Our own models do the work: machine learning, satellite fusion, statistical sampling and the FuzzyJay sentiment/intent engine, built and owned by Agrisk.
Forecasts, early-warning signals, sentiment reads, dashboards and advisories: accurate, consistent, and fast enough to act on.
The same data-and-AI engine, applied to very different worlds.
Asia's first independent agricultural information system, sowing intention to final production.
Understanding rural India's consumers, channels and value chains, first-hand, at scale.
End-to-end feedstock intelligence for the energy transition (CBG, ethanol, biomass & clean energy) delivered across 79+ districts and multiple states.
Transforming large-scale field data into strategic insights for electoral, governance and public-engagement decisions.
Forecasting-driven commodity intelligence, with a published, back-tested track record.
Continuous agricultural market intelligence, delivered on your calendar, not one report a season.
Data infrastructure & field evidence for public programmes.
AI-enabled weather validation, crop-stress and yield prediction, e.g. a statewide AWS climate-resilience pilot.
We own the data, the science and the models end to end, in any vertical.
We collect ground truth ourselves: tens of thousands of data points in one push.
Proprietary ML & statistical models, built and owned by Agrisk.
Field + satellite + sensors + ML, fused for accuracy others can't reach.
Continuous measurement, not one reading a season.
Unbiased third-party data, no stake in the outcome.
Population-scale primary research, field or opinion, using mobile survey tools with GPS tagging and real-time monitoring for accuracy and transparency.
Granular data across rural and urban markets (from villages and tehsils to towns, cities and wards) for truly localized insights.
NDVI signatures, land-use classification and change detection, fused with ground and sensor data.
Forecasting, anomaly detection, classification and sentiment/intent modelling with bespoke pipelines.
Yield, price, demand and risk forecasts: 30/45/60-day horizons.
Stratified multistage design, CCE yield estimation, multi-level data verification and statistically defensible inference.
Synthesizing diverse secondary sources into strategic insights for informed decision-making.
Decision-support dashboards and multi-language advisories to officers, businesses and farmers.
Demand estimation, opportunity mapping and program / campaign-effectiveness evaluation, bespoke and large-sample.
The engine, applied across verticals.
Near-real-time, plot-level crop production estimation, a "gold standard" continuous-panel framework for the Ministry of Agriculture (Tur, Maize, Cotton).
5-district Assam field survey quantifying paddy straw, bamboo, tea, MSW & dung feedstock surplus for a CBG program (client confidential) (2024).
Live mandi-level price forecasts for five pulses (Tur, Chana, Urad, Moong, Lentil) with weekly predicted-vs-actual validation and port-stock estimation, for Tata Consumer (2025-26).
RFP-won maize survey for the US Grains Council: area, yield & production (2024).
District-level soybean crop maps & year-on-year change detection across MP, MH & Rajasthan (2025).
Digital Farmer ID & decision-support design for state government programmes (2024).
11-state study estimating India's chicken-meat demand & 5-year growth trajectory for the US Soybean Export Council (2022).
A multi-phase electoral program across a major metro: 45,000+ respondents mapping ward-level issues, candidate appeal, alliance perception and on-ground momentum, with swing-ward ID and demographic models to guide strategy. (client confidential)
AI-driven weather-crop-market intelligence DPR for a state government: AWS fusion, yield & PMFBY trigger AI (2025).
Real Agrisk deliverables: actual report pages, client names removed.
From global FMCG and commodity majors to ministries and multilaterals.
…and 100+ more across food, agri-inputs, banking, exchanges, government and energy.
Agrisk Data Analytics began operations in January 2017 as a DIPP-recognised startup, on a simple conviction: decision-makers need an independent data entity that can measure reality at scale and has the scientific and AI muscle to draw accurate inferences from it. We proved it first in agriculture (as Hummingbird, Asia's first independent agri-information system) and today apply the same engine across climate, public opinion, government and markets. Founded by Ravishankar Mantha, Sankara Pillai and Umesh Ikhe, and backed by early believers including Mr. S. Ramadorai, Mr. Ranjith Barthakur and CIIE, Ahmedabad.
