DeHaat (Green Agrevolution) is a full-stack agritech that tries to deliver 'seed to market' through one window to India's fragmented smallholders. In 2012, IIT and IIM graduates Shashank Kumar and Manish Kumar started with a pilot in Bihar, Odisha and eastern UP. India has over 100 million smallholders, but they struggle to access quality inputs, farming knowledge, markets or credit, the value chain is fragmented by layers of middlemen, and a farmer's annual net income is only about Rs70,000. DeHaat delivers inputs (seed, fertilizer, pesticide), AI farming advice for 30-plus crops in local languages, market linkage for produce, and credit—through over 11,000 'DeHaat Centers' run by micro-entrepreneurs and 503 farmer producer organizations (FPOs). It now spans over 18 million farmers across 12 states. Dutch development finance institution FMO has invested, Professor Ramesh Chand of the National Institute of Agricultural Economics and Policy (NIAP) verified yields rise up to 20%, and the company says farmer income rises 30–50% via 10–15% lower input costs and 15% higher sale prices.
●●○ medium
There is no confirmed −; independently verified + decide the position (B). No unreachable strike-through.= non-additive meter
DeHaat (Green Agrevolution): 'Seed to market' for smallholders through one window. The letter is B; certainty is medium. Unconfirmed concerns are placed under “Watching.” (As of 2026-Q3; estimate based on public information.)
Main narrative
One person’s story (N1)
+ A single story
Smallholders who, within a fragmented value chain, could not access quality seed, advice or fair markets, and were kept at an annual net income of about Rs70,000. Through DeHaat, input costs fall, local-language AI advice raises yields, and reducing middlemen improves sale prices. NIAP Professor Ramesh Chand verified that integrated support raises yields up to 20%. The benefit appears as the collective of over 18 million smallholders.
Source nature: P2 Independent (NIAP professor / reporting). Positive effects are not used to offset negatives.
Positive / negative effects
+ effects
- Founded in 2012, India's best-funded full-stack agritech (over $270M). It gives smallholders inputs, AI farming advice (30-plus crops, local languages), market linkage and credit through over 11,000 DeHaat Centers (micro-entrepreneur franchises) + 503 FPOs. 18 million farmers, 12 states. Input costs down 10–15%, yields up to +20%, sale prices +15%.P2 Independent (FMO / reporting)
− effects (confirmed)
- No confirmed −.
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- Expanding independent third-party verification of yield/income gains; profitability; collective bargaining via FPOs; responding to climate risk; responsible provision of credit/insurance.
A second look
The plus is fragmented smallholders' income, farming knowledge and market access (People), with relatively solid backing for commercial tech—a scale of 18 million farmers plus FMO (DFI) investment and an NIAP professor's independent verification of +20% yield. Caveats: it is a VC commercial business that raised over $270M and is prioritizing growth with a Rs207Cr loss even in FY25, the '30–50% income rise' range is mainly the company's own claim, there is a conflict of interest in a business that sells inputs (incentive to push inputs), and the net benefit of agritech (dependence, over-input) is debated.
Sources
How to read this assessment
- Reachable upper bound (ceiling): a confirmed − sets the ceiling, and independently verified + decide the position within it. + do not cancel out −.
- The weight of evidence is not symmetric: only confirmed − are counted; the volume of disputes or allegations goes under “Watching.” + are counted from independent evidence, while an organization’s own PR is treated as “reference.”
- Size is not value: scale is not used in the assessment. Matters that stay within money or competition—investors, shareholders, sanctions, trade secrets—are also excluded.
- The letter (assessment) and certainty (how reliable the information is) are separate axes.
This is a translation; the Japanese version is authoritative. The assessments here are generated automatically by AI based on published criteria. The operator does not alter individual results. Because they are AI-generated they may contain errors, and they are opinion and commentary, not statements of fact. Where evidence is insufficient, the entry is marked “On hold.” Requests for correction are accepted via the form.
Terms: Narrative Value = an assessment (A–G) of the distance between the story an organization tells and its reality / Ceiling meter = a visualization of the reachable upper bound / Watching = unconfirmed matters not counted / Protected stakeholders = people, animals, nature, and future generations. | Generated by: AI | As of: 2026-Q3 | Back to top