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Public Sector
(c) MMXXVI
EM

Sector

Population-scale AI on top of population-scale digital public infrastructure — for the citizen, the regulator, and the auditor.

Use Cases

India Stack to Citizen

India is the only country building population-scale AI on top of population-scale digital public infrastructure. The firms that ship inside that stack will define the decade.

Where we work

Central and state government departments, state-level digital governance bodies, public-sector undertakings, regulatory authorities, and quasi-government platforms that sit on top of India Stack (Aadhaar, UPI, DigiLocker, ABDM, Bhashini, ONDC). Programme-mode work, not vendor-tender churn.

Where AI changes the economics

  • Citizen services in 22 languages. Bhashini-grounded multilingual chat and voice for scheme discovery, eligibility checks, grievance filing, and status tracking.
  • Document digitisation at scale. Decades of paper records, certificates, court filings, and land records — converted, classified, and retrieval-ready under GIGW-grade access control.
  • Fraud and leakage detection. Pattern detection in PDS, DBT, MGNREGA, and GST flows that flags anomalies for human investigators with full evidentiary trail.
  • Regulator and policy-analyst copilots. Internal knowledge surfaces over circulars, judgements, parliamentary questions, and committee reports. Faster briefs, better citations.
  • Field-officer support. Tablet-grade copilots for ANMs, ASHA workers, agricultural extension officers, and revenue officers — operating inside intermittent-connectivity and shared-device realities.

How public-sector AI has to be built

Audit-traceable from prompt to decision. Data-resident inside the relevant ministry’s perimeter. Empanelled, STQC-tested, and accessible under GIGW. CAG-auditable when the AI influences a benefit determination. And designed for failure modes — the model must degrade gracefully when the citizen sitting in front of a CSC operator cannot wait for an LLM that is rate-limited today.

What we will not do

Train on citizen data without DPDPA-clean consent and explicit purpose specification. Influence benefit determination without auditable human-in-loop. Lock a programme into a vendor stack that the next government cannot inspect or replace.

What you get

Sovereign-grade AI deployed inside ministry, state, or PSU infrastructure. Built to GIGW and STQC standards, audit-traceable by design, and aligned with the IndiaAI Mission programme architecture. The citizen interaction improves; the audit trail proves it.

Regulatory

Relevant Services

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