Public-sector AI that serves every citizen, in every Indian language — and stays in India.
Sovereign, India-resident vernacular data for citizen services, grievance redressal and public AI — aligned with Bhashini and IndiaAI.
Government AI has to work in 22 official languages and keep citizen data sovereign. We are the India-resident data partner for citizen-service bots, grievance redressal, document digitization and public AI — vernacular-first, consented and aligned with Bhashini and IndiaAI.
What teams in Government & Public Sector are up against
Public-sector AI faces a unique combination of scale, language and sovereignty:
- Every language is in scope. Citizen services must work across 22 official languages and countless dialects — not just English and Hindi.
- Data must stay sovereign. Citizen data residency and control are non-negotiable for government programs.
- Inclusion is the mandate. Voice-first, low-literacy access for the last citizen demands robust vernacular speech and intent data.
- Trust and accountability are scrutinised. Provenance, consent and auditability are prerequisites, not nice-to-haves.
Compliance & residency
Government data carries the strongest sovereignty and accountability posture:
- India data residency — collection, annotation and storage performed in-country.
- DPDP Act, 2023 — consent and de-identification for citizen personal data.
- Ecosystem alignment — interoperable with Bhashini and IndiaAI language-tech goals.
- Auditable provenance — documented chain of custody for public accountability.
How we solve it
Sovereign, vernacular-first data for public AI
India-resident collection and annotation across every official language — built for citizen inclusion and public accountability.
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Vernacular citizen-service collection
Consented speech and text across 22 official languages for citizen bots, grievance redressal and public services — collected in India.
Multilingual data collection -
Document digitization & annotation
Entity, intent and structure labeling on government documents and forms across languages, with two-pass QA.
Data annotation -
Public-service evaluation
Evaluation sets that test language coverage, accuracy and appropriateness of citizen-facing responses.
Cultural & cross-lingual evaluation -
Safety & abuse review
Content safety and abuse review for public-facing AI, tuned to local harms and sensitivities.
Content moderation & safety
Proof
Why teams trust us with this vertical
- resident collection, annotation & storage
- India
- official languages in scope
- 22
- documented, auditable provenance
- Consent
resident collection, annotation & storage
official languages in scope
documented, auditable provenance
Go deeper
Datasets and services for this vertical
Jump straight into the catalog filtered for this domain, or scope a custom program.
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Browse the dataset catalog
See rights-cleared, documented datasets filtered to this vertical — or commission a custom set.
View datasets -
Explore our services
End-to-end collection, annotation, RLHF/DPO, evaluation and safety — applied to your use case.
All services -
Keep it sovereign
India-resident collection, annotation and storage for regulated and government-grade programs.
Sovereign Data
FAQ
Government & Public Sector — common questions
- Can all data stay in India?
Yes. We offer fully India-resident collection, annotation and storage for sovereign government programs. See Sovereign Data.
- Do you cover all official languages?
Yes — across 22 official languages and many dialects, vernacular-first. Explore government datasets or commission collection.
- Are you aligned with Bhashini and IndiaAI?
Our vernacular-first, sovereign approach is built to interoperate with national language-tech goals like Bhashini and IndiaAI.
Build an AI data program for Government & Public Sector.
Tell us your languages, modalities and use case — we'll scope a rights-cleared, documented data program and a delivery schedule.
Where our data services apply
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Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the service -
Data Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the service -
Content Moderation & Safety
PII filtering, harmful-content taxonomies and culturally-aware safety pipelines — calibrated for Indian context.
Explore the service -
Cultural & Cross-Lingual Evaluation
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Explore the service