A government language-technology programme (illustrative) · Government & Public Sector · Audio, Text
Sovereign government language program
An India-resident, vernacular-first collection and annotation program for citizen-service AI — sovereign, consented and auditable end to end.
By Cognegica Linguistics Team · Linguistics & low-resource language research
India-resident · consented · auditable
Languages: Multiple official Indian languages
Illustrative scenario. This case study describes a representative methodology rather than a specific client engagement.
Challenge
A public-sector language-technology programme needed vernacular speech and text data for citizen-service and grievance-redressal AI across multiple official languages — while keeping all citizen data sovereign and fully auditable. Offshore annotation was a non-starter.
Approach
We delivered the whole pipeline in-country:
- India-resident field collection and annotation workforce — no cross-border transfer of citizen data.
- Informed consent in the respondent's language with DPDP-aligned de-identification and documented chain of custody.
- Vernacular-first coverage across multiple official languages, with provenance tagged per record for public accountability.
Outcome
A sovereign, India-resident data program with documented consent and auditable provenance the programme could put in front of a regulator — vernacular-first coverage that extends citizen services to speakers earlier systems left behind.
Representative engagement illustrating our sovereign-delivery methodology.
How this maps to what we do
The services and data behind this engagement
This outcome was delivered with the same rights-cleared, documented services and datasets you can engage today.
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Sovereign Data
India-resident collection, processing and storage with documented consent.
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Government & Public Sector
Vernacular-first, sovereign data for public AI.
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Written by
Cognegica Linguistics Team
Linguistics & low-resource language research
The Cognegica Linguistics Team works across the language registry on low-resource and Indic languages, dialect and accent capture, and cultural and cross-lingual evaluation. This is an editable team identity — a named linguist with a public profile can be assigned to it later in the admin.