Resources
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Guide
Language Coverage & Low-Resource Capability reference
A reference on Cognegica's language coverage — a registry of 392 enumerated languages within a 400-language footprint, with depth in low-resource Indian and underrepresented languages, and how to scope coverage for a project.
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Whitepaper
Multilingual Data Provenance & Sovereignty reference
A reference on consent, residency and provenance for multilingual AI data — what data sovereignty requires for regulated and low-resource-language programs.
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Whitepaper
Multi-Layer QA Framework
Cognegica's multi-layer quality-assurance framework: native-linguist involvement, demographic diversity, data security, AI dataset compliance and structured SOP workflows.
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Guide
Audio Collection SOP — recruitment to validation
The standard operating procedure for Cognegica audio collection: speaker recruitment diversity, recording-environment standards, device diversity, speech content types, metadata and multi-stage validation.
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Guide
Transcription Guidelines — the seven core standards
A reference doc covering Cognegica's seven transcription standards: native-linguist transcribers, orthographic accuracy, timestamping, diarization, non-speech events, dialect handling and formatting.
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Guide
Buyer's guide — a procurement checklist for rights-cleared AI data
A practical checklist for evaluating training-data vendors on consent, provenance, quality and residency.
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Webinar
Webinar — Cultural safety for Indic LLMs
A 60-minute deep-dive on caste, communal and regional safety taxonomies for AI data, and how to operationalise them.
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Whitepaper
The State of Indic LLM Data 2026 (whitepaper)
A field report on data gaps, model failure modes, and what production-grade Indic and low-resource language data looks like.
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