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.
This whitepaper maps the state of training data for India's languages in 2026: where the gaps are, how they show up as model failures, and what rights-cleared, production-grade data actually looks like. It draws on our work building proprietary multilingual datasets across 400 languages.
Inside: the low-resource data gap quantified, common failure modes in deployed Indic models, a procurement checklist for provenance and consent, and how to scope a custom collection.
About this report
What's in the whitepaper
- Is the whitepaper gated?
Yes — submit your email and we'll send the download link. No marketing follow-up unless you opt in.
- Who is it for?
AI labs, enterprise ML teams and procurement leads evaluating Indic and low-resource language data.