Insights
Insights
Field notes on building the data layer for the world's languages — low-resource Indic data, rights-cleared sourcing, sovereign delivery, and Physical AI data as a service.
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Device and accent diversity for speech models that generalise
A model trained on one phone and one accent will fail on every other. Why device and accent diversity belong in your sampling matrix from day one — and how we build them in.
by Cognegica Data Operations
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Collecting low-resource dialects at scale
You can't scrape a dialect that was never written down. How we collect low-resource Indian dialects at scale with native speakers, a sampling matrix and metadata on every record.
by Cognegica Linguistics Team
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Why low-resource Indic data is the next moat in AI
The models are commoditising. The data for the languages most of the world speaks is not. Here's why low-resource Indic data is becoming the real competitive advantage.
by Cognegica Linguistics Team