The voice infrastructure that lets AI and machines speak to 4 billion people.
These 4 billion people speak, as their first language, a language AI serves poorly or not at all. Labari produces the missing raw material: proprietary voice corpora, annotated, legally usable, delivered via secure export or API.
A data problem, not a technology problem.
Models learn from what is written and published online. The web over-represents a handful of languages.
So AI excels in those few languages, and stays nearly mute in thousands of others.
Nearly half of humanity speaks, as a first language, a language poorly served or not served by AI.
This data cannot be scraped: it does not yet exist in usable form. It has to be produced.
A global market. Needs across major linguistic blocs.
Nearly half of humanity lives in regions where most languages are low-resource:
- South Asia 2.04B
- Sub-Saharan Africa 1.26B
- Southeast Asia ~690M
- Middle East & North Africa ~500M
- Other low-resource regions(Central Asia, Andes, Pacific) ~150M
An asset nobody else produces.
We don't collect what already exists, we create what is missing. Every corpus is original and exclusive.
GDPR consent and commercial AI license traced per speaker: legally usable data, with no gray area.
Gold standard multi-annotator process, published WER and CER: verifiable reliability, not a promise.
Producing these corpora requires local presence: a barrier to entry built in the field, not at a keyboard.
Already built, self-funded.
Labari is not starting from an idea: the production infrastructure is running.
Audio production in our local studios, with legal entities on the ground.
A network of speakers, narrators and linguists already under contract.
A pilot dataset published on Hugging Face: our quality can be verified by any data team.
Labari.io, our free listening app, supports our credibility with the communities.
The full dossier, on request.
Deck, market size, production method, roadmap and trajectory: we share the dossier on request.
Request the deck