Labari
Investors

The localization infrastructure enabling AI and machines to reach 4+ billion people.

Today's AI and machines serve these people poorly. We own the speech data supply chain they lack, and turn it into one proprietary language engine, consumed through data, cloud and embedded.

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The problem

A localization problem, not only a data problem.

Products and AI models are built for the handful of languages over-represented online.

Language, voice, accents, dialects, code-switching and local usage are localized poorly, or not at all.

More than half of humanity lives in regions today's technology serves poorly.

The data needed to fix this cannot be scraped: it has to be produced on the ground, with rights secured.

The problem size

4+ billion people, across major linguistic blocs.

More than 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
The foundation

One proprietary asset: the language engine.

Proprietary data trains proprietary models, which power a single language engine. Every product we sell runs on it.

  1. Proprietary data
  2. Proprietary models
  3. Language engine
We control the production of that data, end to end
  1. 01Studios
  2. 02Speaker recruitment
  3. 03Controlled recording
  4. 04Annotation
  5. 05QA
  6. 06Rights management
  7. 07Proprietary catalog

More than data: the industrial infrastructure that continuously produces high-quality, legally usable language data that is hard to reproduce.

Three modes

One foundation, three ways to consume it.

Three distribution modes of the same engine, growing at their own pace. Not three successive companies.

Data
AI labs, big tech, enterprises

Catalog subscriptions and custom orders. A custom corpus can get a 6-month exclusivity window, then joins the catalog: customers fund the expansion of the asset.

Cloud, models & APIs
Enterprises using our language intelligence directly

ASR, TTS, translation, dubbing, subtitling, content localization, voice agents and customer support, for media, streaming, telcos and fintech.

Embedded
Device makers

Our models and runtime integrated into smartphones, vehicles, payment terminals and home appliances.

Flywheel

Every customer makes the engine better.

Each custom order funds new proprietary data. That data improves our models and products, which bring more customers, more languages and more data.

  1. 01Customer-funded custom data
  2. 02More proprietary datasets
  3. 03Better language models
  4. 04Better APIs & localization
  5. 05More enterprise customers
  6. 06More embedded opportunities
  7. 07More languages, more data
The ambition

The language layer every global company needs to reach these markets.

We do not need to build the smartphone, the streaming service, the vehicle or the LLM. We aim to own the linguistic and voice layer they all go through.

Traction

Already built, self-funded.

Labari is not starting from an idea: the production infrastructure is running.

Operational studios

Audio production in our local studios, with legal entities on the ground.

Production network

A network of speakers, narrators and linguists already under contract.

Public proof

A pilot dataset published on Hugging Face: our quality can be verified by any data team.

Legitimacy

Labari.io, our free listening app, supports our credibility with the communities.

The full dossier, on request.

Business model, market size, production method, roadmap and trajectory: we share the dossier on request.

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