Palaver Labs
Palaver Labs.
Research, data operations, community partnerships and long-term model development. The slow, careful work everything else depends on.
Getting started Concept stage. Details may change as we build.
What it is
The work beneath the work.
You can't build a language layer for languages that have never been recorded. Palaver Labs is where that recording, research and partnership work happens.
Labs recruits bilingual speakers, sets up recording protocols and data pipelines, and builds the evaluation harness that tells us whether models are actually getting better. Field work is done with local teams and trusted partners, and recording protocols are designed with them so the work isn't extractive.
The long tail of languages is a slow, high-touch problem. Labs exists to do it properly.
Get involved
Speak a language Palaver should learn?
We'd like to hear from speakers, linguists and community organizations. Tell us which languages you work with.
Who it's for
Built for the people who must be reached.
- Bilingual speakersPeople who speak a local language and English or French, and can help teach it to a machine.
- Community partnersLocal organizations and leaders who shape how recording is done.
- Linguists and researchersWork on documentation, evaluation and model development for the long tail.
- InstitutionsPartners whose programs show where language coverage matters most.
What's coming
The road ahead.
Where we're headed. These are plans, not shipped features.
- First
Cameroon
Recording across Bantu, Chadic, Adamawa and Grassfields language families within one country, starting with 50 languages and their dialects.
- Next
Hundreds of languages
Scaling recording and evaluation from dozens of languages to hundreds.
- Then
500+ languages
Documentation and data at the scale the platform needs.
- Always
Long-term models
Research into what comes after: lower-latency models, devices and new ways to compute.
Also in the Palaver family
Explore the other products
Palaver Voice
Real-time and on-demand speech translation, transcription and generation for institutions and, later, consumers.
Explore In developmentPalaver AI
Core models and APIs for language understanding, generation and agentic tasks across African languages.
Explore On the horizonWhat's next
Once the language layer exists, new products become applications of it: healthcare delivery, government communication, voice-first financial services and ambient devices.
Explore