Voice data for the
world's underserved
languages.
Most AI today speaks English fluently and a handful of major languages adequately. Billions of people speak everything else. We're building the voice data infrastructure to close that gap.
Most training data isn't built — it's scraped. That's how we got here, and it's why the gap exists. You can't scrape your way to languages, dialects, and registers that aren't online to begin with.
We take the opposite approach. Datasets sourced one speaker at a time, with consent, with compensation, and with the cultural context that scraped data can't carry. The work is slower. The data is better.
Currently piloting. More to share later this year.
If you're working on AI training data — sourcing, licensing, or researching what the next generation of models will need — we'd love to talk.
founder@bridgeon.ai