Low-Resource Language Bootstrapper
Gets a product to usable quality in a language with almost no digital corpus, in weeks not years.
years to ~10 wks
Time to usable quality
~2k per language
Human-seeded items needed
100% of launches
Speech-first coverage
The problem
Hundreds of millions of people speak languages with too little clean digital text to train or even fine-tune against. The usual answer is to wait for data that never arrives, which quietly writes those markets out of the roadmap.
The frontier has moved: with strong base models, the bottleneck is no longer raw corpus size but targeted, high-quality supervision. That is a product and operations problem, which is exactly where a PM adds more value than another training run.
Agent design
- A seed agent elicits a small, high-quality parallel set from native speakers using guided prompts rather than free translation tasks.
- A synthesis agent expands the seed into task-shaped data, with every synthetic item traceable to the human seed it came from.
- A speech pathway handles the reality that many of these languages are spoken far more than written, so voice input is the primary surface.
- A community feedback loop lets real users flag wrong output in one tap, and those flags become the next round of supervision.
Guardrails
- Synthetic data never exceeds a fixed ratio to human-verified data, and the ratio is a published release criterion.
- Dialect and register are labelled explicitly; a model trained on one dialect is not silently shipped to speakers of another.
- Contributors are credited and compensated, and the community can see what their data was used for.
Start with the speaking, not the writing
For a large share of these languages, insisting on a keyboard is the actual barrier. Designing voice-first changes the data you need, the evaluation you run and the market you reach.
The ethics are the product
Communities have been scraped before and have long memories. Consent, credit and a visible use log are not a compliance annex; they are the reason the second round of data collection is even possible.