Be the lab whose health AI is actually safe in Bantu.
One substrate, three reasons it matters to you. Evaluate it on your own infrastructure — data access only, no black box — then license it family-wide.
Anthropic
A verified, consented clinical lexicon your model won't hallucinate — the grounding that makes Bantu health assistance safe to ship, and the benchmark to prove it.
OpenAI
Family-wide breadth plus the code-switch audio your voice models need for real African clinical speech — aligned to the same concept IDs as the text.
Google · DeepMind
Concept→phrase→verb structure and a body-figure grounding surface for multilingual clinical models and Africa health programs.
Evaluate it right now, on your own.
Everything below is public. By step five you'll know whether this is worth a pilot.
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step 1Score your model
Run three prompts on your own model; we grade the answers server-side against the attested corpus.
Run the Clinical Test → -
step 2Click the body
The interactive figure — concept→part→phrase grounding, live in a Bemba preview.
Open the preview → -
step 3Hear one take work
One consented clinical take doing the job of six datasets, segmented at the stored switch point.
Hear it → -
step 4Hit the API
Tokenless MCP + REST: coverage, dataset card, consent manifest — machine-readable, no key.
OpenAPI · /mcp → -
step 5Start free evaluation
Evaluation is free and self-serve, and opens the FSI wedge; a Pilot opens every domain, sampled; Full Annual Subscription is the program.
Start free evaluation →
recognize Bantu + code-switch clinical speech
speak correct, concord-true health language
English ↔ family, grounded in real terms
concept→phrase→verb structure to compute with
a benchmark that exposes where a model is blind
See your own model fail it — then fix it.
Scoped, de-identified data access — no black box. A Pilot opens every domain, sampled, including this one; the Full Annual Subscription license is the entire program — Talk to us.