Koine
The safe pipe between the data an institution already holds and an AI model, so regulated bodies can finally mine their own databases with AI without risking a leak or an unauthorised change.
What we shipped
Regulated organisations want to point AI at the databases they already run on, for instant insight, but wiring a model straight to live data is dangerous: unmonitored changes, personal-data leaks, and edits no one can trace or undo.
We built Koine, a governance layer that sits between the existing database, the AI and the people using it. The AI can only read and propose: a human must approve every change before it happens, and every personal detail is removed automatically across chats, reports and exports. Nothing happens that isn't logged, attributed and reversible.
Koine grew out of Stratum and VIAS, the governed intelligence our founder built for Nigeria's National Population Commission. It takes the same rules and makes them work for any institution: the AI can read and propose, a human approves every change, personal data is stripped automatically, and nothing happens that isn't logged, attributed and reversible.
More work
Agrovisus
Stratum & VIAS
CBAS Nigeria
Let's scope it.
Tell us the decision and the data behind it. We'll show you what it would take to make it on evidence, and scope a realistic engagement.
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