eventParity gives every AI system a record of the data that trained it, the lawful basis it runs on, and the named person who approved it. Prove your AI is governed, on your own terms, to your own regulator.
All 18 NITDA AI Code requirements plus the five model-governance checks (M1 to M5) are seeded and scoring today, alongside the EU AI Act for teams that sell into both markets. M2 ties each model to its NDPA 2023 Section 25 lawful basis, with a named human sign-off recorded against it.
Point eventParity at the Nigerian model you already trust: NaijaGPT, Awarri, CDIAL AI, the University of Jos AI Centre of Excellence, or your own model running on infrastructure you control. The data and the model both stay inside your borders.
Every attestation is tamper-evident. Once a requirement is signed off, that record cannot be quietly rewritten, which answers the NITDA non-repudiation and auditable-logging requirements directly. The Evidence Pack export turns the whole register into a document the regulator can read.
Point eventParity at the model you already trust. It works with any OpenAI-compatible endpoint, including models served inside your own jurisdiction.
The Evidence Pack export turns your live governance record into a document a regulator can read, with every model, dataset, approver and attestation in one place.
A 30-minute readiness review costs nothing. We will tell you plainly where you stand.
Built by Africans, for the institutions that serve the continent.