Model Registry
Every AI model your organisation runs has a named owner, a named approver, a record of what it was trained on, and the lawful basis it operates under. Nothing is deployed without that record in place.
Platform · Live
One record behind every AI decision your organisation makes. Regulator-ready before anyone asks.
eventParity sits beneath your AI products and keeps the record that a regulator, an auditor, or a minister will eventually ask for. Every dataset, every model, every sign-off. One auditable trail your team does not have to reconstruct under pressure.
Named approver on every model
Provenance on every dataset
Seven frameworks, one record
The problem
AI is making decisions at a speed that outpaces the records behind them. When a regulator asks how a model was trained, who approved it, and what lawful basis it runs on, most organisations cannot answer without weeks of preparation. eventParity makes the answer one document, ready the day you need it.
One platform. Every control.
Each capability below is live today, working on your real data and your real models. No integration project needed to start.
Evidence Pack
A regulator-ready dossier, produced on demand, mapped requirement by requirement to whichever frameworks apply to your sector. One document. Every question the auditor might ask, already answered.
Tamper-evident Attestation Ledger
Every sign-off is permanent. Nothing can be quietly revised after the fact. The full history of who said what, and when, is always visible and cannot be overwritten.
Maturity Assessment
Six dimensions of data governance scored and benchmarked, with a one-page brief your leadership team can read. Shows where you stand and where effort will have the most visible impact.
Lineage
Every connection between a data source and a model is tracked. When a source changes, the effect on every downstream model is visible immediately, before a problem becomes an incident.
Bring-your-own-key AI
The AI assistance inside eventParity never requires your data to leave your perimeter. You supply the key. You choose the model. Your records stay on infrastructure you control.
Seven frameworks. One record.
You do not need a separate compliance tool for each regulator. eventParity maps your record to all seven frameworks simultaneously, so a single piece of evidence answers multiple authorities.
European Union
EU AI Act
Data governance, technical documentation, transparency, human oversight, and accuracy requirements for high-risk AI systems.
European Union
GDPR
Lawful basis, data subject rights, controller accountability, impact assessments, and cross-border transfer conditions.
Nigeria
NITDA AI Code of Practice
Model governance requirements covering training-data provenance, lawful basis, named human sign-off, model cards, and change control.
Nigeria
Nigeria Data Protection Act (NDPA) 2023
Lawful basis for AI model training, data subject rights, and accountability obligations for data controllers and processors.
Nigeria
NDPR 2019
Purpose limitation, data minimisation, accuracy, storage limits, and security of personal data under Nigeria's founding regulation.
South Africa
POPIA
Eight conditions for lawful processing, special and children's data protections, and cross-border transfer provisions.
Kenya
Kenya Data Protection Act 2019
Registration requirements, data protection principles, data subject rights, breach notification, and cross-border transfer rules.
Built for organisations that cannot afford to get this wrong.
eventParity serves institutions wherever AI governance is not optional. If you are building, procuring, or regulating AI, this is your platform.
Governments and ministries
Agencies procuring or deploying AI need to demonstrate lawful authority, data protection compliance, and accountable human oversight. eventParity gives you that record without requiring a specialist team to assemble it.
- Compliance documentation for the AI rules you answer to
- Lawful basis tracking for model training
- Named ministerial sign-off on every model
- Regulator-ready Evidence Pack on demand
Universities and research institutions
Research institutions developing AI models need provenance on training data, ethics-committee sign-off in the record, and a clear lineage between source datasets and published outputs.
- Training-data provenance and consent tracking
- Ethics and IRB sign-off captured in the ledger
- Model cards aligned to the standards that apply to you
- Cross-border transfer compliance built in
Organisations building AI products
Product teams need governance that keeps pace with development, not a compliance exercise bolted on at the end. eventParity sits alongside the model lifecycle from the first dataset to the first deployment.
- Model registry with full change-control history
- Automated quality and compliance checks
- AI assistance on models you control
- Six-dimension maturity scoring with benchmarks
Concrete documents, not dashboards no one reads.
These are the things you walk away with. Documents you can hold, submit, and rely on when the question comes.
Everything a regulator asks for, in one file. Mapped requirement by requirement to whichever frameworks apply to your sector. Produced on demand, not reconstructed under audit.
A one-page summary for each AI model you run. Training data, lawful basis, named approver, and version history. The first thing your regulator will want to see.
One page a Permanent Secretary will actually read. Where your organisation stands, what moved the score, and where the next quarter's effort should go.
Ready when you are