Aligned, auditable, accountable.
Where we sit in Kenya's regulatory landscape, and how we behave by design. This is the document our security and legal teams will hand to your due-diligence reviewer.
Kenya Data Protection Act, 2019.
Lawful basis
Every data category we collect is mapped to a lawful basis. We do not over-collect.
Data minimisation
Role-bound collection. We never collect 'just-in-case' data.
Data subject rights
Access, rectification, erasure, and portability — operationalised, not just policy.
Cross-border transfers
Documented transfer mechanisms and a default of in-country processing where viable.
Modelled to Kenya's electoral hierarchy.
Region model
47 counties, 290 constituencies, 1,448 wards — modelled natively with versioned seed data.
Position model
President, Governor, Senator, Women Rep, MP, MCA — each anchored to the correct region scope.
Non-adjudicating
We do not count votes or adjudicate outcomes. We are awareness, not authority.
Stable URLs for public profiles
Cite-friendly URLs that civic observers can rely on across an election cycle.
Our public AI-use stance, in plain language.
We do not train on customer content. Aspirant data, party data, and volunteer data are never used to train external models.
We do not generate content for broadcast. Civicore's AI summarises and surfaces — it never publishes or schedules on a user's behalf.
AI is off by default during election week. In the final 14 days, generative features are disabled by policy across all customers.
Every AI insight is citable. Each insight links back to the underlying records. Black-box recommendations are not acceptable in civic infrastructure.
Run the campaign your country deserves.
Coordinated. Transparent. Peaceful. Civicore is the platform Kenya's political ecosystem has been waiting for.