Izere is being built from a simple conviction formed over a career inside public-capital programmes: the execution gap is an intelligence problem, and the data to close it already exists.
Alain has spent his career advising on the design, supervision, and execution of public-capital programmes — consulting work for the European Commission, the African Development Bank, and a portfolio of development finance institutions across Europe and Africa.
The pattern across that career: institutions could commit capital with extraordinary scale, and could not systematically deliver on it. The diagnostic frameworks were retrospective; the supervision tools were linear; the monitoring data was fragmented. Programme failures were structural, not financial — and almost always visible months before they were officially detected.
Izere is built to read what institutions already produce, in a way that a programme manager — and an institutional auditor — can both read end-to-end.
If a feature, a score, or a deployment cannot be reviewed end-to-end by an institutional auditor, we do not ship it. This is a hard constraint, not a preference. It rules out whole categories of architectural choices that other ML companies make.
Izere informs institutional judgement. It does not automate it. No score triggers automated procurement, financial, or supervisory action. Every outcome flows through human institutional sign-off — and the system is designed so it cannot be otherwise.
EU-only hosting. Federated training. Customer-managed keys. Zero US-jurisdiction routing at any layer. Sovereignty is the deployment default, not an upgrade. The buyer should never have to ask for it.
Don't see a fit but want to help build Izere from the ground up? alain@izereai.com.