Izere is the execution-intelligence layer for EU institutions, DFIs and infrastructure programmes — explainable AI that detects delivery risk 2–3 months earlier, before delays harden into losses.
By May 2024, Latvia's procurement signals across 18 contract notices showed a 47% drop in qualified bidders versus the 2018 baseline. Subcontractor concentration crossed the 0.62 Herfindahl threshold three quarters earlier than ECA detection.
Coordination signals between the three Member States — meeting cadence, document throughput, milestone amendments — diverged sharply in Q3 2024. Izere's graph model would have moved Rail Baltica's risk score from 41 to 78 between June and September.
By the time the European Court of Auditors flagged the programme in January 2026, the cost had compounded for fourteen months. Earlier detection would have surfaced corrective action while the cost gap was still €2.4B — not €18B.
Milestone reports, change events, coordination signals, governance structures, and disbursement patterns are unified into a single execution data model. API-first; nothing proprietary required.
Graph neural networks for actor-relationship modelling. SHAP-based explanations on every score. Federated learning so insights compound without data leaving an institution's perimeter.
Programme managers and managing authorities receive structured risk intelligence months earlier — enabling timely corrective action while the cost of correction is still small.
Programmes are modelled as dynamic graphs: contracting authorities, suppliers, subcontractors, and dependencies. The model learns structural risk patterns — concentration, brittleness, governance distance — that linear models miss.
Every risk score decomposes into the specific signals that drove it, with weights and provenance. No black-box outputs. No score is published without an evidence chain that an institutional auditor can read end-to-end.
Models train on insights without raw data ever leaving an institution's perimeter. Cross-programme intelligence compounds; data sovereignty is preserved. GDPR- and EU-AI-Act-compliant by construction.
Every model version, training set, and feature is versioned. Institutional auditors can reproduce any score retrospectively. EU AI Act high-risk system documentation is generated continuously, not retrofitted.
If your auditors cannot read it, you should not deploy it.
Izere ships full methodology documentation with every deployment. Model cards, evaluation protocols, and sensitivity analyses are reviewable before procurement.
We'll demonstrate the platform against real EU programme data and discuss fit with your specific portfolio. No slide deck — just the system.
USUAL RESPONSE · 1 BUSINESS DAY · LUXEMBOURG TIME · OR EMAIL alain@izereai.com