If your institution wants to deploy AIRINA's research as production tools, sponsor a cohort, or co-design a research engagement — this is the entry point. We work with the institutions that send us their actual problems, not with sales pipelines.
Phase 1 products for institutions in the BCEAO zone: credit scoring grounded in interpretable models, fraud and anomaly detection on transaction streams. Open methods on GitHub; the trained models and on-site integrations are commercial. Pilot under NDA available.
If your institution has a problem the literature does not yet answer — anomaly detection on mobile-money rails, asymmetric topology on default networks, interpretable models for regulatory review — we will scope a joint research engagement. The papers go to arXiv; the implementation is yours.
Trainees do not pay. Sponsoring institutions do. Underwrite a public cohort, or commission a custom cohort for your own analytics, risk, or model-validation team. Either way the curriculum is the working research of the institute, not a generic data-science package.
No program runs longer than two weeks. No one graduates without defending. No work stays in a drawer. No trainee writes a check. No quarter is the horizon. These constraints shape how institutional engagements work — the timeline is the research timeline, the deliverable is the research output, and the value to your team is the people they meet in the room.
To scope a product pilot, joint research, or custom training: contact@airina.africa with a one-paragraph description of the problem and the institutional context.
To discuss sponsoring a cohort, underwriting a research theme, or a longer-term institutional partnership: contact@airina.africa.