At Numinai we are building a risk system for V16 emergency beacon incidents in Spain. The IPIC index summarises the level of hazard around a given point, enabling risk comparison at any scale — from intersections to full motorway networks.
We build structural monitoring pipelines and ground deformation analytics for civil infrastructure using InSAR/SBAS satellite data.
We build risk scoring engines, fraud detection systems, credit models and automated decisioning pipelines for financial institutions.
We develop predictive maintenance systems, process optimisation models and anomaly detection pipelines for industrial operations.
We build personalisation engines, treatment recommendation systems and client segmentation models for aesthetic clinics and health-beauty businesses.
We design clinical data pipelines, outcome prediction systems and AI solutions built to operate within regulatory constraints.
Our Approach
Each industry has its own data, its own constraints and its own definition of risk. Our products start from real operational problems — not from a generic model looking for a use case.
Some of our products come out of our own research, like the IPIC index for road risk in Spain. We invest in developing systems end to end — data capture, modelling and delivery — so the result is proven before it reaches a client.
In banking, pharma and health, a prediction is only usable if it can be explained and audited. We build traceability and governance into the pipeline from the start, rather than bolting them on at the end.
InSAR deformation analysis for civil infrastructure, predictive maintenance in industrial plants, personalisation engines in clinics — the same engineering discipline applied to very different data.
