Prevue Science Platform

Perhaps you only need a dashboard and an API to use our predictions and the anomalies we detect for you. But where do the predictions come from? Why is Prevue the right partner for you? We constructed a one-of-a-kind tool, Prevue Science Platform, which allows us to offer to you the best analytics and predictions pipeline. Without compromise.

Hybrid modelling

Prevue is not just about machine learning. Our models build on centuries of research on mathematics and statistics. Prevue Science Platform allows us to combine machine learning with classical analytical modelling in a hybrid fashion. This allows us to incorporate your existing knowledge straight into our machine learning models.

Tailor-made dashboards

We sit down with you and make your dashboard exactly the way you need it. A general purpose tool would lead to general purpose dashboards, with all their limitations. Instead, we go for specialized. The tools we use pose no limits, so you do not have to limit your imagination.

Automation at scale

Prevue Science Platform is built on Kubernetes. All components scale without limits from zero to the size you need. Our data and prediction pipelines are stable and ready for scale. Our modelling pipeline can parallelize to literally thousands of cpu's because of our custom-built solution based on Optuna and Armada. Our automisation is done with Dagster and is hence fully tested and monitored.

Banking-grade security

You can trust us with your data, because we trust no one else. The platform is interconnected using Istio Service Mesh, which assures encryption, authentication and authorization with mutual TLS for every single bit of communication inside the platform. In short, all communication is encrypted in transit. On top of that, all our storage is encrypted at rest. Of course, all encryption adheres to the latest standards.

But you can build this yourself.

Anyone can build this. But you will need to recruit the right expertise, which is costly. Our solution is ready to go and comes at a fraction of the cost.