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Ververica Platform Success Story:
Humn.ai

Machine Learning-based models to quantify commercial fleet exposure at individual insured asset risk in real-time

Humn.ai uses Ververica Platform and Apache Flink to build a Machine Learning-based platform producing dynamic risk assessment models and real-time pricing for tomorrow’s insurance industry.

Humn.ai deployed Ververica Platform with Apache Flink to harden production Flink jobs seamlessly and quickly. Their platform is Kubernetes-native and implements Machine Learning-based algorithms for calculating the risk of the vehicles in real-time. The risk scores for each insured asset calculate dynamically and update a premium variable part of the insurance policy in real-time.

Ververica platform case study humn.ai

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