Ververica Platform Success Story:
Humn.ai

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

case study humanai copy

 

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.

 

Human.ai, Ververica-Platform Case study, stream processing platform, InsurTech

 

“When we migrated to Kubernetes with Ververica Platform it was much easier for our developers to define and configure jobs, as well as manage and monitor them in an integrated and efficient manner.”

Alberto Romero
Co-founder and CTO, Humn.ai

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