Case Study: Cape Analytics achieves streamlined model governance with Monitaur

Revolutionising InsurTech with simplified model governance

Cape Analytics, a Palo Alto-based InsurTech company, faced the challenge of scaling its AI model governance best practices. As they grew, manually maintaining these processes began to slow engineering productivity. Their need for robust, demonstrable governance was critical to satisfy their regulated financial institution clients and a rapidly changing regulatory environment. They partnered with vendor Monitaur to implement its solution for model governance.

By leveraging Monitaur's managed and flexible controls library, Cape Analytics operationalized a sensible governance approach for its highest-risk model within four months. The solution provided visibility for all teams, aligned risk and technology requirements, and saved months of initial development time. This allowed Cape's data scientists to focus more on improving model quality, ultimately leading to faster sales cycles and increased trust with clients.

Cape Analytics

Fabian Richter

VP of Engineering, Machine Learning