We translate complex pricing models - often built in Excel over years - into production-grade code that runs on the hx platform. We work directly with customer actuaries to understand their pricing logic, business rules and edge cases, then rebuild it in a way that's maintainable, collaborative and performs at scale.

We make code work in a way that matches how actuaries and underwriters think. This means maintaining transparency in rating logic, building clear audit trails, and ensuring models produce explainable results that underwriters can defend to regulators and reinsurers. The challenge is balancing technical efficiency with the need for actuarial credibility.

Every customer's pricing approach is different - different perils, rating factors, regulatory requirements. We build tailored models for each insurer's book of business, working through their historical data, understanding their appetite and risk tolerances, and implementing logic that matches how they actually underwrite.

We sit between customer-specific implementation and platform capabilities. We identify patterns across customer models that should become platform features, share product requirements back based on real implementation challenges, and help shape how the hx platform evolves to support increasingly complex pricing needs.