Earnix Eˣcelerate 2025

Oren Kohavi invites users to a four-week, hands-on competition that turns buzzwords into practice. Participants blend internal and external data, build best-in-class models, and learn new platform capabilities through live webinars with a daily leaderboard and a GenAI benchmark keeping standards high.

Marie Carter and Mohammad Khan cut through the noise with field results and hard constraints. Machine learning is not new to insurance; what’s new is how GenAI and agentic AI rewire the flow of work.

Tim Harford reminds us that innovation is a system, not a gadget. Breakthroughs pay off only when the surrounding parts click into place: printing needed cheap paper and literate readers; shipping containers needed ports, cranes, contracts, and logistics talent; electricity reshaped factories only after workflows, buildings, and training were redesigned.

Christophe Bourguignat and Nicolas Leclercq describe how Matmut is rebuilding home insurance by putting data and customer conversations at the center. Earnix powers the pricing engine and technical rate calculation, drawing on third-party property data that links each address to building attributes, risk scores, and exposure.

Vinicius Soares shares a candid story of growth through mergers and market turbulence in Brazil, presenting a practical blueprint for high-performing pricing teams that starts where execution lives. He outlines the strategy of building a “company within a company,” focusing on setting clear pillars and measuring outcomes to drive continuous improvement, turning small fixes into momentum.