Earnix Eˣcelerate London 2026

Building What's Next

Earnix Excelerate London 2026 brought together insurance leaders from across Europe to examine how the industry is moving AI from experimentation into governed, production-scale use. Through executive perspectives, customer examples, product innovation, and expert-led sessions, attendees explored how insurers are bringing intelligence into the decisions that drive business performance — responding faster to changing risk, strengthening pricing and underwriting, improving customer engagement, and doing so with the governance, control, and trust insurance requires.

Earnix Excelerate > Earnix Excelerate 2026

Insights for Industry Leaders

Excelerate London 2026 gave us bold ideas and expert perspectives, offering a clear view into how the industry is evolving.

  • Tom Melvin

    Head of PricingINSHUR
    Tom Melvin

    "For us, pricing on-demand drivers accurately starts with data that actually moves with them: trip frequency, platform activity, actual hours worked. Our platform partnerships deliver those inputs in real time, and Earnix is the engine we use to translate up-to-the-minute data into pricing at the individual driver level.”

  • Tadeusz Prochwicz

    Head of Technical Excellence & Market IntelligenceUNIQA
    Tadeusz Prochwicz

    "Insurers need to move into AI fast, but without breaking things - especially our customers' trust. That requires AI designed for the realities of insurance, with transparency, accountability, and regulatory compliance built in from the start."

  • Justine Vachon

    FCAS, FICA, Director, Pricing – Intelligence and Strategies, iA Auto and Home InsuranceiA Assurance
    Justine Vachon

    "When working under a tight deadline, pricing agility provides the speed, control, and predictability to meet it."

Earnix Excelerate London 2026:
Explore the Sessions

At Earnix Excelerate London 2026, insurance leaders from across Europe came together to explore what’s next for the industry. Watch the on-demand sessions to hear directly from executives, customers, and experts on how they are approaching AI, intelligent decisioning, and the changes reshaping insurance.

Underwriting, Automation

Commercial Underwriting Reimagined: Faster, More Consistent Risk Decisions

See how insurers can turn submission data into faster, more informed underwriting decisions. This session explores how streamlining intake and bringing relevant risk intelligence into the underwriting workflow can improve risk assessment, increase consistency, and help underwriters focus their expertise where it matters most.

Roy Amid, Product Manager & Paul Webster, Manager of Solutions Engineering, EMEA, Earnix

Roy Amid, Product Manager & Paul Webster, Manager of Solutions Engineering, EMEA, Earnix

AI, Decisioning

Spatially Varying Risk in Cat Nat Pricing: Evidence from Bouches-du-Rhône

Catastrophe models can identify where a portfolio is exposed, but insurers still need to translate that intelligence into individual pricing decisions. Using open data and clay subsidence claims in Bouches-du-Rhône, Matmut, and Earnix explore how spatial modeling can help close that gap, bringing greater precision to risk assessment and rating.

Pierre Gosselin, PhD Candidate and Actuarial Studies Analyst, Matmut & Luba Orlovsky, Principal Researcher, Earnix

Pierre Gosselin, PhD Candidate and Actuarial Studies Analyst, Matmut & Luba Orlovsky, Principal Researcher, Earnix

Decisioning, Personalization

Personalized Engagement at Scale: Turning Decisions into Customer Outcomes

See how Engage-It turns real-time intelligence into relevant recommendations, explanations, and next-best actions at the point of interaction. This session explores how insurers can put better decisions into action to help advisors engage customers more effectively, reduce friction, and improve retention, conversion, and customer outcomes.

Johana Moreno Orjuela, Senior Product Manager & Domitille Dien, Head of Product Marketing, Earnix

Johana Moreno Orjuela, Senior Product Manager & Domitille Dien, Head of Product Marketing, Earnix

AI, Decisioning

AIOS in Action: Orchestrating Data, Models, Applications, and Agents

See how AIOS brings data, models, applications, agents, and human expertise together to turn intelligence into action across insurance workflows. Explore how orchestration helps insurers operationalize AI at scale while maintaining the context, governance, and control required for consequential decisions.

Shira Gheriani Sharon, VP, Cloud Solutions & Eitan Mordel, Senior Product Manager, Earnix

Shira Gheriani Sharon, VP, Cloud Solutions & Eitan Mordel, Senior Product Manager, Earnix