AI built by property risk specialists

We're building AI that makes catastrophe risk insurable at unprecedented scale.

Why we exist

Building the best AI for property underwriting

Catastrophe underwriting demands structural intelligence that's historically required third-party inspections, engineering reports, or conservative assumptions—limiting speed and scale.

We founded ResiQuant to unlock this: embedding structural engineering expertise into AI that delivers building-level validation at submission speed—making profitable catastrophe growth possible.

Founded by structural engineers who've seen disasters firsthand

Omar and Francisco founded ResiQuant to embed structural engineering expertise into AI that makes catastrophe risk insurable at scale.

Omar Issa, PhD

Co-founder & CEO

Francisco Galvis, PhD

Co-founder & CTO

Why we exist

ResiQuant provides domain-specific AI making property risk insurable at scale. By embedding structural engineering expertise directly into submission workflows, we enable carriers to operate profitably in high-hazard markets while creating market-based incentives for resilience—transforming property underwriting from an art dependent on individual judgment into a scalable, data-driven discipline.

Team & backing

Built on a foundation of proven domain expertise.

Backed by top-tier VCs and advisors who shaped catastrophe risk science.

Academic Roots

Advisory board

ResiQuant's advisors bring decades of leadership experience in catastrophe risk, resilience planning, and structural engineering research.

Henry Burton PhD

Professor, UCLA

Laurie Johnson PhD

Principal, Laurie Johnson Consulting

Turn catastrophe risk into resilience

Transform underwriting with seamless automation, unmatched precision, and AI-powered insights tailored for property carriers.