ResiQuant is a technology company.
ResiQuant has raised $4.0M across 1 funding round.
ResiQuant has raised $4.0M in total across 1 funding round.
ResiQuant has raised $4.0M in total across 1 funding round.
ResiQuant's investors include B Capital Group, Hardware Club, LDV Capital, Serena Capital.
ResiQuant is an AI-powered platform designed for property underwriting in catastrophe-prone areas, enabling insurance carriers and managing general agents (MGAs) to assess risks like earthquakes, wildfires, windstorms, and floods with engineering-grade precision.[2][3][4] It processes submission data, aerial imagery, and site photos via AI agents—Submission AI, Engineering AI, and Underwriting AI—to uncover structural vulnerabilities missed by traditional sources, reducing inspection costs, manual workloads, and backlogs while improving loss ratios and reinsurance terms.[1][2][3] Serving the $200bn US property insurance market, ResiQuant helps carriers maintain coverage in high-risk regions amid rising catastrophes, with early traction including a $4M seed round and a partnership with Golden Bear Insurance Company.[1][2][3]
The platform supports 99% of US geographies and most occupancy types (commercial, multi-family, single-family), offering API integrations and CAT-model exports for seamless workflows.[3] Following its seed funding, ResiQuant is expanding engineering and AI teams to enhance capabilities and broaden peril coverage.[2]
ResiQuant was founded by Dr. Omar Issa (CEO) and Dr. Francisco Galvis, structural and forensic engineers who met in 2020 at Stanford University's John A. Blume Earthquake Engineering Center during their PhDs.[2][4] Issa, a second-generation engineer with disaster response experience, focused his research on AI frameworks for pre-disaster adaptation strategies, drawing from post-event inspections.[4] Galvis specialized in building resilience, conducting fieldwork after events like the Turkey Earthquake and Hurricane Ian.[2][4]
The idea emerged from their expertise in post-disaster analysis and hundreds of conversations with underwriters, revealing gaps in risk data that force carriers to retreat from volatile markets.[4] Pivotal early moments include securing $4M in seed financing to scale the platform and launching a strategic partnership with Golden Bear Insurance, which adopted ResiQuant for enhanced underwriting in disaster-prone areas.[1][2][3]
ResiQuant rides the convergence of AI automation and climate resilience in the $200bn US property insurance sector, where carriers face soaring reinsurance costs, catastrophic losses, and market withdrawals from high-risk zones.[2] Its timing aligns with escalating natural disasters and AI adoption in insurtech, transforming incomplete data into actionable insights for confident underwriting.[2][4]
Market forces like retreating insurers create opportunities for ResiQuant to enable coverage continuity, incentivize resilient building, and improve ecosystem stability.[2][3][4] By partnering with carriers like Golden Bear, it influences the landscape, fostering AI-driven standards that reward property upgrades and expand to all major hazards.[2][3][4]
ResiQuant is poised to dominate AI underwriting for catastrophe risks, leveraging its $4M seed to expand teams, perils (beyond earthquakes to full wildfire, windstorm, flood coverage), and integrations nationwide.[2][3] Trends like intensifying climate events and AI maturity will accelerate demand, positioning it to capture share in a fragmented market while driving industry-wide resilience incentives.[2][4]
Its influence may evolve from niche innovator to ecosystem enabler, helping carriers scale profitably where others can't—ultimately tying back to its core strength: turning incomplete data into engineering confidence for an era of rising risks.[1][2][4]
ResiQuant has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in March 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Mar 1, 2025 | $4.0M Seed | B Capital Group, Hardware Club, LDV Capital, Serena Capital |