InsurTech startup ResiQuant, which specialises in property risk assessment, has raised $4m in a seed funding round led by LDV Capital.
Additional investors include Foothill Ventures, Pear VC, Alumni Ventures, and strategic angel investors, according to InsurTech Insights.
The fresh capital will support ResiQuant’s mission to transform how property insurers evaluate and manage catastrophe risks.
By leveraging AI-driven analysis of site inspection photos, aerial imagery, and public visuals, the company’s platform delivers building-level insights often overlooked by traditional data sources. Its technology pinpoints structural weaknesses that could impact a building’s resilience during natural disasters.
ResiQuant’s solution addresses major challenges within the $200bn US property insurance market, where insurers are grappling with rising reinsurance costs, catastrophic losses, and withdrawals from high-risk areas.
The company’s AI-driven platform helps insurance carriers reduce inspection costs, improve loss ratios, secure better reinsurance terms, and maintain coverage in volatile markets.
The funding will be used to enhance the capabilities of ResiQuant’s platform, expand its engineering and AI teams, and support insurance carriers across the US property market. While the company currently focuses on earthquake risk assessment, it plans to extend its offerings to include wildfires and windstorms.
ResiQuant was founded by structural and forensic engineers Dr. Issa and Dr. Francisco Galvis, who met at Stanford University’s John A. Blume Earthquake Engineering Center during their PhD studies. Their expertise, developed through post-disaster inspections and research, underpins the firm’s technology.
In a parallel announcement, ResiQuant revealed a strategic partnership with Golden Bear Insurance Company, a key provider of commercial property, earthquake, casualty, and professional liability insurance. Golden Bear will leverage ResiQuant’s AI-driven platform to enhance underwriting capabilities in disaster-prone regions.
“Property carriers make billion-dollar exposure and capital allocation decisions with dangerously incomplete data,” ResiQuant CEO Dr. Issa said. “We’re transforming this paradigm by delivering engineering-grade analysis that reveals hidden structural vulnerabilities in every building – helping carriers underwrite with confidence and maintain coverage precisely where others are forced to retreat.”
Golden Bear’s vice president of property, Michael Brown, highlighted the impact of ResiQuant’s technology on underwriting decisions. “ResiQuant is transforming how we process submissions, delivering risk-specific engineering insights at remarkable speed,” he said. “This is helping our underwriters better understand each risk, set pricing based on robust and specific risk data, and write CAT-exposed business with greater confidence based on better information.”
ResiQuant advisor and disaster risk management expert Dr. Laurie Johnson emphasised the need for AI-driven risk assessment in the insurance industry. “As the frequency and severity of earth and climate disasters intensify across the P&C industry, carriers must adopt more granular, engineering-driven approaches to assessing property risk,” she said. “Objective, building-level insights are fundamental to refining underwriting decision-making and risk modelling, and enhancing community resilience to future hazards.”
Golden Bear’s adoption of ResiQuant’s technology underscores the growing role of AI in the insurance sector, enabling carriers to navigate challenging market conditions while improving resilience against catastrophic events.
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