ResiQuant Raises $4 Million in Seed Round

by Kay Aloha Villamor in March 18th, 2025

ResiQuant, a San Francisco, CA-based AI-driven risk assessment company, has raised $4 million in seed funding. 

Investors 

The round was led by LDV Capital, with participation from Foothill Ventures, Pear VC, Alumni Ventures, and several strategic angel investors. 

LDV Capital is a thesis-driven early-stage venture fund investing in people-building businesses powered by visual technology that leverages computer vision, machine learning, and artificial intelligence to analyze visual data. Since 2012, LDV Capital has invested in pre-seed and seed-stage teams across North America and Europe. 

ResiQuant Use of Funds 

The company will use the funds to enhance its AI-driven catastrophe risk assessment platform, expand into wildfire and windstorm risk analysis, and grow its engineering and AI teams. 

About ResiQuant 

Founded by Dr. Omar Issa and Dr. Francisco Galvis, ResiQuant is an end-to-end AI platform designed to help property insurers assess and manage risks like earthquakes, wildfires, and hurricanes. The platform leverages structural engineering insights and AI technology to improve underwriting efficiency, data accuracy, and profitability in high-risk regions. The company's specialized AI agents analyze site inspection photos, aerial imagery, and publicly available visuals to conduct comprehensive vulnerability assessments and identify hidden structural vulnerabilities in buildings. Headquartered in San Francisco, CA, ResiQuant’s mission is to build a world where every property’s true resilience is understood and valued. 

Funding Details 

Company: ResiQuant, Inc. 

Raised: $4.0M 

Round: Seed 

Funding Date: March 2025 

Lead Investor: LDV Capital 

Additional Investors: Foothill Ventures, Pear VC, Alumni Ventures, strategic angel investors 

Company Website: https://www.resiquant.ai/  

Software Category: AI & Property Risk Management 

Source: https://www.resiquant.ai/resources/news/resiquant-announces-4m-seed-financing 

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