OmniGeo
OmniGeo provides a geo-reasoning engine that fuses satellite, aerial, and drone imagery across multiple sensor modalities to deliver physics-based measurements of physical risk. Its first product, OmniFire, is a property-level wildfire risk API that measures roof composition, vegetation moisture, and defensible space for insurance underwriters. The platform reconstructs spectral bands hidden to ordinary cameras, enabling auditable, calibrated risk signals that support regulatory compliance with CA AB 3074 and CO HB25-1182.
- Insurance Technology
- Data & Analytics
- Space Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Underwriters cannot see the physical risk to each property or how that risk changes over time. They must rely on stale property insights or costly in-person inspections, leading to mispriced risk, ballooning loss ratios, and difficulty complying with new mitigation regulations and grant credit requirements.
Solution
OmniGeo provides a geo-reasoning engine that fuses imagery across satellite, aerial, and drone platforms and across sensor modalities—optical, multispectral, radar, LiDAR, and thermal—to measure the physical risk of both natural and built environments. Its proprietary spectral science recovers a material's true signature from existing imagery, reconstructing hidden spectral bands to determine what something is made of and its current state. The company's first product, OmniFire, is a property-level wildfire risk API that delivers measurements such as roof composition, vegetation moisture content, and dynamic defensible space directly to underwriters at the point of quote. Unlike AI pattern-matching scores, these physics-based outputs are auditable, calibrated, and traceable back to source imagery, reflecting actual ground conditions rather than modeled estimates.
Target Audience
Primary customers are P&C insurers, reinsurers, and risk providers who need measured, property-level wildfire risk intelligence for underwriting and pricing. Additional target segments include banks, utilities, real estate firms, and supply chain operators requiring physical risk assessment across assets and portfolios.
Features
- Fuses imagery across platforms (satellite, aerial, drone) and sensor modalities (optical, multispectral, radar, LiDAR, thermal) into a single risk measurement engine
- Reconstructs spectral bands hidden to ordinary cameras to recover material type, moisture, and condition from imagery that already exists
- Provides physics-based measurements rather than black-box AI scores, with every output traced to a spectral signature and source image
- OmniFire API assesses roof material, vegetation moisture, and defensible space at the individual property level with industry-leading recency for pre- and post-mitigation change detection
- Built for regulatory compliance with CA AB 3074 and CO HB25-1182, offering auditable, explainable property-level signals and appeal-ready audit trails
- Validates outputs against on-the-ground truth rather than against other models