Overview
Caelus.Space is a geospatial risk analytics platform for insurance carriers, offering satellite-based early detection of ground movement hazards -- subsidence, landslides, sinkholes, and structural deformation -- across property portfolios. Founded in 2024 in Kfar Saba, Israel, the company targets NatCat underwriting and risk engineering teams looking to shift from reactive claims handling to proactive loss prevention.
The platform integrates imagery from a constellation of 29+ satellites using Synthetic Aperture Radar (SAR) and multispectral sensors, processed through proprietary machine learning and deep learning models capable of detecting structural movement to 2mm precision. Output is delivered as a B2B SaaS monitoring service, mapping risk at the individual building level and covering national property portfolios in continuous mode. A sample deployment covered Zurich, analyzing over 53,000 buildings and surfacing high- and critical-risk structures before claims emerged.
Caelus.Space completed a Seed round in September 2025 via a corporate accelerator investor and participated in the InsurTech Hub Munich Global Accelerator Program 2025. Publicly referenced customers include Aon and Harel Insurance. The company is also active in the Swiss InsurTech Hub and InsurTech Israel ecosystems.
Products & Services
Subsidence Monitoring
Continuous satellite monitoring for ground subsidence at the individual property level. Processes SAR imagery from multiple passes to detect millimeter-scale deformation across insurer property portfolios. Delivers risk-tiered output identifying medium, high, and critical-risk structures before damage occurs.
Key Features
- Building-level risk classification across national portfolios
- Continuous monitoring with multi-satellite pass integration
- Detection threshold of 2mm structural movement
- Risk tiers: medium, high, critical
Target Users: NatCat underwriting teams, property risk engineers, reinsurance analysts
Landslide and Rockfall Detection
Satellite-based early-warning system for slope failures and rockfall. Combines SAR and multispectral imagery with geotechnical ML models to identify precursory ground movement signatures months to years before an event.
Key Features
- Multi-sensor fusion (SAR + multispectral)
- Months-to-years advance detection window
- Geotechnical ML hazard models
Target Users: Infrastructure insurers, property carriers in mountainous or slope-risk geographies
Sinkhole Prevention
Predictive detection of sinkhole formation using satellite-derived deformation data and geotechnical machine learning. Relevant in karst geology regions and urban areas with legacy underground infrastructure.
Key Features
- Satellite deformation signature analysis
- Geotechnical parameter extraction
- Applicable to both natural and urban sinkhole risk
Target Users: Property carriers, municipal risk managers
Infrastructure Risk Management Platform
B2B SaaS platform providing continuous satellite monitoring for roads, railroads, and large civil infrastructure projects. Integrates sensing across multiple domains with custom ML, deep learning, and language model components. The company cites greater than 90% reduction in potential damage costs through early intervention.
Key Features
- Multi-domain sensing integration
- Custom ML/DL/LLM model stack
- Applicable to roads, rail, and large-scale civil projects
- Global-scale deployment capability
Target Users: Infrastructure insurers, government agencies, engineering firms
At a Glance
- Founded
- 2024
- Headquarters
- Kfar Saba, Israel
- Employees
- 1-10
- Funding
- Seed
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- NatCat Risk Analytics Geospatial Risk Intelligence Property Risk Monitoring
- Insurance Verticals
- P&C Commercial P&C Personal Specialty/E&S Reinsurance
- Target Customers
- Carriers, Reinsurers, Brokers
Customers
- Aon
- Harel Insurance
- Israel Ministry of Energy
Links
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Last updated: 2026-06-25