4cuatro provides HomAI, an AI‑driven platform that continuously assesses roof condition for residential and commercial buildings using high‑resolution satellite imagery and geospatial analytics.
Funding
Funding not disclosed
Founders
Product
Problem
Insurers, lenders, and property managers often rely on infrequent, manual roof inspections that are costly, time‑consuming, and limited in geographic coverage, leading to delayed detection of roof damage and inaccurate risk assessments.
Solution
4cuatro offers HomAI, an AI‑driven platform that continuously evaluates residential and commercial roofs using high‑resolution satellite imagery combined with geospatial analytics. The system automatically extracts building‑level structural metrics, such as material condition, degradation patterns, and damage indicators, without the need for on‑site visits. Results are delivered through a cloud‑based dashboard that provides up‑to‑date intelligence for underwriting, pricing, claims processing, and asset resilience planning. By leveraging space‑based data, the solution scales across entire portfolios, enabling proactive risk management and faster decision making.
Target Audience
Primary customers are property insurers, reinsurers, mortgage lenders, and large property owners who need accurate, up‑to‑date roof condition data for risk evaluation and asset management.
Features
- Automated processing of satellite imagery to generate roof condition assessments at the individual building level
- Proprietary AI models that detect material wear, water intrusion, and structural anomalies
- Continuous monitoring with periodic updates to capture changes over time
- Cloud dashboard delivering standardized reports, risk scores, and alerts for underwriting and claims workflows
- API integration for seamless data exchange with insurance, finance, and asset‑management systems
- Scalable architecture supporting large residential and commercial portfolios across multiple regions