Uadamage provides a cloud‑based platform that automates physical damage assessment using AI‑driven image analysis. Users upload photos of damaged assets, and the system generates quantified repair estimates, standardized reports, and real‑time dashboards that integrate via API with insurance, ERP, and field service workflows, reducing manual inspection and speeding claim processing.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and insurers often rely on manual inspection and paperwork to assess physical damage to assets, leading to slow claim processing, inconsistent evaluations, and higher operational costs.
Solution
Uadamage offers a cloud‑based platform that automates damage assessment through image capture, AI‑driven analysis, and standardized reporting. Users upload photos of damaged equipment, vehicles, or property, and the system generates quantified damage estimates, repair recommendations, and documentation ready for claim submission. The platform integrates with existing workflow tools via API, enabling seamless data exchange and reducing the need for on‑site adjusters. Real‑time dashboards provide stakeholders with visibility into claim status, cost projections, and trend analytics, accelerating decision‑making and improving accuracy.
Target Audience
Primary customers are insurance carriers, property managers, and field service companies that need efficient, scalable damage evaluation for claims and maintenance workflows.
Features
- AI-powered image analysis that identifies damage types, severity, and estimated repair costs
- Mobile‑optimized upload interface with guided photo capture to ensure consistent data quality
- Automated report generation in PDF and JSON formats for easy claim filing and record keeping
- RESTful API for integration with insurance, ERP, and field service management systems
- Dashboard with KPI tracking, claim pipeline visualization, and customizable alerts