Verus provides an AI‑driven platform that automatically ingests and analyzes infrastructure inspection data from any supported sensor format, delivering same‑day, standards‑compliant reports with GPS‑referenced visualizations. The system handles format detection, signal processing, and condition classification without manual steps, and supports batch uploads for large asset networks such as bridges and highways.
Funding
Funding not disclosed
Founders
Product
Problem
Infrastructure inspection teams must manually process diverse sensor data, which is time‑consuming, error‑prone, and often delays critical condition reporting for large asset networks such as bridges and highways.
Solution
Verus offers an AI‑driven platform that automatically ingests inspection files from any supported sensor format, detects the file type, performs signal processing, and classifies condition results without human intervention. Users simply upload data and receive same‑day, standards‑compliant reports that include GPS‑referenced outputs and interactive map visualizations. The system is built for batch processing, enabling inspection programs that manage hundreds of structures to scale efficiently while maintaining consistent, high‑quality analysis across multiple non‑destructive evaluation methods.
Target Audience
Primary customers are government agencies, transportation departments, and large engineering firms that conduct regular inspections of bridges, roads, and other critical infrastructure assets.
Features
- Automatic format detection and preprocessing for any inspection file type (e.g., GPR, infrared thermography, surface wave analysis)
- AI‑based signal processing and condition classification delivering same‑day, ASTM‑compliant reports
- Batch upload capability for high‑volume asset networks with scalable performance
- GPS‑tagged results displayed on an interactive satellite map for spatial context
- Multi‑sensor support on a single platform, allowing expansion to additional NDE methods as programs grow