
Detekt
AI-powered geospatial platform for road infrastructure analysis.
Date | Investors | Amount | Round |
---|---|---|---|
* | N/A | Acquisition | |
Total Funding | 000k |
Related Content
Detekt, founded in Vienna, Austria, in 2021, operates a geospatial data platform that utilizes artificial intelligence for the analysis and management of road infrastructure. The company's software is designed to automatically detect, classify, and locate road assets, including signs, markings, and defects like cracks and potholes, by processing mobile mapping data.
The platform is hardware-agnostic, supporting GIS data, point clouds, and georeferenced images from any mobile mapping equipment manufacturer, which prevents vendor lock-in for its clients. It can be deployed on the cloud or on-premise, and its viewer can be embedded into web pages for data sharing and transparency. Detekt also offers features for data privacy, automatically redacting sensitive information such as faces and license plates to comply with regulations like GDPR. To enhance the reliability of its detections, the company employs Conformal Prediction to assign confidence levels to its findings and an object fusion algorithm to integrate data from multiple sources and improve accuracy.
Detekt serves clients who require detailed and efficient analysis of road networks, providing outputs in various GIS formats or through its proprietary web viewer. The business model appears to be service-based, where clients upload their data, and Detekt provides detailed analysis within 72 hours. This approach is positioned as being five times faster and more cost-effective than traditional manual methods. The company is currently listed as unfunded.
Keywords: geospatial data, road infrastructure management, artificial intelligence, mobile mapping, asset detection, road defect analysis, point cloud processing, GIS data, infrastructure inspection, data analysis platform, road safety, asset management, computer vision, data visualization, predictive maintenance, photogrammetry, LiDAR data processing, georeferenced imagery, automated inspection, road network analysis