
LabelFuse is a no-code platform for Machine Learning and Computer Vision, enabling non-technical teams to analyze visual data from satellite feeds, CCTV, and drone streams without writing code. Their technology helps prevent asset damage and loss by automatically capturing and analyzing context-specific incidents. Key features include real-time alerts for specific incidents, predictive analytics for trend analysis, and a commitment to data privacy with GDPR and AVG compliance. The platform supports integration with various camera brands like AXI, BOSH, DJI, and Flir, allowing users to connect cameras, assign tasks of interest for object tracking and counting, and monitor incidents via a dashboard. LabelFuse is industry-agnostic and offers solutions for defense missions, traffic flow analysis, loss prevention, search and rescue, and maintenance.

LabelFuse is a no-code platform for Machine Learning and Computer Vision, enabling non-technical teams to analyze visual data from satellite feeds, CCTV, and drone streams without writing code. Their technology helps prevent asset damage and loss by automatically capturing and analyzing context-specific incidents. Key features include real-time alerts for specific incidents, predictive analytics for trend analysis, and a commitment to data privacy with GDPR and AVG compliance. The platform supports integration with various camera brands like AXI, BOSH, DJI, and Flir, allowing users to connect cameras, assign tasks of interest for object tracking and counting, and monitor incidents via a dashboard. LabelFuse is industry-agnostic and offers solutions for defense missions, traffic flow analysis, loss prevention, search and rescue, and maintenance.
Product: No-code computer vision platform for connecting live camera feeds and analyzing incidents in real time
Use cases: Traffic, security/loss prevention, defence, search & rescue, maintenance, digital twins
Founded: August 2019
Headcount: 4 employees (reported)
Funding (reported): Total reported $490,000; last round Sep 10, 2022
Operational monitoring and incident detection from visual data (security, safety, traffic, asset protection, and mission-critical monitoring).
2019
Computer vision / Machine learning
Listed as last round
“Antler, Rabobank, BOM”