Liablix provides insurers with an AI-powered platform that converts accident photos and incident data into an objective 3D reconstruction to determine liability and detect fraud. By replacing subjective, manual reviews with automated, evidence-based evaluations, the software verifies whether vehicle damage and reported injuries align with reconstructed accident dynamics. The system combines advanced computer vision, physics-based simulation, and legally admissible reporting, enabling faster, more consistent claim resolutions. Fraud losses in motor insurance are estimated at $6.8-$9.3 billion annually, and Liablix targets this pain point by offering scalable, automated detection. The company positions its technology as difficult to replicate, creating a defensible advantage in a historically under-digitalised market. Fresh capital will support international expansion toward large global insurers still struggling with slow, manual workflows. Although early in its lifecycle, Liablix has attracted multiple venture backers and plans to leverage its pre-seed funding to accelerate go-to-market efforts and product development.

Total raised

$1M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2025