Italian startup Liablix, an AI-powered platform that automates motor-claims analysis, has raised a €1.2 million pre-seed round led by DFF Ventures, with participation from FJ Labs, Plug and Play, and a select group of angel investors.
Liability is a key financial driver in insurance workflows, and fraud can significantly distort outcomes, with estimated losses ranging between $6.8 and $9.3 billion. Automating fraud detection at scale is therefore critical for reducing these losses and improving insurers’ financial performance.
Liablix addresses this challenge by converting photos of damaged vehicles and incident data into an objective 3D reconstruction that clarifies accident dynamics and liability. Traditional liability assessment is often vulnerable to human error and subjective judgment.
Liablix instead delivers automated, evidence-based evaluations, verifying whether vehicle damage is compatible with the reported accident and whether declared bodily injuries are consistent with the reconstructed dynamics. This accelerates decision-making and helps prevent financial losses linked to inaccurate or inconsistent payouts.
The platform is built to tackle the day-to-day bottlenecks of claims handling. By combining advanced AI, 3D reconstruction technologies, and physics-based simulation, it provides a system focused on transparency and objectivity, with reports that are legally admissible and suitable for use in court.
Our goal is to innovate a highly specialised market by applying advanced physics and building software that is exceptionally difficult to replicate. Demand signals are clear, but the technological complexity required to solve this problem has historically been extremely high,
said CTO and co-founder Davide Moricoli.
The new funding will support Liablix’s international expansion, with a focus on major global insurance groups, particularly those facing substantial fraud-related losses and still operating with slow, manual, and under-digitalised processes.
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