Italian Startup Liablix Raises €1.2M To Modernize Automotive Claims Analysis

Fraud and liability are major cost drivers in insurance, causing estimated losses of $6.8–$9.3 billion. Liablix aims to reduce these losses and improve insurers’ financial performance by automating fraud detection at scale.

Liablix tackles this challenge by transforming photos of damaged vehicles and incident data into precise 3D reconstructions that clarify accident dynamics and assign liability. Traditional assessments are often prone to human error and subjective judgment.

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The platform delivers automated, evidence-based assessments that verify if vehicle damage matches the reported accident and if claimed injuries are consistent with the reconstructed scenario. This helps speed up decision-making and reduces financial losses from incorrect or inconsistent claims.

By combining AI, 3D reconstruction, and physics-based simulation, Liablix addresses everyday bottlenecks in claims handling. Its reports are fully transparent, objective, and legally admissible, 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 fuel Liablix’s international expansion, targeting major global insurance groups especially those struggling with significant fraud-related losses and relying on slow, manual, and under-digitalised claims processes.

About Liablix

Liablix, founded in 2025, is an AI-powered SaaS platform that automates vehicle-collision analysis and liability assessment for insurers, claims adjusters, and legal professionals. Using physics, advanced 3D reconstruction, and AI, it transforms accident photos and data into objective, actionable and legally defensible insights within minutes.