Liablix secures €1.2M to modernize Automotive Claims Analysis

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Liablix secures €1.2M to modernize Automotive Claims Analysis
© Liablix

Liablix, an AI platform that automates motor-claims assessment, has raised a €1.2 million pre-seed round led by DFF Ventures, with participation from FJ Labs, Plug and Play, and several angel investors.

Founded by Davide Castellucci, Filippo Begani and Davide Moricoli, Liablix helps insurers analyse claims with precision by converting damaged-vehicle photos and incident data into an accurate 3D reconstruction. Instead of relying on subjective manual judgement, the system determines accident dynamics, verifies damage compatibility and checks whether reported injuries match the actual physical forces.

Reducing fraud and speeding up decision-making

Liability analysis is a major cost driver in insurance, and fraud introduces billions in losses every year. By automating the process, the firm accelerates decisions, reduces human error and prevents incorrect payouts. The platform’s outputs are already legally admissible, as demonstrated when Liablix-generated reports were presented in an Italian court.

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Built on deep expertise and advanced physics

Filippo Begani’s experience as a leading crash reconstruction specialist helped shape the platform around real industry bottlenecks. Combined with AI, physics-based simulation and 3D modelling, the startup delivers transparent, reproducible assessments that replace days of manual work.

Funding to support global expansion

The company is onboarding major insurance groups with revenues above €1 billion and now has more than 100 adjusters using its platform. The new capital will support international growth, further product development and expanded hiring across engineering and AI.

About Liablix

Liablix is an AI-powered claims analysis platform that transforms crash photos and incident details into objective 3D reconstructions. Built to reduce fraud, improve accuracy and speed up decision-making, the AI platform helps insurers replace subjective assessments with fast, reliable and science-based insights.

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