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.