Liablix, an AI-powered insurtech platform that automates motor-claims analysis, closes a €1.2 mn pre-seed round led by DFF Ventures, with FJ Labs, Plug&Play, and a tight circle of angels jumping in.
The product turns crash photos and incident data into a 3D reconstruction that maps accident dynamics and sorts out liability with precision that human adjusters often struggle to maintain.
Anyone in claims knows how messy those judgements get, and how quickly subjective calls can skew payouts. Liablix pushes a different route – automated checks on vehicle-damage compatibility, plus alignment between declared injuries and the physics of the crash. Decisions move faster. Errors drop. Insurers avoid messy loss creep.
Italian startup Liablix, founded by Davide Castellucci, Filippo Begani, and Davide Moricoli, builds an AI platform that insurers use to analyse motor claims, spot inconsistencies, and catch fraud that drains billions from the sector each year.
According to Beinsure, the investor mix suggests early confidence in a tool that sits right at the pain point where claims costs balloon.
Liability sits at the financial spine of motor insurance workflows. Fraud twists that spine out of shape and drains between $6.8 bn and $9.3 bn a year.
Automating detection at scale is the only real way to shrink those losses, which explains why insurers pay attention when a platform promises objectivity instead of gut feel.
Begani’s long track record in crash reconstruction shapes the system’s foundation, and his experience filters straight into the software’s physics models, which is why adjusters aren’t shrugging it off as another AI gimmick.
The platform’s outputs carry legal weight too. A few months back, Begani presented AI-generated expert reports in an Italian courtroom, and the judge accepted them.
That moment didn’t solve everything, but it snapped the industry to attention. Castellucci recalls meeting Begani and immediately realising how much time gets burned in manual reconstruction – sometimes a full week for a single claim, which sounds wild but matches what adjusters tell us.
Liablix already works with global carriers posting more than €1 bn in revenue, and over 100 adjusters use the system daily.
The new funding fuels international expansion and, maybe more importantly, gives the team room to hire technical talent to push accuracy deeper.
Our goal is to innovate a highly specialized 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
CTO and co-founder Davide Moricoli
DFF Ventures’ Laurens Groenendijk says Liablix strips away a slow, error-prone workflow and replaces it with something insurers can trust when the pressure’s on.
“Liablix is bringing direct benefits to their clients’ bottom line by automating a manual, costly and lengthy process filled with human errors. Their platform brings certainty in a world that relies on human judgement,” said Laurens Groenendijk.
This funding round represents not an endpoint, but a starting point. The capital will be invested in hiring top technical talent to elevate the platform’s accuracy and reliability even further.
Analyzing a single claim typically requires around nine hours of work. With Liablix, it can be done in minutes.
