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INTELLIGENT

CLAIMS

HANDLING

 

WHAT WE DO

Our clients process lots of legal claims, insurance claims and customer complaints. But when a new claim arrives, it’s hard to know whether to settle or contest, and how much to spend in the process.

At the moment, a person has to read through the papers and come to a view. Slow or wrong decisions increase the risk of losing customers and getting bad publicity. So UK companies spend 16 millions hours doing this every year.


Sibyl instantly predicts claim outcomes using cutting edge artificial intelligence. Clients can settle claims that are likely to succeed or low in value, and let their best people concentrate on high-value marginal cases. This improves speed of service, provides extra quality assurance and eases operational pressure.

 

HOW SIBYL WORKS

SEAMLESS

Sibyl can read from a range of file types at low resolution, including word, pdf and jpeg. Simply drag and drop the initial claim documents, complete some basic fields and press go to get your prediction.

INTELLIGENT

Use Sibyl's predictions to make quick and cost-effective decisions about which claims to contest, which claims to settle and how much to pay.

AUDITABLE

Set claim handling strategies, track claim handling costs over time and optimise performance by reviewing new strategies against historic claims.

 
Justice

OUR STORY

The team met at the Online Courts Hackathon organised by HM Courts and Tribunals, Legal Geek and the Society for Computers and Law. There were 200 participants, including teams from top law firms and tech companies. But we won the award for Coolest Tech. 


Sibyl was born from this effort to make the justice system work better. As more organisations use our technology, people with good claims will get a remedy faster, avoiding long and stressful handling processes or protracted litigation. On the other hand, people with bad claims will find it harder to sneak under the radar, as even low value claims will face challenge where warranted. Everyone stands to benefit from these efficiencies.

 

THE SIBYL TEAM

RICHARD STRAUSS

Head of Legal 
& Co-Founder

Richard trained as a lawyer in an international City firm, before moving to the Government Legal Department.

NIKUL VADGAMA

Head of BizDev
& Co-founder

Nikul is a doctoral candidate in engineering at the University of Oxford. He has experience in the investment research industry.

SIVO DASKALOV

Head of Technology
& Co-founder

Sivo is a doctoral candidate in machine learning, based in Bulgaria.

SNEJI YANAKIEVA

Developer

Sneji has a Master’s in computer science, and has worked on a predictive portfolio management system.

 

IN THE PRESS

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GET IN TOUCH

London, UK