Credolab partners with FICO on behavioural credit intelligence

By Milan Rojan

Credolab has partnered with FICO to make its behavioural risk scoring, fraud detection and alternative credit intelligence available through the FICO Marketplace for financial institutions and FinTechs globally.

The partnership has listed Credolab as an official FICO Marketplace provider across the Data & Intelligence and Fraud & Threat Intelligence categories. FICO Platform clients have gained access to Credolab’s behavioural intelligence within existing workflows covering model development, strategy design and risk decisioning.

Credolab has said its technology has provided additional behavioural signals alongside traditional credit data, helping lenders assess consumers with limited or insufficient bureau histories. The solution has also supported the identification of bots, device farms and synthetic identities earlier in the customer onboarding process.

Michele Tucci, Co-Founder and Chief Strategy Officer at Credolab, said: “Behavioural risk intelligence is quickly becoming its own category in credit decisioning,” adding that FICO’s platform has provided an opportunity to scale the technology globally.

Credolab has positioned its behavioural intelligence as a complementary layer to existing bureau data, fraud tools and risk models. The company has said the technology has been designed to support financial inclusion, improve risk differentiation and reduce credit losses through alternative behavioural signals.

Jason Andrew, Chief Revenue Officer at FICO, has said Credolab has addressed a challenge in assessing applicants who have limited visibility in traditional credit bureau data. He has added that behavioural intelligence has become increasingly important in markets where alternative data has supported responsible credit access.

FICO Marketplace has provided customers with access to pre-vetted data services, analytics and AI models within FICO Platform. The marketplace has also enabled clients to test third-party data services and APIs as they have developed new credit and fraud use cases.

The partnership has expanded the availability of alternative credit intelligence as lenders have increasingly adopted behavioural and non-traditional data to strengthen automated decisioning.