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RiskSeal Partners With Credolab to Advance Alternative Credit Scoring

Combining behavioral analytics and digital footprint intelligence to help lenders make smarter, more confident credit decisions.

Artem Lalaiants
CEO @RiskSeal
RiskSeal and Credolab Partner to Strengthen Credit Risk Assessment
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Dallas, TX, October 14th, 2026 – RiskSeal, a provider of digital footprint intelligence, announces a strategic partnership with Credolab, a global leader in behavioral data analytics.

The partnership brings together two complementary sources of alternative credit data, helping financial institutions gain a more complete view of applicants and improve risk assessment.

Credolab provides behavioral scores and insights for credit risk using consented device, session, and application-interaction metadata. Its technology supports digital lending journeys through SDK and scoring integrations.

RiskSeal adds real-time digital footprint intelligence through API integration analyzing email, phone number, and IP signals from 200+ global and local platforms.

Combined, these independent data sources support stronger risk separation, earlier risk detection, and more informed lending decisions.

They complement existing credit data, models, and risk policies while respecting privacy and data protection requirements.

Artem Lalaiants, CEO and Co-Founder of RiskSeal, commented:

“We're proud to work alongside Credolab toward a shared goal: making credit more accessible without compromising risk assessment standards. By combining our expertise, we can help lenders recognize creditworthy applicants who might otherwise be overlooked, while managing risk responsibly.”

Michele Tucci, Co-Founder and Chief Strategy Officer, Credolab, commented:

“Lenders already know whether an applicant has paid before and whether they can afford to repay. What they often miss is whether that applicant intends to repay. Credolab’s behavioral intelligence answers that question, and RiskSeal’s digital footprint data adds another independent view of the same person. Combining them gives risk teams stronger score separation, so more good customers get approved and fewer non-starters get through.”

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