As banks digitize their lending processes and search to develop credit score entry throughout borders, it’s changing into more and more troublesome to make quick, correct credit score selections. To mitigate danger, lenders want real-time insights into spending habits, automated performance, and visibility right into a broader set of information, particularly as they search to enhance pace, improve the client expertise, and keep compliance.
At FinovateEurope 2026, a brand new group of fintechs will showcase how they’re addressing these challenges by bringing intelligence and automation straight into the lending course of. From sourcing various credit score knowledge to deploying AI-driven lending brokers, the businesses beneath are serving to banks and lenders modernize credit score decisioning whereas preserving danger in test.
FinovateEurope 2026 will happen at London’s InterContinental O2 on February 10 and 11. Tickets can be found now. Go to our FinovateEurope hub in the present day and save your spot!
Intuitech
Intuitech brings dwell AI brokers into lending workflows to automate handbook, time-consuming processes throughout origination and servicing. The corporate helps lenders streamline duties together with knowledge assortment, validation, and borrower interactions. This automation helps cut back operational burden whereas enhancing pace and consistency.
By embedding AI brokers straight into purchasers’ lending operations, Intuitech permits them to scale their lending exercise with out requiring further expertise in-house. The automated method helps convey fashionable credit score supply to lenders of all sizes.
Mifundo
Mifundo’s know-how permits prospects to evaluate cross-border credit score danger by sourcing and standardizing credit score knowledge from throughout European markets. The corporate helps lenders higher consider debtors with worldwide monetary histories by assess creditworthiness for cell, expatriate, and cross-border prospects. Mifundo permits banks to succeed in extra debtors, as many are underserved by conventional credit score programs and subsequently are neglected.
With distant work gaining popularity and the potential for cross-border lending rising, corporations are realizing that there’s a hole in knowledge for European credit score markets. Mifundo closes this hole by increasing entry to dependable credit score data, in the end serving to lenders reduce danger whereas unlocking new lending alternatives throughout borders.
Sea.dev
sea.dev offers real-time danger insights designed to assist lending groups make higher credit score selections throughout the mortgage lifecycle. The corporate’s platform aggregates and analyzes borrower, portfolio, and market-level knowledge to supply lenders clearer visibility into danger publicity, in the end supporting sooner approvals.
sea.dev permits lending groups to repeatedly monitor danger and adapt selections as inputs change. The corporate’s extra dynamic, insight-driven method helps lenders discover extra merchandise and serve new borrower segments.
Why banks ought to care
With extra client knowledge accessible than ever earlier than, lenders can now underwrite loans extra successfully, particularly for purchasers who had been as soon as thought-about dangerous or had restricted credit score histories. This abundance of information additionally introduces new challenges, together with inaccurate, unclean, or cross-border data that may complicate evaluation and require specialised experience. Happily, new instruments are rising to assist automate knowledge assortment, filtering, and validation. These instruments have the potential to allow lenders of all sizes to develop their attain and higher serve a broader buyer base.
Photograph by RDNE Inventory mission
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