This article covers Digilytics, a London-based fintech startup, which has secured £2.5m in growth capital from Maven Capital Partners’ Venture Capital Trusts. The funding is intended to advance its AI-powered document automation for mortgage, asset and SME finance lenders, supporting faster underwriting, lower operational costs and improved compliance.
Digilytics, a London-based fintech startup, has secured fresh growth capital to further develop its AI-powered document automation for lenders. The company’s software targets time-consuming, document-heavy lending workflows in mortgages, asset and SME finance — an area where manual data extraction still drives costs, slows decisions and increases compliance risk.
Lending remains one of the most document-intensive parts of financial services. Loan files come in mixed formats and variable quality, leaving many lenders reliant on manual checks and rekeying. That creates operational cost pressure and audit exposure, particularly as regulatory scrutiny of lending decisions and data handling tightens across the UK and US.
Digilytics’ proposition — automated extraction and validation of borrower and loan information — aims to reduce routine friction in underwriting and servicing. If it works at scale, the technology could trim operational costs, speed decisions for borrowers and reduce human error in compliance processes.
Digilytics’ core product, RevEL, combines multi-modal models and GenAI techniques to identify, extract and validate information from diverse document types. The platform uses AI agents to process unstructured inputs such as scanned forms, PDFs and emailed documents, then maps that data into lenders’ originating systems.
The company positions RevEL as integratable with existing loan origination and case management systems, emphasising a plug-and-play model that focuses on document-heavy loan types. Digilytics says it is seeing demand from both UK and US lenders and is expanding coverage to additional loan types and lending processes.
Maven Capital Partners’ Venture Capital Trusts provided the funding round. The investment will be used to advance Digilytics’ product — supporting more loan types and further development of its AI capabilities — and to accelerate geographic expansion and go-to-market activity with tier-one clients.
In the announcement, Luke Matthews, Partner at Maven, said:
We see strong potential in Digilytics and its plug-and-play AI technology, which is solving critical pain points for lenders and is readily transferable to adjacent verticals. Designed to integrate seamlessly with existing loan origination and case management systems, the technology offers a value-driven solution that’s already demonstrating scalability through rapid ARR growth and low customer churn. Arindom brings deep financial services expertise and a clear understanding of how to serve large, highly regulated organisations, positioning Digilytics as a standout operator in a market ripe for transformation.
Advisory and support on the transaction included:
Due diligence providers for Maven:
If you're researching potential backers in this space:
Digilytics was founded by Arindom Basu, who brings more than 30 years’ experience in financial services from senior roles at Accenture and Infosys. The company focuses on the mortgage, asset and SME finance segments where document volumes and diversity pose persistent operational challenges.
In the announcement, Arindom Basu, Founder and CEO at Digilytics, said:
At Digilytics, our mission is to enable intelligence and foster growth. We’re proud to be building a values-first firm that leverages disruptive technology to solve real business problems and deliver profitable outcomes for our clients. We see a big benefit of an institutional capital provider supporting Digilytics. Maven provided a very strong understanding of how to leverage AI technology in financial services in order to enhance the value created by Digilytics. Luke understood our business from the very beginning which gave us the confidence to enter into this long-term partnership.
The deal underlines continued investor interest in automation and GenAI applied to regulated financial processes. Document automation is a crowded but pragmatic niche: incumbent banks and newer lenders alike are seeking ways to cut operating expense while meeting compliance demands. For UK fintechs pursuing the US market, the challenge remains balancing product localisation and regulatory differences with the speed of AI model development.
The funding also highlights the role of UK venture channels in seeding later-stage product expansion. As lenders increasingly pilot GenAI tools, expect more targeted investments in companies that can demonstrate reliable accuracy, traceability and integration with existing lending systems.
Click here for a full list of 7,526+ startup investors in the UK