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Financial intelligence
Machine learning applied to the data connected finance produces: categorisation, affordability, risk and financial health.
Learn moreA specialist financial-technology consultancy. Open Banking, financial data, digital identity and applied machine learning, since 2014.
01 Expertise
We work where Open Banking, financial data, digital identity and machine learning meet. Each discipline is delivered by senior engineers who have shipped it in production.
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Machine learning applied to the data connected finance produces: categorisation, affordability, risk and financial health.
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Open Banking, Open Finance and payments infrastructure, from the API surface to the consent model behind it.
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The authentication, authorisation and security profiles that make financial data sharing safe.
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Cloud-native architecture and senior engineering leadership: the foundation the other three stand on.
Learn more02 Heritage
Webovate's founder was part of the Open Banking Implementation Entity's technical team from the early years of the programme, leading the conformance product every CMA9 bank was tested against. Every platform we have built since stands on that foundation.
2014
Webovate Ltd is founded on fourteen years of industry experience in payments, digital identity and platform engineering: from building early online payment gateways and PCI DSS-compliant systems to cloud platforms serving millions of users for Samsung, HTC and the NHS.
2015
Technical lead on CTZN with Gencia Media: a youth social-impact platform trialled by more than 120 organisations across Greater Manchester and recognised with awards including Digital Entrepreneur of the Year.
2016
Consultant architect to DigitalBridge, an award-winning computer-vision and machine-learning company building room visualisation tools for retailers. Webovate was contracted as the second engineer in the business and for a period the only one, designing the API and cloud architecture through a growth phase that included a John Lewis accelerator win and NVIDIA’s most innovative machine-learning start-up award, before the company grew an engineering team of its own.
2017
In 2017, within months of the Read/Write standard’s first release, Webovate built one of the first Python connectors for it. Unknown to Webovate, it was already in use by the first team helping the Open Banking Implementation Entity get started, the body set up by the banks to deliver the standard. In December 2017 the manager running that team invited Webovate to interview, and the company joined as a consultant: first in support, then quickly into the architecture team working on the Read/Write APIs, and from there to leading conformance tooling for the CMA9.
2018
Webovate leads the OBIE conformance product for the CMA9: ownership and delivery of the tools that tested all nine mandated banks against the standard as it moved through the 3.1.x releases, with workshops every two weeks in London with Barclays, HSBC, Lloyds Banking Group, NatWest, Santander, Nationwide, Danske Bank, AIB and Bank of Ireland, plus the reference applications and certification programme.
2020
After the OBIE work, Webovate is contracted by Ozone API for a short full-time engagement, delivering the platform’s first payment integrations, beginning with Stripe, and the architecture for an international open banking rollout in the Middle East.
2021
Webovate is engaged as AperiData’s engineering partner and Open Banking specialist from the company’s foundation, before it held any permissions: the platform that supported FCA authorisation as an account information service provider and, as the business grew into a real-time credit bureau, everything underneath it: Open Banking connectivity, the categorisation engine, income and expenditure modelling and affordability analysis.
2024
The categorisation and affordability work matures into production decisioning across the lending lifecycle. PayPoint makes a strategic investment in AperiData.
2026
PayPoint completes its acquisition of AperiData, and the platform and categorisation engine Webovate was engaged to build now serve a listed payments group. Commercial variable recurring payments go live in the UK and the FCA sets out its Open Finance roadmap. Working with AperiData, Webovate begins applying language models to categorised financial data.
Today
Continuing as AperiData’s engineering partner, now within the PayPoint Group, on categorisation and financial-health intelligence; Open Finance and Smart Data readiness for clients; and the Lab: financial health from consented data, Open Banking for accountancy, and machine learning for rider safety.
03 Work
Two of eight engagements that show how the disciplines combine, from national conformance to a credit bureau built on Open Banking data.
04 Experience
Where that work has reached
Recommendations for work delivered through Webovate
His role grew from Implementation Consultant to Product Owner delivering the conformance tools for ASPSPs’ security and functional standards required for CMA Order and PSD2 regulatory sign-off, and later to API Architect helping define the technical API standard with industry stakeholders. He is quite an Open Banking authority both in the UK and globally.
Glyn worked as both the Product Owner and the Technical Delivery Lead on the Reference Applications and Certifications. He proved highly capable from a business perspective, working across Open Banking with the large banks and the fintechs, and extremely technically competent in managing a team of developers.
05 Direction
Open Banking started as a competition remedy and became the template for consented data sharing worldwide: Open Finance, Smart Data, digital identity. The next step is intelligence. We apply machine learning and AI to that data to understand people and businesses properly, and we think that is the most useful thing a financial-technology engineer can do right now.
The Data (Use and Access) Act 2025 created the framework for smart data schemes beyond banking, and the FCA has set out open finance as a priority. The patterns are familiar to anyone who implemented Open Banking: directories, consent, security profiles, conformance. We have done that work once already.
Consented transaction data describes a household or a business far more accurately than a bureau score, but only once a machine can read it. Categorisation, income and expenditure modelling and affordability analysis are where we have spent the last five years, and where we see the most value for lenders, advisers and the people they serve.
Commercial variable recurring payments went live in 2026. Recurring, consented account-to-account payments change the economics of collections and subscriptions, and they need careful integration with consent and risk controls.
Language models and agents can now reason over a categorised financial history, explain it, and act on it with consent. We are building towards that carefully: analysis and evaluation first, decision support second, always with the identity, consent and audit controls that regulated use demands.
Tell us what your project is and where it is stuck. We will always try to help.
hello [at] webovate [dot] co [dot] uk How to get in touch