The first investment from our EIS fund: DataWollet
We’re delighted to announce that the first investment from our EIS Fund is into DataWollet based in Cardiff. Founded by ex banker and former Army Captain Jen Lothian and AI innovator Dr Luke Hope, their tech transforms how regulated businesses access and use customer data. Its logic-based AI extracts and structures information from documents, emails, and web pages with 100% accuracy: no hallucinations, no uncertainty, and full explainability. DataWollet solves the pain and inefficiency of customer onboarding, product sales, affordability checks and compliance processes, turning hours of manual data entry into seconds of verified insight.
Their £1m oversubscribed pre-seed round was led by financial services experts 1818 Venture Capital, with participation from several individual Angel Academe angels, as well as our EIS Fund. Ben Lloyd, Partner at 1818 VC, says: “We backed DataWollet because their explainable, zero-hallucination AI solves a clear and pressing problem for regulated firms. Jen and Luke are outstanding operators and we’re delighted to support them at this early stage.”
Charlotte Sadd, Angel Academe’s deal team lead and subject matter expert, says: "We've been hugely impressed with Jen's professionalism and drive throughout our dealings with her. DataWollet has the potential to be a genuinely groundbreaking service and it’s a very well-deserved first investment from the fund!"
Jen Lothian says: "It’s felt like a real partnership throughout the journey with Angel Academe: from our first pitch, through extensive and constructive DD with their angels, and now onto investment. They’ve been pivotal in helping us to secure our over subscribed round and we’re thrilled to be the first company supported by investment from their ground EIS fund."
The Angel Academe EIS Fund 1 is the first EIS fund focussed on female founders, backed by the UK’s leading female-focussed angel network and run in partnership with SyndicateRoom, experienced and FCA regulated fund managers.