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Datawollet

Financial Services need accurate data before they can offer products, which eats revenue and profits: 966 million hours lost annually to manual data entry, in UK alone. Half of customers who want a product give up because it is just too painful. DataWollet unlocks the power of AI for financial services with accurate, consistent and explainable AI. No hallucinations. DataWollet can read documents with up to 100% accuracy, so you and your team don’t have to. Plus, with document validation and verification, you have peace of mind the application adds up as much as the numbers. We work with • Mortgage brokers • Credit Unions • Retail insurers • Anyone who whom accuracy, transparency and reliability are essential Our CEO experienced the impact to businesses of not having the right data first hand as COO of an Octopus backed Equity Release Mortgage startup. Completion took 2x as longer than needed and we lost opportunities due to the admin friction. Our CTO is an AI expert with a PhD in Supercomputing, is a Government adviser on the use of AI and has been working in AI and data in regulated environments for over 15 years. Together at DataWollet we have built the solution we wish had been available to us. • No integration needed. You can use DataWollet through a simple web log in. Equally, if you want to embed our tech in your platform all it takes is adding 4 lines of code. • Intuitive to use. We can help to train your team but our goal is that the solution is so simple to navigate no training is needed. • Simple, low-cost pricing. With a low monthly platform fee and then consumption-based charge you pay for what you use. How do we manage such high accuracy? Our proprietary non-generative AI is much more efficient to run than other solutions running off commercial LLMs, and we pass on that saving to you. Using DataWollet means • Saving ~1 hour per mortgage application • Reduced risk to being subject to fraud or manual error • Happier teams • Delighted customers

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HeadquartersCardiff, United KingdomEmployees6(1 to 10)LinkedIn profileLinkedIn

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