Desia secures $3.3M pre-seed led by Dig Ventures

Venture
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September 24, 2024
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2 MIN READ
Sofya Zhamoitina
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Venture Reporter

Desia is a system of intelligence providing advanced AI applications for productivity, automation and analytics for financial services, has secured $3.3 million in pre-seed funding led by Dig Ventures.

In addition to Dig Ventures, leading VCs participated in the round, including 2100 Ventures, Vento by Exor Ventures, Octopus Ventures, Foreword Ventures, Plug & Play Ventures, and LaunchBay Capital. A group of angel investors joined the round, including Niccolo Maisto, Founder of FaceIT, Mark Ransford, Senior Advisor at CVC Capital Partners, and Massimo della Ragione, former Partner at Goldman Sachs.

The newly acquired capital will support Desia's ongoing development and expansion as the company aims to revolutionize the financial investment sector.

While other parts of the financial industry have made technological strides, investment professionals still rely on manual processes to sift through vast amounts of unstructured data. This not only slows productivity but also incurs high costs.

Desia leverages AI to automatically gather and analyze data on potential investments, drastically cutting down the time and effort investment professionals typically spend on manual data analysis.

The platform is already gaining traction, with users across the UK, the US, and Continental Europe. Desia’s long-term goal is to reshape the financial services industry, using AI to automate data analysis for more informed decision-making.

Raffaele Terrone, co-founder and CEO said, “I recall regularly sifting through data and information until the early hours during my time at Goldman Sachs in order to make fully informed decisions and strategies. With Desia the whole process would have been more efficient and successful. I wish it was available back then. This initial funding round is a major step towards developing the system for more structured and complex investment analyses.”

Image credit: desia's linkedin

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