Funding

[Funding alert] London-based Cogna Secures £3.76Million in Funding

Mar 9, 2024 | By Startup Rise EU

London-based Cogna secures £3.76million in funding. Hoxton Ventures led the round, with participation from Octopus First Cheque Fund, Notion Capital, and angel investors Stan Boland (Icera founder).

London-based Cogna secures £3.76million in funding. Hoxton Ventures led the round, with participation from Octopus First Cheque Fund, Notion Capital, and angel investors Stan Boland (Icera founder).

Professor Neil Lawrence, the DeepMind Professor of Machine Learning at Cambridge, Hermann Hauser of Amadeus Capital Partners, Zayd Enam and Tim Shi, the CEO of Cresta, Ping Wu, and Aviv Nevo, Nick Elliot (Helsing).

The money will be used by the business to increase operations and development initiatives. Ben Peters and Lars Mennen founded Cogna, a SaaS platform powered by artificial intelligence (AI) that streamlines data integration between various business domains and enables domain experts to work with AI to develop custom software tools that support analysis, optimization, and decision-making that lead to improvements. Cadent Gas is one of the many companies who currently use Cogna.

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Ben Peters said: “Our aim is to democratise this technology, making hyper-customised software accessible to businesses of all sizes. We’re focussed on the businesses that really matter, those that most of us are depending on in our daily lives. Our technology is paving the way towards a more grounded, user-centric approach to problem-solving and innovation – where the users themselves become the architects of their technological solutions and their own success.”

About Cogna

AI-delivered, highly customized software that you define. They develop tailored software-as-a-service for individuals and issues in the most aspirational businesses globally. Individuals now own the power since they can make decisions at a much faster and less expensive rate thanks to Cogna.

Read also - Amsterdam-based Vini Mini Raises €500k in Seed Funding

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