Creem, the AI Startup Financial OS, Secures €1.8M to Revolutionise Fintech
Estonian fintech innovator Creem, co-founded by South African entrepreneur Alec Erasmus, has successfully raised €1.8 million in pre-seed funding. This significant investment is earmarked for the development of a cutting-edge programmable financial operating system tailored specifically for the burgeoning sector of AI-native companies, aiming to provide them with the robust infrastructure needed to thrive.
The Rapid Ascent of Creem: Powering the Next Generation of AI Ventures
The pre-seed funding round saw leadership from Practica Capital, with additional strategic backing from Antler and a distinguished cohort of angel investors. This group includes notable figures such as Johan Pietilä, Martin Olofsson, and advisors affiliated with global financial powerhouses Revolut and Crypto.com, underscoring strong confidence in Creem’s vision. Launched a mere 10 months ago by Erasmus and Brazil-born co-founder Gabriel Ferraz, Creem has already demonstrated remarkable traction. The company boasts an impressive annualized revenue exceeding €930,000, a feat achieved solely by its two founders and without the aid of a dedicated sales team. Creem’s innovative platform directly addresses the unique challenges faced by lean, globally distributed startups operating with AI-native workflows. It offers a suite of programmable financial tools designed to streamline global payments, automate revenue processes, and ensure seamless tax and compliance management. As Gabriel Ferraz, Creem’s CEO, aptly notes, “AI is blowing open the doors of entrepreneurship, but the financial infrastructure hasn’t caught up.” This highlights the critical gap Creem aims to fill for these agile, technologically advanced enterprises.
With its strategic funding and a proven track record of rapid growth, Creem is poised to become an indispensable financial operating system for the AI startup ecosystem. By providing advanced, programmable tools for global financial management, Creem empowers AI-native companies, many of which are small, globally distributed teams, to focus on innovation while their complex financial operations are expertly managed.
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