MindsDB is a fast-growing open-source infrastructure company that enables developers to quickly integrate machine learning into applications. Connect any data source with any ML framework easily, all in one place. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and is backed with over $24M in funding from leading VC's Benchmark Capital, YCombinator, Walden Catalyst Ventures, OpenOcean (the venture fund launched by the creators of MySQL and MariaDB) SpeedInvest, MMC and the University of California Berkeley SkyDeck fund. MindsDB is also a graduate of YCombinator's Winter 2020 batch and was recently recognised as one of America's most promising AI companies by Forbes.
How did we get here?
Back in 2009, while studying in Australia, Adam (studying Finance) and Jorge (studying Computer Science) became great friends. Years went by, Adam went to the UK to take up a Researcher position at the Cambridge University Judge Business School before becoming a Management Consultant with Deloitte. Jorge joined Couchsurfing.com and Skillshare before becoming a visiting academic at UC Berkeley. But the pair still wanted to build something together. And so, in 2017 Adam Carrigan (now COO) and Jorge Torres (now CEO) founded MindsDB, a proudly Open Source company with a mission to democratize Machine Learning.
Where are we now?
Adam and Jorge are proud of the team they have built - a fully remote, international company with team members based in the US, UK, Colombia, North Macedonia, Romania, New Zealand, Germany, Chile, Canada, Ukraine, Russia and Egypt.
Interested in joining our mission? Learn more about life at MindsDB and openings.
“We believe MindsDB can quickly establish a position as the leading solution for developers out there wanting to use ML/AI to include fascinating capabilities in their applications.”
Patrik Backma,
Partner at
“We are proud to be early supporters of MindsDB in their journey to democratize AI. There are multiple hurdles to mass adoption of AI, and MindsDB is efficiently solving a number of them: from privacy to explainability and ease of use. Their open-source software model provides the necessary transparency and flexibility to any software developer willing to experiment with AI.”
-Alex Zhigarev,
Partner at
“Their approach will fundamentally democratize machine learning for a broad set of users and use cases.”
-Chon Tang, Fund Manager at
We are backed by some of the biggest names in Venture Capital and Open Source
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