Deepnote, a San Francisco, CA-based collaborative data science notebook, raised $20m in Series A funding.
The round was co-led by Index Ventures and Accel, with participation from Y Combinator and Credo Ventures and existing investors OpenAI’s Greg Brockman, Figma’s Dylan Field, Elad Gil, Naval Ravikant, Daniel Gross, and Lachy Groom.
The company intends to use the funds to expand its presence among data science communities, with plans to double the team to 50 employees in the next 12 months.
Co-founded by Jakub Jurovych, Jan Matas, and Filip Stollar, Deepnote is a new kind of data science notebook that makes data science teams more productive to solve the hardest problems in data science and machine learning, adding more compute power wouldn’t cut it. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and share and present the polished assets to end users.
Customers include users at Discord, Gusto, Harvard, MIT, Stanford and more.
Deepnote is remote-first, with its HQ in San Francisco.
FinSMEs
31/01/2022