What is Deepnote?
Founded in San Francisco in 2019, Deepnote is redefining the data science notebook experience to make data science teams radically more productive. The company's core philosophy posits that solving complex data science and machine learning challenges requires more than just increased computational power; it necessitates a novel, collaborative notebook environment that integrates the entire organization into the data science workflow. Deepnote's platform is already utilized by prominent organizations such as Discord, Gusto, Harvard, MIT, and Stanford, highlighting its adoption and impact within leading academic and industry institutions.
How much funding has Deepnote raised?
Deepnote has raised a total of $23.8M across 2 funding rounds:
Angel/Seed
$3.8M
Series A
$20M
Angel/Seed (2020): $3.8M with participation from Index Ventures, Credoventures, YC Partners, and Accel
Series A (2022): $20M led by Index Ventures, Credoventures, Y Combinator, and Accel
Key Investors in Deepnote
Index Ventures
Index Ventures is a venture firm investing in the next generation of entrepreneurs from seed to IPO. They partner with founders with bold dreams that challenge the status quo to build enduring companies. With offices in San Francisco & London, Index Ventures invests in entrepreneurs all over the world.
Credoventures
Credo Ventures is a venture capital fund that supports ambitious founders from Central and Eastern Europe, focusing on pre-seed investments. Since 2009, they have been the fund of choice for CEE entrepreneurs, providing initial funding before product development or revenue generation.
Accel
Accel is a global venture capital firm that partners with exceptional teams from the inception of their ideas through all phases of private company growth. The firm focuses on supporting innovative companies and entrepreneurs.
What's next for Deepnote?
The recent major strategic investment signals Deepnote's transition into a scaling phase, likely focusing on expanding its market reach, enhancing platform capabilities, and further developing its collaborative features. With a foundation built on addressing the critical need for organizational integration in data science, Deepnote is well-positioned to capitalize on the growing demand for efficient and collaborative data analysis tools. Future developments may include deeper integrations with enterprise systems and advanced AI-driven features to further streamline the data science lifecycle.
See full Deepnote company page
