What is Deepnote?
Founded in 2019 in San Francisco, Deepnote operates as a next-generation data science notebook designed to enhance team productivity through seamless collaboration. Unlike traditional environments that prioritize raw compute, Deepnote focuses on the human-centric aspects of data science, enabling cross-functional teams to share insights, iterate on models, and integrate data workflows directly into their business processes. Its market position is defined by its ability to democratize data science, making it accessible to both technical experts and business stakeholders within large-scale enterprises.
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 Y Combinator, Index Ventures, Credoventures, and Accel
Key Investors in Deepnote
Index Ventures
A global venture firm that partners with founders from seed to IPO, known for backing generational companies like Datadog and Figma.
Accel
A premier venture capital firm that supports innovative teams through all phases of private company growth, focusing on long-term market leadership.
Credoventures
A venture capital fund specializing in early-stage investments, dedicated to supporting ambitious technical founders and fostering innovation across the CEE region.
What's next for Deepnote?
With the recent infusion of capital, Deepnote is well-positioned to scale its enterprise-grade features and expand its footprint in the competitive data science tooling market. The strategic focus will likely shift toward deepening integrations with existing enterprise data stacks and enhancing real-time collaborative capabilities to support larger, more complex organizational structures. As the demand for actionable data insights continues to surge, Deepnote's roadmap suggests a commitment to maintaining its status as the primary interface for collaborative machine learning and predictive analytics, ensuring that data science remains a team sport rather than a siloed technical endeavor.
See full Deepnote company page