What it sells
A better data science notebook.
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of data/analytics teams and engineering leaders at startups through enterprise.
Trigger: what makes them buy now?
UnverifiedNeed collaborative notebooks that also ship dashboards and data apps and work with AI agents; replacing Jupyter/Colab setups.
Workflow: what inputs become what output?
Explore data in Python/SQL notebooks with Deepnote AI, schedule notebooks, publish dashboards and data apps, connect warehouses, run ETL, train and serve models.
Economics: what it saves and how it charges
Per-editor seat subscription with included AI credits and compute (Team: $39 AI credits, $280 CPU, $50 GPU monthly); enterprise custom.
Distribution: how it reaches customers
Self-serve free plan and 14-day trial, enterprise sales/demo, comparison pages, claims 600,000+ data pros.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2019 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.