Deepnote
Deepnote is a collaborative data workspace designed for humans and AI agents to explore data, automate insights, and make better decisions together.
At a Glance
- Data Science Teams
- Business Analysts
- Enterprise Analytics Departments
- AI Research Labs
AI Tools by Deepnote
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Deepnote
AI Collaborative Data Notebook
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Latest News
Deepnote Acquires Hyperquery to Bolster Collaborative Analytics
Deepnote Announces Open Source Core for its Data Workspace
Deepnote Integrates GPT-5 and Sonnet 4.6 for Agentic Workflows
Deepnote Named in 2024 Gartner Hype Cycle for Analytics and BI
Products & Services
A collaborative, cloud-based data science notebook that supports SQL, Python, and real-time team collaboration.
Enterprise-grade features including SSO, RBAC, and dedicated support for large organizations.
AI-powered coding assistant and agentic workflows integrated directly into the notebook environment.
Market Position
Deepnote positions itself as the collaborative and 'agentic' successor to Jupyter Notebooks, competing with platforms like Hex, Databricks, and Mode by emphasizing real-time teamwork and AI-driven automation.
Leadership
Founders
Jakub Jurových
Founder and CEO. Previously CTO at Operam and Software Engineer at Skyscanner. Forbes 30 Under 30 honoree.
Jan Matas
Co-founder and CTO. Previously a Research Engineer at Improbable and researcher in machine learning.
Filip Stollar
Co-founder and former Head of Design. Previously lead designer at Skyscanner and Improbable.
Executive Team
Jakub Jurových
Chief Executive Officer
Co-founder with a background in human-computer interaction and large-scale data systems.
Jan Matas
Chief Technology Officer
Co-founder leading the technical engineering team; formerly at Improbable.
Board of Directors
Founding Story
Jakub Jurových and his co-founders started Deepnote in 2019 to bridge the gap between simple spreadsheets and complex, siloed Jupyter notebooks. Their vision was to create a real-time, collaborative environment that makes data science accessible and productive for entire teams.
Business Model
Revenue Model
Subscription-based model with tiered pricing (SaaS) and custom enterprise contracts.
Pricing Tiers
Up to 3 editors, 5 projects, limited AI, basic machines.
Unlimited viewers, GPT-5 access, scheduled notebooks, background execution.
Advanced security, unlimited projects, higher compute power.
SSO, RBAC, private cloud options, white-glove onboarding.
Target Markets
- Data Science Teams
- Business Analysts
- Enterprise Analytics Departments
- AI Research Labs
- Data exploration
- Collaborative analysis
- Internal dashboards and apps
- AI agent development
- Educational labs
- Gusto
- ByteDance
- Discord
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