Deepnote
Deepnote provides an AI-enabled collaborative data science notebook platform built as a cloud successor to Jupyter. It serves data scientists, analysts, and ML engineers at companies across fintech, biotech, gaming, and enterprise, offering Python/SQL/R workflows with AI agents and 80+ data integrations.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Deepnote does
Deepnote is a San Francisco-based private company founded in 2019 that provides an AI-enabled collaborative data science notebook platform positioned as a successor to Jupyter. The platform supports Python, SQL, and R in a unified cloud workspace with real-time multiplayer editing, version history, code review, and GPU-backed compute (including K80 and V100 serverless instances with auto-shutdown). Differentiated features include Deepnote AI for natural-language code generation and explanation, Deepnote Agent for autonomous multi-step data workflows (query, train, deploy, visualize), Deepnote MCP for invocation by external AI assistants such as Claude, and native integrations with 80+ data sources spanning Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, MongoDB, dbt, Spark, and Hugging Face.
Revenue mechanics come from a tiered subscription model (Free, Pro, Team, Enterprise) plus usage-based charges for additional compute hours, with a separate free Education plan for students and researchers. The go-to-market combines product-led self-serve (sign-up and start at deepnote.com) with a field sales motion for Enterprise contracts requiring SSO, audit logging, SOC 2 Type II, HIPAA, GDPR, and CCPA compliance, and with community-led acquisition via adoption at 96 of the top 100 universities. The company is trusted by over 500,000 data professionals and named customers including SoundCloud, Gusto, MoneyLion, Floryn, Homa, Papaya, VantAI, OmicVision, and Statsig.
The company has raised approximately $23.8 million in disclosed funding (a $3.8M round in February 2020 followed by a $20M Series A in January 2022 led by Index Ventures and Accel, with Y Combinator and Credo Ventures participating), acquired Hyperquery in July 2024, and transitioned its notebook format to Apache 2.0 open source in November 2025. Backed by Index Ventures, Accel, Y Combinator, and Credo Ventures, Deepnote is led by founder and CEO Jakub Jurovych and operates with an 11–50 person team.
Deepnote firmographics
Firmographics- Name
- Deepnote
- Legal name
- Deepnote
- Website
- https://deepnote.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Deepnote provides an AI-enabled collaborative data science notebook platform built as a cloud successor to Jupyter. It serves data scientists, analysts, and ML engineers at companies across fintech, biotech, gaming, and enterprise, offering Python/SQL/R workflows with AI agents and 80+ data integrations.
- Ownership category
- akta.pro rank
Deepnote industry classification
Industry- Product category
- Data Science Notebooks
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Where Deepnote is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Deepnote business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription Plans: Tiered subscription model with plans for individuals, teams, and enterprises. Pricing based on features, compute resources, and team size. Includes free tier for individual use and free Education plan for students and educators.
- Additional Compute Hours: Additional machine hours available for purchase beyond plan allocations, enabling users to scale compute resources as needed for intensive workloads.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free plan for individual users and hobbyists |
| Subscription | Monthly | Pro plan with AI features and enhanced capabilities |
| Subscription | Monthly | Team plan for collaborative teams |
| Subscription | Annual | Enterprise plan for large organizations |
| Freemium | Monthly | Education plan - 100% free for students, teachers, researchers |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels11 records
Deepnote product offering
Product offeringCore offering
Deepnote is a cloud-hosted collaborative data science notebook platform that combines Python, SQL, and R in a Jupyter-compatible environment with real-time multiplayer editing, AI-assisted code generation, and built-in data app publishing. The platform serves data scientists, analysts, and ML engineers with native integrations to 80+ data sources, serverless GPU compute, semantic layer modules, scheduling, and enterprise-grade security (SOC 2, HIPAA, GDPR). Deepnote transitioned to open source under the Apache 2.0 license in November 2025.
Product overview
Deepnote is a unified AI-powered data workspace platform combining collaborative notebooks (based on Jupyter), data apps, ETL pipelines, machine learning capabilities, and enterprise features. The core product is the Deepnote notebook platform supporting Python, SQL, and visual blocks. Key modules include Deepnote AI for code generation and editing, Deepnote Agent for autonomous workflows, Deepnote MCP for AI assistant integration, Data Apps for interactive dashboards, ETL/ELT Pipelines for data transformation, and the Semantic Layer for consistent metrics. Additional modules cover Spark integration, ML training/deployment/monitoring, Scheduling, Version History, Code Reviews, and Audit Logging. The platform offers 100+ native data integrations with warehouses (Snowflake, BigQuery, Redshift, Databricks), databases (PostgreSQL, MySQL, MongoDB), and tools (dbt, Spark, GitHub, Slack). Pricing tiers include Free, Pro, Team, Enterprise, and free Education plan for academic institutions.
Differentiator
Problem solved
Functional benefit
Products and services
- Deepnote Cloud-hosted collaborative data science notebook platform unifying Python, SQL, and R with real-time multiplayer editing, Deepnote AI code generation, Deepnote Agent autonomous workflows, Deepnote MCP AI assistant integration, 80+ data source integrations, serverless GPU compute, semantic layer modules, data apps, and enterprise security (SOC 2 Type II, HIPAA, GDPR, CCPA). Sold via Free, Pro, Team, and Enterprise subscription tiers plus a free Education plan.
- Deepnote Open Source Open source edition of the Deepnote collaborative notebook platform released under the Apache 2.0 license in November 2025. Enables self-hosted deployment of the Jupyter-compatible notebook environment with AI features, real-time collaboration, and integration capabilities.
Quantifiable outcome
- 3x faster time to insight and value for customers
- +3 more outcomes
Companies that use Deepnote
Customer profileNamed customers28 records
Segments6 records
Ideal customer profiles3 records
Deepnote technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration53 records
AI capability11 records
Feature11 records
Deepnote partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core.
- OpenAIcoreDeepnote AI utilizes OpenAI's generative AI technology for code generation, editing, and explanation features. Deepnote AI is powered by providers such as OpenAI.
- AnthropiccoreDeepnote supports Anthropic's Claude models and has integrated with Claude Opus 4.6 for internal testing workflows. Deepnote MCP enables integration with Anthropic's AI assistants.
- Hugging FacecoreDeepnote supports pre-trained models from Hugging Face including BERT, GPT, LLaMA and other architectures. Users can deploy Hugging Face models directly in Deepnote notebooks.
- SnowflakecoreDeepnote provides native integration with Snowflake data warehouse. Supports key-pair authentication, OAuth, Azure AD, and Okta SSO for secure Snowflake connections.
- Google BigQuerycoreDeepnote provides native integration with Google BigQuery. Supports Google OAuth for authentication.
- Amazon RedshiftcoreDeepnote provides native integration with Amazon Redshift data warehouse.
- DatabrickscoreDeepnote integrates with Databricks via Databricks Connect for querying Databricks lakehouse using SQL from within notebooks.
- PostgreSQLcoreDeepnote provides native integration with PostgreSQL database for direct querying and data manipulation.
- MongoDBcoreDeepnote provides native integration with MongoDB for NoSQL data access and analysis.
- GitHubcoreDeepnote integrates with GitHub for version control, allowing teams to push and pull notebooks directly from GitHub repositories.
- dbt (Data Build Tool)coreDeepnote supports dbt for data transformations. Users can run dbt models and browse metrics alongside warehouse schema using Jinja in SQL blocks.
- Apache SparkcoreDeepnote supports Apache Spark via Spark Connect for large-scale data processing. Supports AWS EMR, GCP Dataproc, Azure HDInsight, and Databricks clusters.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
Deepnote competitors and assessment
Company assessmentDirect peers
- Hex: Hex is a collaborative AI-powered data workspace for notebooks, data apps, and analytics, directly competing with Deepnote in the same product category, targeting the same data professional and analytics engineer buyers, and offering a comparable mix of SQL, Python, and AI-driven workflows.
- Mode: Mode is a collaborative analytics platform combining SQL notebooks, Python, and data apps for analytics teams. It is a direct competitor to Deepnote's collaborative notebook and data-app workflow and is frequently compared head-to-head.
- Observable: Observable is a collaborative data notebook platform emphasizing reactive JavaScript-based data exploration, dashboards, and apps. It competes for the same data analyst audience with a similar collaborative-notebook-plus-app model.
- Google Colab: Google Colab is a free Jupyter-compatible cloud notebook environment with GPU support and broad data science adoption, directly competing for individual and academic Deepnote users and serving as a baseline free alternative.
- Jupyter: Jupyter is the open-source notebook project Deepnote explicitly positions itself as a successor to. It remains the default notebook environment and the foundation Deepnote extends with collaboration, AI, and cloud compute.
Broad incumbents
- Databricks Notebooks: Databricks bundles collaborative Python, SQL, and R notebooks inside its lakehouse platform with deep ML and Spark integration. It competes with Deepnote as part of a much broader data and AI platform rather than as a standalone notebook specialist.
- Snowflake Notebooks: Snowflake has added Python and SQL notebooks natively inside its data cloud, directly competing with Deepnote's SQL+Python workflow but as a feature of a much larger data warehouse platform with strong enterprise distribution.
- AWS SageMaker: AWS SageMaker provides hosted Jupyter notebooks for ML development integrated with AWS data and ML services. It competes with Deepnote's notebook + GPU + ML training/deployment workflow as part of a broad enterprise cloud ML platform.
- Google Vertex AI Workbench: Vertex AI Workbench offers managed Jupyter notebooks and ML workflows tightly integrated with BigQuery and Google Cloud AI services. It competes with Deepnote for enterprise AI/ML workloads and is explicitly listed as a comparison page on Deepnote's site.
Emerging players
- Noteable: Noteable is a collaborative notebook platform that combines SQL, Python, and data apps with a focus on team analytics. It overlaps with Deepnote in collaborative notebook and dashboard functionality for the same data team buyer, though with narrower enterprise distribution.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Deepnote social profiles
Digital presenceDeepnote compliance and trust
Trust signalCompliance4 records
Deepnote financial estimates
Financial estimateRevenue estimate
Valuation estimate
Deepnote leadership team
Management profileNumber of profiles
Profiles1 record
Deepnote funding detail
Funding detailFunding overview
Funding rounds2 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Deepnote M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Deepnote
What does Deepnote do?
Deepnote is a cloud-hosted collaborative data science notebook platform that combines Python, SQL, and R in a Jupyter-compatible environment with real-time multiplayer editing, AI-assisted code generation, and built-in data app publishing. The platform serves data scientists, analysts, and ML engineers with native integrations to 80+ data sources, serverless GPU compute, semantic layer modules, scheduling, and enterprise-grade security (SOC 2, HIPAA, GDPR). Deepnote transitioned to open source under the Apache 2.0 license in November 2025.
Is Deepnote a public or private company?
Deepnote is a private company. It is classified as venture growth investor backed and is currently operating.
When was Deepnote founded?
Deepnote was founded in 2019. It employs 11 to 50 people.
Where is Deepnote based?
Deepnote is headquartered in San Francisco, United States, in the North America region.
How does Deepnote make money?
Two revenue lines are on record. Subscription Plans are the primary driver. The others are additional Compute Hours.
Who are Deepnote's main competitors?
Direct peers on record are Hex, Mode, Observable, Google Colab and Jupyter. Broad incumbents are Databricks Notebooks, Snowflake Notebooks, AWS SageMaker and Google Vertex AI Workbench. Noteable is listed as an emerging player.
Does Deepnote have an API?
Yes. Deepnote provides a Public API v2 for executing notebooks with parameters, detached execution for API runs, parallel execution of multiple API runs with different inputs, and new endpoints for fetching run status and results. Also offers Deepnote MCP (Model Context Protocol) for integration with AI assistants like Claude. Developer documentation is at deepnote.com/docs/deepnote-api.
What industry is Deepnote in?
Deepnote's product category is Data Science Notebooks. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites. Its NAICS code is 54151 and its SIC code is 7372.