# Deepnote

Deepnote is an other based in San Francisco, United States.

## Overview

- **Organization type:** other
- **Headquarters:** San Francisco, United States
- **Region:** North America
- **Address:** San Francisco, United States
- **Assets under management:** Undisclosed
- **Website:** deepnote.com

## Regulatory record

- **Reports private funds:** No

## About

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

## Sectors

- Enterprise Software
- AI/ML

## People

- Lior Alexander — CEO
- Maximilian Strauss — Co‑founder & CTO

## Questions

### Is Deepnote an open-source project or a commercial SaaS tool?

Both. The kernel is released under an Apache 2.0 open-source license, allowing self-hosted deployments. Deepnote also operates a commercial cloud platform with enterprise features like role-based access control, SSO, and directory sync, generating revenue from teams that prefer the managed version.

### How does Deepnote’s AI assistant differ from generic copilot tools?

Deepnote’s AI is context-aware against a team’s connected data stack — it can generate, refactor, and debug SQL or Python code while understanding the schema of linked warehouses like BigQuery and Snowflake. The assistant also interprets query results, letting a user describe a business question in plain language and receive a fully rendered analysis.

### What does ‘multiplayer mode’ mean in a data notebook?

Rather than emailing static .ipynb files, teammates can comment on cells, review changes, and version notebooks inside the same workspace. A product manager can open a data scientist’s notebook, filter a dashboard, and share a live link — keeping analysis, feedback, and business decisions in a single environment.

### Does Deepnote compete with Jupyter, Hex, or Databricks?

It competes most directly with Jupyter’s single-user workflow and with collaborative notebook startups like Hex. Unlike Databricks, Deepnote is notebook-native and does not position itself as a data lakehouse platform, though it can connect to Spark and Snowpark runtimes when teams need heavier compute.

## Related profiles

- [Edge One Capital](https://altss.com/profile/edge-one-capital)

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Last updated: 2026-06-03T20:00:00.000Z

Canonical page: https://altss.com/profile/deepnote

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