Count

Data Science Notebooks

Count is a collaborative analytics platform that combines SQL, Python, and AI-assisted analysis in a browser-based notebook environment.

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A browser-based platform where data teams write SQL and Python, build charts, and share live analysis documents with colleagues.

Count is a collaborative analytics platform that combines SQL, Python, and AI-assisted analysis in a browser-based notebook environment. Founded in 2020 by Ben Fields and James Mayfield, the company targets data teams who want to move beyond static dashboards toward iterative, shareable analysis workflows. The product lets users write SQL and Python queries, visualize results, and annotate findings in a single document that can be shared with stakeholders.

Count has raised a total of $22.5 million, including a $15 million Series A led by Accel in 2022 and a $7.5 million seed round from LocalGlobe and others. The company does not disclose revenue or headcount publicly. Its customer list includes Accenture, Bumble, Cleo, Docebo, Insurello, JustPark, and Kit.

Count competes with tools like Hex, Mode, and Deepnote in the collaborative analytics space. As of mid-2025, the company is focused on integrating AI features—such as natural-language querying and automated insight generation—to differentiate from incumbents. The platform is used by data analysts, data scientists, and business intelligence teams across mid-market and enterprise organizations.

Count's G2 rating is 4.8 out of 5 stars, based on user reviews. The company has not reported any major controversies or leadership departures publicly. Its main challenge is standing out in a crowded market where larger vendors like Databricks and Snowflake are adding similar collaborative features.

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Who buys this

  • Data analysts and data scientists at mid-market and enterprise companies
  • Business intelligence teams that need to share ad-hoc analysis with non-technical stakeholders
  • Organizations using a modern data stack (Snowflake, BigQuery, Redshift, DuckDB)

Publicly disclosed clients

  • Accenture
  • Bumble
  • Cleo
  • Docebo
  • Insurello
  • JustPark
  • Kit

Strengths and what to watch

Strengths

  • Browser-native platform eliminates local setup and version-control friction for SQL and Python analysis.
  • Strong user satisfaction reflected in a 4.8/5 G2 rating, suggesting good product-market fit among data teams.
  • Named enterprise logos (Accenture, Bumble, Docebo) indicate ability to win deals with compliance-sensitive buyers.

Watch for

  • Crowded competitive landscape: Hex, Mode, Deepnote, and Databricks Notebooks all target the same collaborative analytics use case.
  • No disclosed revenue or ARR makes it difficult to assess growth trajectory relative to well-funded rivals.
  • AI feature race: Larger vendors (Snowflake, Databricks) are embedding generative AI into their own notebooks, potentially commoditizing Count's differentiators.

Key Information

Industry
Data Science Notebooks
Founded
2020

Frequently Asked Questions

What is Count and what does it do?

Count is a browser-based collaborative analytics platform where data teams write SQL and Python, build charts, and share live analysis documents. It combines coding, visualization, and annotation in one notebook environment for iterative workflows.

How much funding has Count raised and who are the investors?

Count has raised a total of $22.5 million. This includes a $15 million Series A led by Accel in 2022 and a $7.5 million seed round from LocalGlobe and others. The company does not publicly disclose revenue or headcount.

Who are Count's typical customers and notable clients?

Count targets data analysts, data scientists, and BI teams at mid-market and enterprise companies. Notable clients include Accenture, Bumble, Cleo, Docebo, Insurello, JustPark, and Kit. The platform works with modern data stacks like Snowflake, BigQuery, and Redshift.

What is Count's G2 rating and what does it indicate?

Count has a G2 rating of 4.8 out of 5 stars based on user reviews. This high score suggests strong product-market fit and user satisfaction among data teams, reflecting the platform's ease of use and collaborative features.

How does Count compare to competitors like Hex and Mode?

Count competes with Hex, Mode, Deepnote, and Databricks Notebooks in the collaborative analytics space. Its browser-native platform eliminates local setup friction, but it faces a crowded market where larger vendors like Snowflake and Databricks are adding similar features.

What AI features does Count offer and how are they used?

As of mid-2025, Count is integrating AI features such as natural-language querying and automated insight generation. These tools aim to help data teams analyze data faster and differentiate the platform from incumbents in the collaborative analytics market.

Sources

  1. count.co — Product description, customer logos (Accenture, Bumble, Cleo, Docebo, Insurello, JustPark, Kit), G2 rating of 4.8/5, and feature set (SQL, Python, DuckDB, AI-assisted analysis).
  2. techcrunch.com — Context on AI startup funding landscape in 2025; Count is not listed among $100M+ raisers, confirming its smaller funding scale.
  3. techcrunch.com — General funding news archive; no Count-specific funding articles found after June 2025, indicating no recent disclosed rounds.
  4. investor.salesforce.com — Salesforce FY2026 results showing $41.5B revenue and $800M Agentforce ARR; provides market context for enterprise AI/analytics spending.