Julius AI has raised $10 million in funding led by Bessemer Venture Partners, Y Combinator, and other notable investors to democratize AI-powered data analysis. The platform allows non-technical users to analyze data, generate visualizations, and access underlying code using natural language prompts. With over 2 million users and 10 million visualizations created to date, Julius is transforming business decision-making by eliminating dependency on traditional data teams. Clients range from Fortune 500s to startups, with use cases spanning forecasting, finance, and operations. Already adopted by institutions like Harvard Business School, Julius is poised to become a standard tool for modern professionals navigating the AI-driven future.

Julius AI, a rising player in the AI-native analytics space, has raised $10 million in new funding to expand its mission of making data analysis accessible to every knowledge worker—regardless of technical skill. The round was led by Bessemer Venture Partners with participation from Y Combinator, Horizon VC, AI Grant, 8VC, and prominent angel investors including the founders of Notion, Vercel, Replit, Intercom, Dropbox, Zapier, and Twilio.

Founded just two years ago, Julius AI has quickly gained traction as an intuitive, no-code data analytics platform that enables users to query complex datasets in plain English. Behind the scenes, the platform auto-generates R or Python code and visualizes insights without requiring technical training. The company reports over 2 million users to date and more than 10 million data visualizations created on its platform—supporting a wide spectrum of customers from startups to Fortune 500 firms.

"Most organizations are sitting on valuable data but lack the bandwidth or skillset to unlock its full potential," said Julius CEO Rahul Sonwalkar. “Our mission is to bridge that gap and put the power of data in everyone’s hands, not just the data team.”

Julius integrates with major data warehouses including Snowflake, BigQuery, and PostgreSQL, offering a seamless experience that keeps sensitive data secure while enabling real-time exploration. The product’s newest features include Julius Teams for enterprise collaboration and Notebooks that allow advanced users to build repeatable workflows.

Notably, Julius has already made inroads in academia. Harvard Business School and Rice University now teach the tool in data science and leadership programs, likening Julius to what Excel was for MBAs in the 1990s. According to Dr. Karim Lakhani of Harvard, “The future of business leadership lies in working hand-in-hand with AI agents like Julius.”

User testimonials reflect wide-ranging applications: a hospitality group now forecasts trends across over 87,000 properties in minutes; a hedge fund runs rapid modeling on global energy markets; and an operations VP describes Julius as producing in hours what would normally take engineers weeks.

With its latest funding, Julius plans to double down on its vision of becoming a real-time AI co-pilot for data-driven work—anticipating questions, surfacing insights proactively, and accelerating decision-making at every level of the organization.

As AI transforms how work gets done, Julius aims to ensure that curiosity—not coding—remains the only requirement for insight.

About Julius AI:
Julius AI is a U.S.-based AI-native data analytics platform founded in 2023. The company helps individuals and teams ask questions, visualize data, and generate analysis code—all through natural language—without needing to write code. Its clients include enterprises, startups, and educational institutions.

Funding Details:

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  Amount: $10 million

  
  


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  Investors: Bessemer Venture Partners, Y Combinator, Horizon VC, AI Grant, 8VC, angels from Notion, Replit, Intercom, Dropbox, Zapier, Twilio

  
  


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  Use of Funds: Product expansion, team growth, enterprise features, AI-driven insight automation