$10M for Julius AI’s Push to Make Data Analysis Conversational

Julius AI is making data analysis accessible to the millions of knowledge workers who don’t write code. Since launching in 2022, the San Francisco-based startup claims over two million users and 10 million visualizations generated. It just raised $10 million in seed funding from Bessemer Venture Partners, Y Combinator, Horizon VC, and others.

Founder Rahul Sonwalkar started Julius after a pivot during his time at Y Combinator, walking away from a logistics startup to build an AI data analyst. The platform lets users upload datasets, from spreadsheets to PDFs, and ask analytical questions in plain English. Behind the scenes, the AI translates those questions into code, generates charts or models, and presents the output in a clean interface.

A Niche Between BI Tools and LLMs

The product’s pitch: natural language access to statistical analysis and visualization, is not unique. Tools like Microsoft’s Copilot for Excel, ChatGPT with code interpretation, and even traditional BI platforms like Tableau and Power BI now offer AI-enhanced analysis. Julius is trying to differentiate by going deep on data science-specific capabilities while maintaining ease of use.

It’s not a general-purpose chatbot, and it doesn’t try to replace enterprise-scale dashboards. Instead, Julius emphasizes interactive exploration: “What were my best-selling products last quarter?” or “Forecast revenue for the next six months based on this data.” The tool responds with not just an answer but the underlying model, code, and confidence intervals if requested. According to the company, it writes four million lines of code per day across user queries; thousands of times what a human engineer can output.