Data Analysis
  • July 29, 2025
  • Roshan Shriwastav
  • 0

Data analysis AI-based startup Julius AI has raised a seed round of 10Mn led by Bessemer Venture Partners with other investors participating in the round including Horizon VC, 8VC, Y Combinator, the AI Grant accelerator and several well-known angels including Perplexity CEO Aravind Srinivas, Vercel CEO Guillermo Rauch and Twilio co-founder Jeff Lawson.

Started by Rahul Sonwalkar, a graduate of Y Combinator, Julius started as a logistics company before repositioning itself as a platform with capabilities of a natural-language AI data scientist. Julius has obviously found a connection within the analytics market given that it has over 2 million users who have created over 10 million visualizations.

The Activities and the Reason Julius does this

Conversational Analytics: Julius involves users to respond to Julius in a human-analyst mode like manner- previously asking the question, such as, Compare revenue and net income by industry across the US and China and receive result in graphs, correlations and predictions.

Scaling of Visualization: Over 10 million visualizations have been made up to date indicating the ability of the visualization platform to convert complicated data to fast, consumable insights.

Predictive Modeling: Julius lets you run more than just charts: It opens a world of forecasting and modeling with just natural-language prompts, automating activities groups of data scientists would contribute.

Such simplification and richness of analytics has an audience among non-technical business users and sets Julius apart from more general-purpose AI tools such as ChatGPT, Claude, or Gemini.

Financial support and Strategic Support

Julius is going to use a $10 million seed capital to:

Increase the functionality of the product and scalability of the platforms

Further enterprise engagements and assistance

Increase the pace of marketing commercial and academic customers

Alpha stage investment by Bessemer and large-scale angels provide credibility and strategic networking opportunities in the future, which will be highly attractive to series A funding.

Real-World Effect and Implementation

Harvard Business School (HBS) is using a customized format of Julius in its newly created Data Science and AI for Leaders course – a course co-designed with HBS professor Iavor Bojinov.

Technical users Analysts, executives and researchers have hailed Julius as converting current data workflows that are based on code, or business intelligence (BI) tools, into conversation.

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