Julius AI
Julius AI is an AI workspace for researching topics, analyzing spreadsheets and data in plain language, and building reports, dashboards and presentations.
About
Julius AI is a workspace where users research complex topics, analyze data through conversational queries and create deliverables without moving between tools. It supports natural-language analysis of spreadsheets, including Excel files, and can generate presentations, dashboards, websites, images and videos from the same session. The site positions it as a single place to work through a question, analyze data, make a presentation and build a website. It is aimed at analysts, students, and business users who want data answers without writing code.
- Organization type
- ai company
- Headquarters region
- San Francisco
- Founded
- Not stated
- Listings in the graph
- 0
- Last updated
- 6 October 2026
- Published
- 6 October 2026
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- julius.ai
- Sources cited
- 2
- Last reviewed
- 6 October 2026
- Last updated
- 6 October 2026
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Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.
Products & technologies
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Services
No published services from this organization yet.
News & insights from this region
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Events in this region
5 November 2026 · San Francisco
Voice Agents Forum 2026
Voice Agents Forum centers on conversational systems that can listen, respond and take action. Its technical emphasis is on deployment choi…
10 November 2026 · San Francisco
AI Engineer Code Summit 2026
AI Engineer Code Summit focuses on how software organizations can incorporate models and agents into the development lifecycle. It offers a…
19 April 2027 · San Francisco
Confidential Computing Summit 2027
Confidential Computing Summit examines the intersection of privacy-preserving infrastructure, cryptographic techniques and enterprise artif…
Learning resources
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