Companies

Julius AI

julius.ai

Julius AI is an AI-powered data workspace that lets teams analyze and visualize data using natural language.

HQSan Francisco, California, United States
Employees1-10
Funding$11M
4 active roles
Profile 6mo agoJobs checked 17h ago
AnalyticsAI ApplicationB2B SaaSSeries A$10M-$50M

About

Julius AI builds an AI-powered data workspace that lets individuals and teams explore, analyze, and collaborate on data through natural-language requests and structured workflows. It sells to researchers, business analysts, and data scientists, differentiating through reusable, transparent and auditable workflows, live data connections, and no-code access to analysis and visualizations.

Market

Julius competes in AI-powered data analytics and conversational business intelligence, positioning itself as a no-code AI data workspace that lets users move from natural-language questions to live-data insights, charts, notebooks, and reports. Its differentiation is speed and accessibility—automatic data preparation, broad file and database connectivity, and repeatable or auditable workflows—versus dashboard-first BI platforms such as Tableau, Power BI, and ThoughtSpot and code-first notebook tools such as Hex and Deepnote.

Target Customers

Julius targets researchers, academics, business analysts, data scientists, and cross-functional teams such as marketing, product, and operations. It is especially suited to startups and lean teams that need data insights without hiring a full data team, as well as technical teams seeking to automate and audit ad hoc analysis.

At a Glance

Problem

Julius AI addresses the costly bottleneck between business questions and usable analysis. Nontechnical managers may have relevant data but still depend on analysts, data teams, or engineers: Julius’s own funding announcement describes a marketing manager waiting weeks to learn which campaigns drive retention and a sales director unable to diagnose falling revenue without database access. The resulting pain is delayed decisions, inefficient use of technical staff, and missed business opportunities.

The killer use case is asking business questions in plain language and receiving analysis immediately—for example, identifying campaign or funnel drivers, explaining a revenue change, or producing a forecast. Julius reports that a hospitality company can forecast across more than 87,500 properties in minutes rather than months, illustrating the potential economic value of compressing analysis cycles.

Product / Service

Julius is an AI-powered data workspace that combines a natural-language interface with structured analytical workflows. Users can upload CSV or Excel files, connect live sources such as Google Drive, OneDrive, SharePoint, Postgres, BigQuery, and Snowflake, and prompt the system to analyze data, generate charts, and create other business outputs. Its notebooks and shared workflows let teams preserve context, collaborate, and build repeatable, auditable analyses rather than treating each question as a one-off chat.

The product is delivered as a web-based SaaS with free access and paid subscription tiers that add advanced analysis, larger capacity, live connectors, collaboration, and exports. The benefit is to make sophisticated analysis accessible to researchers, business analysts, finance teams, and cross-functional groups without requiring every question to pass through a specialized data team; Julius describes the product as a shared AI analyst for teams.

Market

Julius competes in the overlapping categories of AI-powered data analysis, natural-language analytics, self-service business intelligence, and AI data agents. Its competitive set includes established BI platforms such as Tableau and Looker, search-oriented analytics provider ThoughtSpot, and AI analytics products such as DataGPT and Tellius. Julius’s positioning is to make business analysis conversational and accessible while retaining structured workflows, live data connectivity, and collaboration.

The company is not merely pre-launch: Julius announced a $10 million financing in July 2025 and reported more than 2 million users creating over 10 million data visualizations within two years of launch. It says its customers span Fortune 500 companies and startups, with examples including forecasting across 87,500-plus properties. The available evidence demonstrates substantial adoption and enterprise interest, but does not disclose revenue, so its revenue status cannot be independently confirmed from the research.

Founders & Leadership

Rahul SonwalkarFounder
Founder and CEO
Tyler ShibataChief Operating Officer

Funding History

2022-09
Seed$1.09M

Y Combinator

2025-05
Pre-Seed$500K

Not disclosed

2025-07
Seed$10M

Bessemer Venture Partners

Recent News

2026-07-24
Julius AI Guide: Transform Your Data Analysis in 2026

A recent guide describes Julius AI as a no-code platform where users upload data files and ask questions in plain English. The date is inferred from the article’s “8 days ago” timestamp relative to 2026-08-01.

2026-06-16
Julius AI Review: My Verdict for 2026

A review highlights Julius AI as a capable spreadsheet-analysis tool that helps users extract insights from messy data without coding.

2026-06-09product
Claude Fable 5 Now Live in Julius

Julius announced availability of Anthropic’s Claude Fable 5 model, described as the first publicly available Mythos-class model.

2026-03-26partnership
Announcing Our Partnership with Financial Datasets

Julius partnered with Financial Datasets to provide real-time financial-market information, including earnings, statements, stock prices, insider trades, and financial metrics. The data can be queried alongside users’ own files, datasets, and warehouse connections.

2025-10-23
How AthenaHQ turned a full day of data work into under an hour with Julius

Julius published a customer case study about AthenaHQ, highlighting workflows such as activation analysis and reporting that reduced data-analysis time from a full day to under an hour.

2025-10-13product
Introducing Julius Launch Week 2025

Julius announced five new integrations in a five-day launch: SQL Server, MySQL, Model Context Protocol support, Databricks, and Meta Ads. The launches expanded access to enterprise databases, external tools, data lakehouses, and marketing analytics.

2025-10-13
In-Depth Julius AI Review (2026): 100+ Users Experience ...

Upsolve published a review based on more than 100 user experiences, assessing Julius AI’s features, pricing, usability, and limitations.

2025-09-10product
Introducing Scheduled Runs on Julius: Your analysis and metrics on autopilot

Julius launched Scheduled Runs, allowing analyses to run on a recurring schedule and reducing the need for manual updates to recurring reports and metrics.

Active Roles

4
San Francisco, CA/Engineering/21d ago
San Francisco, CA/Marketing/21d ago
San Francisco, CA/Engineering/106d ago
San Francisco, CA/Engineering/106d ago

Business Model

Julius AI uses a freemium SaaS model, offering free access alongside paid subscription tiers. Plans are billed monthly or annually, with usage-based credits and discounted annual pricing supporting recurring subscription revenue.

Products

AI-powered data workspace and Data Agents for natural-language data analysisNotebooks for reusable, transparent, and collaborative analytical workflowsData Connectors for live access to sources such as BigQuery, Snowflake, PostgreSQL, Google Drive, and spreadsheetsCharts, graphs, data cleaning, statistical modeling, forecasting, and report generationTeam collaboration, Data Explorer, and Slack Agent capabilitiesWorkplace productivity tools for Excel files and slide-deck creation

Customers

PandaDocZapierNvidia11x AIGUESSToastSan Francisco Compute CompanyCollectpureAvadel PharmaceuticalsSimpliSafeErnestaAlexiSpellbookSecuronixBunchaAthenaHQHomeFromCollegeMomentsAndreessen HorowitzExtend

Tech Stack

Large language models, including OpenAI GPT and Anthropic ClaudePython code generation and executionSQL generation and queryingNatural-language interfaces for structured data analysisLive data connectors for databases, warehouses, spreadsheets, and filesNotebook-based, step-by-step analytical workflows

Competitors

Tableau
Microsoft Power BI
ThoughtSpot
Looker
Qlik Sense
Hex
Deepnote

Key Investors

Bessemer Venture Partners and others