Key Features:
- Research questions using the web, files, and connected sources
- Analyze data with code, visualizations, and transparent workflows
- Create presentations, websites, reports, images, and video
- Refine finished work through conversation
- Collaborate with teammates and share results
Under the hood
Julius combines AI models with tools for research, computation, data access, and content creation. Depending on the task, Julius can search the web, work with files, query connected data, generate and run SQL or Python, create visuals, and assemble the result into a finished deliverable. The work stays in context so you can inspect it, ask follow-up questions, and revise the output.Who can use Julius?
Researchers and academics
Researchers and academics
Research topics, analyze datasets, document methodologies, and turn findings into reports or presentations without spending hours on tooling or custom code.
Startups and lean teams
Startups and lean teams
Move from research and business data to decisions, presentations, websites, and other launch-ready work without adding specialized tools for every step.
Cross-functional teams
Cross-functional teams
Give marketing, product, operations, finance, and sales teams one place to analyze information and create work for stakeholders.
Technical teams
Technical teams
Reduce time spent on ad hoc questions, automate repeatable workflows, inspect generated code, and build working prototypes.
Julius Tools and Features
AI Presentation Maker
- Start from source material, including files, connected data, web research, or analysis completed in Julius.
- Build the narrative and design together, instead of moving between analysis, charting, and presentation tools.
- Choose from presentation templates or describe your preferred style and branding.
- Create the format you need, including HTML, PowerPoint, PDF, PNG, Google Slides, or another useful output.
- Publish or export the finished presentation for your audience.
Use cases
- An executive turning quarterly metrics into a board update.
- A founder building an investor pitch from research and financial data.
- A researcher converting a report and analysis into an accessible briefing.
AI Website Builder
- Generate a complete first version from the audience, content, sections, and visual direction you describe.
- Refine copy, layout, styling, images, animation, and interactions with follow-up requests.
- Build interactive experiences, including calculators, games, dashboards, and data visualizations.
- Use research, files, and analyzed data from the rest of your Julius conversation.
- Publish and share the finished site on every Julius plan.
Use cases
- A startup publishing a launch page and early-access waitlist.
- A consultant creating a portfolio or service website.
- An analyst turning research and data into an interactive visual story.
Teams in Julius
- Centralize conversations and workflows around data projects in one workspace.
- Invite teammates to collaborate, share updates, and review AI-generated analyses.
- Assign roles and manage permissions to control access to sensitive data and actions.
- Track discussions around datasets, Notebooks, and insights in a transparent, auditable way.
Use Cases:
- A product team collaborating on user engagement metrics.
- A marketing team exploring campaign performance together.
- An analytics team reviewing and improving shared queries with the help of AI.
Notebooks in Julius
- Ask questions in plain English, and Julius translates them into real data queries.
- View, edit, and customize generated code (e.g., SQL, Python) and visualizations.
- Chain multiple steps into a logical sequence to build end-to-end analyses.
- Document reasoning and assumptions alongside outputs, promoting transparency.
- Re-run, version, and share notebooks for reproducibility and collaboration.
Use Cases:
- A data scientist building a multi-step customer segmentation analysis.
- A business analyst tracking sales funnel conversion across stages.
- A stakeholder reviewing a Notebook to understand key business drivers.
Data Connectors in Julius
- Securely link your databases, warehouses, and spreadsheets, including tools like BigQuery, Snowflake, PostgreSQL, and Google Drive.
- Query live data through AI, avoiding stale or out-of-context information.
- Browse schema and tables, or let Julius guide you with intelligent suggestions.
- Configure multiple sources across environments (e.g., staging vs. prod).
Use Cases:
- A founder quickly pulls revenue numbers from a production database.
- A growth marketer connects a Google Sheet to analyze lead pipelines.
- An ops team integrates Snowflake to build a real-time dashboard.
