Julius AI
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
Turn natural language into complex spreadsheet logic, scripts, and SQL queries instantly.
Formula AI Studio is a specialized LLM-integrated environment designed to bridge the gap between business logic and executable code within spreadsheet ecosystems. By 2026, the platform has evolved from a simple formula generator into a comprehensive logic IDE, supporting Excel (Legacy and O365), Google Sheets, Airtable, and various SQL dialects. Its technical architecture utilizes a proprietary 'Schema Context Engine' that allows users to define or upload spreadsheet headers, enabling the AI to generate formulas with precise cell referencing rather than generic placeholders. The studio specifically addresses the 'formula fatigue' experienced by financial analysts and data managers by offering multi-step logic decomposition, where complex nested functions are broken down into readable, debuggable components. Market-positioned as an essential productivity layer for non-technical data workers, it integrates directly via browser extensions and native add-ins. The platform's 2026 iteration includes advanced support for Python in Excel and Google Apps Script, moving beyond static formulas into full-scale workflow automation. This architectural depth ensures high reliability for enterprise-level financial modeling and large-scale data transformation tasks.
Injects user-defined column headers into the prompt context to ensure generated formulas use actual names (e.g., [Total Sales]) instead of generic refs (A2).
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
Instantly convert natural language instructions into complex Excel, Google Sheets, and SQL formulas.
Turn natural language into complex Excel formulas and SQL queries in seconds.
The AI-powered data assistant for Excel, Google Sheets, and SQL workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Translates natural language into Snowflake, BigQuery, PostgreSQL, and MySQL syntax with specific optimization for window functions.
Generates complex Regular Expressions from text patterns and provides a visual breakdown of the matching logic.
Uses code-specific LLMs to refactor legacy Excel VBA macros into modern Google Apps Script.
Generates Python code specifically formatted for Microsoft’s native Python in Excel integration.
Parses existing formulas for circular references, N/A errors, and logic gaps, providing a corrected version.
Breaks down a single prompt into a chain of logical steps, showing exactly how a nested IF(AND()) structure was built.
A sales manager needs to calculate tiered commissions based on 5 different variables including quota, region, and product type.
Registry Updated:2/7/2026
Manager clicks 'Insert' to apply to 1,000+ rows.
Inventory tracking requires a script to email the procurement team when stock levels drop below a dynamic threshold.
Marketing team needs to extract specific customer IDs from a massive Postgres database but doesn't know SQL.