Julius AI
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
Transform natural language into complex Excel, Google Sheets, and SQL logic instantly.
AI Formula Helper is a sophisticated productivity engine designed to bridge the gap between complex data manipulation requirements and the technical syntax of spreadsheet software and relational databases. Architecturally, the platform leverages Large Language Models (LLMs) fine-tuned on extensive repositories of Excel, Google Sheets, SQL, and VBA code. As of 2026, the tool has evolved from a simple text-to-formula generator into a comprehensive data logic orchestrator. It features an advanced semantic parser that understands nuanced business logic, such as fiscal year offsets or complex regex patterns, and translates them into optimized formulas. The platform serves as a critical intermediary for non-technical business analysts and power users alike, reducing time-to-output for financial modeling and reporting by up to 80%. Its market position is defined by its low-latency response times and its ability to handle cross-platform syntax translations, ensuring that logic built for Excel is seamlessly converted for Google Sheets environments. By integrating directly into browser environments and offering dedicated add-ons, AI Formula Helper minimizes context switching, positioning itself as a pervasive layer in the modern data stack for 2026 and beyond.
Deconstructs complex nested formulas into human-readable steps using natural language processing.
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.
Generates optimized SQL queries for MySQL, PostgreSQL, MS SQL, and BigQuery from natural language.
Creates regular expression patterns for data validation and extraction based on user-provided examples.
Generates automation scripts to perform repetitive tasks within Excel or Google Sheets.
Converts Excel-specific functions to their Google Sheets equivalents and vice-versa.
Analyzes syntax errors in provided formulas and suggests functional corrections based on the context.
A cloud-synced repository for storing and tagging custom-built logical snippets.
A financial analyst needs to calculate weighted averages across multiple sheets with varying date ranges.
Registry Updated:2/7/2026
A marketing manager needs to pull a list of customers who spent over $500 last quarter from a PostgreSQL database.
A HR professional needs to automate the process of moving data from an intake form to a specific tab.