Oracle Analytics AI for Excel
Enterprise-grade Generative AI integration for Excel, bridging the gap between spreadsheets and OCI-powered insights.
Architecting complex logic from natural language for Excel, Google Sheets, and SQL.
FormulaGenius Pro represents the 2026 standard for logic-based automation within spreadsheet environments. Built upon a specialized LLM fine-tuned for syntax-heavy operations, it bridges the gap between natural language intent and syntactically perfect Excel, Google Sheets, and SQL code. The platform utilizes a RAG (Retrieval-Augmented Generation) architecture that understands the specific context of different spreadsheet versions, ensuring that the formulas generated (such as XLOOKUP or LET functions) are compatible with the user's specific software version. In 2026, FormulaGenius Pro has transitioned from a simple prompt-to-formula tool into a comprehensive logic engine, capable of generating complex VBA macros, Google Apps Script automation, and sophisticated SQL CTEs. Its technical positioning centers on 'Zero-Error Logic', utilizing a proprietary validation layer that dry-runs formulas against a virtualized spreadsheet engine before presenting the output to the user. This minimizes the debugging overhead for data analysts and finance professionals, significantly accelerating the pipeline from raw data to actionable insight. The Pro tier features enhanced security protocols including local context processing, ensuring that sensitive financial data remains within the enterprise perimeter while only the logical structure is processed by the AI.
Analyzes the headers and data types of the uploaded sample to generate formulas that use specific cell references instead of generic placeholders.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Translates natural language into dialect-specific SQL (MySQL, PostgreSQL, T-SQL, Snowflake) with support for window functions.
Deconstructs complex nested formulas into human-readable bullet points, explaining the 'Why' behind each function.
Generates and explains regular expressions based on example text inputs for data cleaning.
Generates full macro scripts with inline comments and a safety-check for infinite loops.
Allows users to paste a broken formula and receive a corrected version with a diagnosis of the original error (e.g., #VALUE! or #REF!).
Refactors old-style formulas into modern dynamic arrays (FILTER, SORT, UNIQUE) for better performance.
Manual comparison of two massive datasets from different sources with slightly different formatting.
Registry Updated:2/7/2026
Apply the formula to the reconciliation sheet.
Non-technical marketing managers needing to extract specific retention cohorts from a PostgreSQL database.
Extracting valid phone numbers from a messy 'Notes' column containing mixed text.