AI Pro SQL
Turn natural language into high-performance SQL queries with schema-aware intelligence.
Turn spreadsheets into intelligent data pipelines with native LLM orchestration and real-time enrichment.
InsightAI Sheets is a high-performance cognitive layer designed for Google Sheets and Excel 365, positioned in 2026 as the industry standard for spreadsheet-based LLM orchestration. Unlike basic wrappers, InsightAI leverages a proprietary multi-model routing engine that dynamically switches between GPT-5, Claude 4, and specialized local models to optimize for cost and accuracy. The platform architecture focuses on 'Cell-as-a-Prompt' logic, allowing users to execute complex RAG (Retrieval-Augmented Generation) workflows directly within a grid. By 2026, the tool has evolved to include native vector database connectors, enabling users to query internal company knowledge bases without leaving the spreadsheet interface. Its technical infrastructure handles high-concurrency bulk processing, capable of executing thousands of API calls per minute with built-in rate-limit management and error handling. This tool bridges the gap between raw data storage and actionable intelligence, making it an essential component of the modern AI-driven enterprise stack for marketing, sales operations, and financial analysis.
Automatically routes tasks to the most efficient model (e.g., Llama 3 for cleaning, GPT-4o for creative writing) based on prompt complexity.
Turn natural language into high-performance SQL queries with schema-aware intelligence.
Turn natural language into complex Excel formulas and SQL queries in seconds.
The AI-powered data assistant for Excel, Google Sheets, and SQL workflows.
Turn natural language into complex Excel formulas and VBA scripts in seconds.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A headless browser engine integrated into functions like =AI_EXTRACT_URL() to pull real-time data from live websites.
Allows users to index sheet data into a temporary vector store for semantic similarity lookups.
Converts natural language descriptions into complex Regular Expressions for data validation.
Executes thousands of rows in the background without freezing the UI using asynchronous webhooks.
Enables 'Chain of Thought' processing where the output of one cell is used as a reasoning step for the next.
Caches identical prompt-result pairs at the organization level to prevent redundant API spend.
Sales teams spending hours manually researching LinkedIn profiles and company news.
Registry Updated:2/7/2026
Generating localized product descriptions for 5,000+ SKUs across 10 languages.
Large volumes of survey responses are difficult to categorize manually.