
Privacy-first AI copilot for NoSQL databases enabling natural language queries

Insight O' Mate is a privacy-first AI database copilot that translates plain English questions into NoSQL queries executed locally on your machine. It supports MongoDB, Firestore, Redis, DynamoDB, and Excel/CSV, allowing developers, analysts, and business users to query databases and spreadsheets without exposing sensitive data to the cloud. The product ensures no data upload or retention, maintaining user privacy while simplifying complex query syntax.
No rows sent; only prompt and schema travel to NLP endpoint with no data retention.
Answers render as appropriate charts or clean tables for clarity.
Pin, drag, resize, and rearrange tiles for real-time analytics.
Save reusable natural language query patterns for quick reruns.
Searchable record of all past analyses.
Maps user words to actual schema fields to handle misnamed inputs.
Understands industry-specific vocabulary beyond generic English.
Switch between saved database connections easily.
20 analyses per day, single machine, single DB, community support
100 analyses per hour, priority queue, real-time dashboard, data exports, query history, email support
Unlimited usage, custom templates, private NLP instance, VIP support
Multi-seat workspace, usage dashboard, shared prompt library (coming soon), role-based API keys
Text-to-NoSQL translates plain-English questions into NoSQL queries executed locally, supporting MongoDB aggregation pipelines, Firestore queries, Redis commands, DynamoDB expressions, and spreadsheet operations.
Yes, Insight O' Mate sends only your question and schema names to a stateless NLP engine; your document values and credentials never leave your machine.
Yes, it acts as an AI copilot that generates queries from natural language, saving time and avoiding manual syntax writing.
Yes, it includes an in-memory engine for Excel and CSV with filtering, grouping, aggregation, and cross-sheet joins using plain English.
It uses a local-first desktop sidecar that executes queries locally, stores credentials in OS keychain, and uses a stateless cloud NLP engine that never stores prompts or trains on your data.
Traffic, engagement, sources and keywords are Similarweb-style estimates, refreshed monthly. Verified traffic comes from a connected Google Analytics / Search Console.
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