AI Query
Generate SQL Queries with Natural Language
OpenOS was an AI-powered tool for natural language data querying and financial analysis. The platform is now shut down and no longer accessible.
OpenOS was a powerful platform designed to bring data and financial analysis to startups and SMEs through an intuitive, AI-powered interface. It served as a virtual data analyst and CFO, using natural language input and machine learning models to help users forecast, analyze, and report data with minimal technical skills.
OpenOS transformed how teams worked with data. Its natural language interface allowed users to generate SQL queries, create reports, and perform complex analyses—all without needing to write code or understand technical analytics tools.
OpenOS allowed users to query structured data using plain English. It converted natural language input into SQL, enabling anyone on a team to interact with relational databases and extract insights independently.
Using models like Prophet and GPT, OpenOS supported financial forecasting and transaction classification. Teams could quickly generate financial statements, analyze performance, and project revenue trends using historical data.
The platform connected with a variety of data sources including relational databases, bank statements, and payment gateways. OpenOS ensured user privacy by indexing only the schema and retrieving data on demand via secure queries.
OpenOS included a library of common financial and business reports—from marketing effectiveness to retention analysis. Users could auto-generate and customize reports tailored to their company’s needs.
OpenOS is no longer active. Its official site is offline, and the product is not accessible to new or existing users. No formal announcement of a successor or migration plan has been released.
Teams previously relying on OpenOS may explore other no-code data analytics platforms that support natural language querying, financial forecasting, and database integration for non-technical users.
OpenOS lowered the barrier to data-driven decision-making. It empowered founders, marketers, and finance teams to access insights without technical training—paving the way for more accessible analytics tools.
Though discontinued, OpenOS demonstrated how machine learning and natural language processing can bridge the gap between raw data and actionable insights, especially for early-stage companies.