Onvo AI positions itself as the layer between messy operational data and decisions. Most teams have numbers scattered across a PostgreSQL database, an Excel file someone emails around, and a Google Sheet that has drifted out of sync. Onvo connects to all of them — plus MySQL, SQL Server, MongoDB, ClickHouse, Firestore, Snowflake, BigQuery, Airtable and anything reachable by JDBC or REST — and then does the tedious part for you: spotting merged cells, broken dates, inconsistent formats and empty rows, and fixing them before a chart is ever drawn.
The second half of the product is the AI analyst. You can ask questions in plain English such as why sales dropped last week or which customers lead by region, and Onvo queries the underlying data and returns a written answer with supporting charts, including maps for location data. Any chart you find useful can be added to a dashboard in one click, and an AI chat can also change an existing chart — make this a bar chart, show only the top five — without digging through menus. Dashboards refresh on hourly, daily or custom schedules, and results export to PDF, PowerPoint or Excel.
For product teams the interesting piece is embedding. Onvo ships an SDK with a React component, per-user embed tokens that can be revoked at any time, iframe support in any stack, and white-label theming so your brand colours and fonts carry through. Each client can get an isolated workspace, so their data never crosses over into someone else's view. The platform is aimed at companies that want to sell or share analytics inside their own product without building an analytics layer from scratch.
