Stand up an AI-powered internal analytics tool in minutes, not weeks of data engineering. IQVigilant reads your data model's metadata — so answers are grounded in your real schema, with no hallucinations and no guessing.
Most companies have data silos, and standing up an AI analytics stack takes weeks. IQVigilant collapses that to a connection: plug in your database string, and you instantly have an AI-powered internal analytics tool. Users ask questions in plain language and get back tables, beautiful charts, and full dashboards — built live.
Query and chart across your own database, external systems, and unstructured documents — read-only and in real time.
Query the data already in your VeloIQ app, grounded in its live model definitions and metadata.
Connect to external databases in real time, read-only, and let users explore them through natural language safely.
Ask once — IQVigilant works out which connected database can answer the question (your app's own or any external one) and queries it there, in the order you prioritize.
Every answered question is cached as a reusable query, so reopening a saved question re-runs it instantly against the same database — no re-interpretation.
Pull answers from documents like Word files, spreadsheets, PDFs and CSVs — not just structured tables.
The same agents don't just chart — they query, analyze and act, using host-app and natural-language tools. See Safe AI Agents →
See how instant, metadata-grounded analytics fits your data.