Computed, not predicted.
Every calculation runs as real SQL and Python against your data — never as a language model's guess at arithmetic. A faithfulness check then traces each number in the answer back to the query that produced it.
Compare
Dashboards show. General AI guesses. RQVST proves.
BI tools stop at the chart. General-purpose AI answers confidently with numbers nobody can trace. RQVST is built for the part that actually matters: decisions you can defend — and learn from.
| Buying factor | BI tools Tableau · Looker · Power BI |
General AI ChatGPT · Claude · Gemini |
RQVST |
|---|---|---|---|
| Analysis & trust | |||
| Root-cause analysis, not just charts | — | Partial | |
| Every number traceable to a query | Partial | — | |
| Refuses claims it can't verify | — | — | |
| Causal analysis with assumption checks | — | — | |
| Exact math — computed, never "estimated" by a language model | — | ||
| External context fused with your data (market, macro, news) | — | Partial | |
| Learning & memory | |||
| Governed metric definitions with an approval lifecycle | Partial | — | |
| Learns your business over time — taught facts, governed context | — | Partial | |
| Decision records with measured outcomes | — | — | |
| Team knowledge saved, shared, and applied automatically | — | — | |
| Operations & delivery | |||
| Works without a data engineering team | — | Partial | |
| Anyone can use it — no SQL needed | Partial | ||
| Scheduled, recurring analyses that run themselves | Alerts only | — | |
| Board-ready output — briefs, decks, live spreadsheets | Partial | Partial | |
| Pixel-perfect dashboard design canvas | — | Interactive views | |
| Data stays in your environment — isolated tenant, read-only connections | Depends |
An honest note: if pixel-perfect executive dashboards are the whole job, a BI tool does that beautifully — and RQVST works alongside it. RQVST exists for what happens next: the why, the decision, and the follow-through.
Under the hood
Why the answers hold up.
Best model for each job.
RQVST orchestrates across frontier AI models and picks per task — deep reasoning for investigations, fast models for routine steps. You're never locked to a single vendor's model, and upgrades arrive without migration.
Your data stays yours.
Isolated tenants enforced with row-level security at the database layer. Connections to source systems are read-only. Pilot deployments are single-tenant — your data shares infrastructure with no one.
Private beta
See the difference on your own numbers.
The comparison that matters is on your data. Join the private beta and run your first real decision cycle with RQVST.