AI data analytics, provable end to end.
AI analytics is only useful if you can trust the output. Sluice pairs an AI analyst with a deterministic engine: the AI plans and asks, code executes, and every result is governed and traceable to source.
The problem with most AI analytics
Tools that let a model write and run SQL give you fast answers you can't verify. For exploration that's fine; for decisions, invoices, or reports it isn't. Sluice keeps the AI on the planning side and lets a deterministic compiler own execution — so speed doesn't cost you accountability.
From question to governed answer
Analytics that compound
Sluice remembers what each table means and how your business terms map to your schema, so answers get faster and more accurate over time. Ask multi-metric questions and get a rich, multi-chart answer — not a single flat number — all provable to source and built in your own cloud.
Frequently asked
- How is this different from an AI that writes SQL?
- The AI only plans a structured KPI; a deterministic compiler writes the SQL. Results are reproducible, governed, and traceable to source rather than an unverifiable one-off.
- Is the data governed?
- Yes. Analytics run on the governed Silver layer with PII masked in place and role-based access, in your own cloud.
- Can it answer multi-metric questions?
- Yes. A single question can produce several measures and charts, each grounded in your real schema and provable to source.
AI analytics you can actually trust.
Ask your data a question and get a governed, provable answer.