An engine that never stops reasoning.
Built to reason continuously: a knowledge graph of your business, re-scored as records land.
- ingestshopify · 30 days of orders resolved · margin joined per product
- ingestmeta ads · spend by campaign joined to the orders behind it
- graphentities resolved · products, channels, cohorts linked
- reasoncandidate moves generated · twelve scored against the goal
- reasoncut the two worst-margin products from paid · confidence 0.78
- reasonraise the free-shipping threshold to the median basket · confidence 0.66
- reasonshift prospecting budget into retention flows · confidence 0.55
- workbrief drafted for the top move · queued for senior review
- evidenceoutcome window set · prediction recorded before the work starts
Ingest
Every source, read-only, gated.
Revenue, analytics, ad accounts, and CRM through standard OAuth, plus market signal. The engine reads the whole business, not a sample, and the data stays in your tools.
Graph
The business as a knowledge graph.
Customers, products, channels, margin, and risk resolved into one structure, with every decision stored as an object: its situation, move, confidence, evidence, test, and outcome.
Reason
Deterministic where a rule exists.
Candidate moves are generated and scored against the goal. Where a judgment repeats, it is encoded as a rule, so the same records produce the same conclusion and every conclusion traces back to what produced it.
Work
Drafted by agents. Signed by people.
Briefs, campaigns, and analysis are produced at volume and queued for senior review. Nothing ships itself. When an outcome window closes, the result is recorded against the prediction.
| A language model on your data | The Voltaire engine | |
|---|---|---|
| Where answers come from | A model predicting plausible text | A graph of your records and explicit rules |
| Same question twice | Two different answers | The same answer, with the trace behind it |
| When it is wrong | No way to find out why | The rule or record that misled it is identifiable |
| What compounds | The vendor's model | Your graph, your decision log, your accuracy record |
| When it reasons | When you ask | Continuously, as records land |
Language models still do the reading and the drafting at volume. They sit under the review gate. They do not decide.