Questions over your real data
A deterministic engine answers common questions instantly; Claude, with read-only tools, handles open questions when AI is enabled. Any error falls back to the deterministic engine.
Deltryx AI
Ask questions in plain language. Answers come from the same queries as your dashboards, carry their confidence and sources, and say "there is not enough data to prove that" when that is the truth.
A deterministic engine answers common questions instantly; Claude, with read-only tools, handles open questions when AI is enabled. Any error falls back to the deterministic engine.
Each tool result includes its source, evidence type, attribution method, confidence and data freshness, so you can check a claim before acting on it.
Read, recommend, prepare, execute and automate are separate levels. AI proposals stop at "prepare" and are never approved automatically.
Scale, hold, reduce or investigate recommendations per campaign, each from declared rules you can read.
Ad copy, campaign names and lead notes are treated as data: cleaned of instructions and wrapped before they reach the model.
Track how AI assistants describe your brand for the questions your customers ask. Claude works today; other assistants need their own keys.
Know before you buy
No. It has no write tools. It can propose a change; a person with the right role approves it, and execution needs platform write access that is not active.
No. The workspace comes from the server session, not from the question, and cross-workspace access is covered by automated tests.
It says there is not enough data to prove the claim, and shows what it does know.
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