Straight answers.
These are the questions enterprise buyers, analysts and security teams ask us most, answered plainly. We cover anything else in a working session.
What is STRATIS in one sentence?
STRATIS is the decision intelligence layer for enterprise marketing: it connects your marketing data, reasons across it continuously and flags decisions that improve performance while there is still time to act.
Why can't a general-purpose model do this?
It can answer a question. It cannot see your campaign data, your brief, your strategy, the market and your decision history at once, and it will not show you the path it took. The reasoning layer here gets stronger as the underlying models improve. The way the platform reads, structures and remembers a marketing operation is ours, and it is built for this work.
How is this different from measurement, a data platform or an ad platform?
Data platforms ask where the information lives. Measurement asks what happened. Execution asks how to run it. STRATIS asks what should change next, why and whether it worked. It sits above the others and reads from them.
Is it a black box?
Every insight carries its audit trail: the data it touched, the benchmarks it checked, the strategy it read and the confidence it holds. STRATIS withholds any insight that cannot show its work.
Does STRATIS act on its own?
Today the platform reads from your channels and warehouse and writes nothing back. A person accepts, questions or rejects every insight, and every step lands in the audit trail.
How does it keep up with new technology?
New technology enters through one vetted door. The model providers and tools behind the platform sit on a named sub-processor register that your security team reviews once. When something better arrives, STRATIS brings it in and takes responsibility for it.
We already have reporting and an agency. What changes?
Keep both. Reporting tells you what happened. Your agency recommends inside its own estate. STRATIS sits on your side of the table, sees spend across every partner and flags the decisions neither can see from where they stand.
How quickly do we see value?
We connect your sources and validate parity first, so the numbers match what you already report. Insights begin once the data holds, and Reserve grows from the first approved decision. We agree timelines with your team before anything starts.
Where is our data held and who can see it?
Your data sits in an isolated environment in North America, with a named sub-processor register. No other client can see it and no client's data trains any model. Access follows role, region and line of business.
Ask the rest in person.
We run a live product demo on one consequential decision and answer your questions as we go, with the evidence behind every answer on screen.