Solutions
What teams build when the product can see the session.
Every personalisation, ML or agent project has two halves, knowing and acting. Signals does the knowing and hands it to whatever you use to act. Start from the project you are stuck on, or from the industry you work in.
14 days · no card · no sales call
Use cases
Three projects that usually stall on real-time data.
01
In-session personalisation
Rank against what this customer is doing now, not last night's segment.
02Real-time features for ML
One definition builds the training set and serves live. Production matches training.
03Customer-aware AI agents
The agent already knows they have been stuck on the same page for four minutes.
Industries
The same attributes, keyed on whatever your sector moves on.
Start with one attribute.
Define it, read it in your own product, and see it change while you click around. 14 days, no card, no sales call.