Signal Forge
Refine and prioritize signals with documented rules.
Signal Forge applies agreed scoring and enrichment rules to available inputs before records are reviewed or delivered.
Inputs and outputs
Know what the score can and cannot say
| Stage | Examples | Limit |
|---|---|---|
| Inputs | Observed behavior, source attributes, recency, firmographic fields, exclusions | Only fields actually available are used |
| Rules | Weights, thresholds, recency windows, suppression criteria | A score is an inference, not proof of intent |
| Outputs | Priority band, reason codes, selected fields, review status | Delivery depends on the scoped workflow |
Feedback can refine rules only when outcome data is available, permissioned, and connected to the workflow.
Next step
Talk through your current setup
Start with the problem, data, and systems you already have.
We will identify what is observable, what may be matchable, and which delivery options fit your workflow.