From signals to pipeline: how AI reasoning finds B2B leads
A step-by-step look at how the platform turns public signals into qualified, evidence-backed leads.
Step 1: Collect signals at scale
The platform monitors public sources continuously — company registries, funding databases, job postings, patent offices, news, and regulatory bodies.
Each signal is a small piece of evidence about what a company is doing right now.
Step 2: Score with AI reasoning
AI reasoning evaluates each company against your ideal customer profile: industry, size, geography, and the signals that indicate buying intent.
The result is a score from 0 to 100. Scores above 80 are HOT, 60–79 are WARM, below 60 are COLD.
Step 3: Attach the evidence
Every score comes with its evidence attached. Your team can see exactly which signals drove the score and verify them in seconds.
No black box. No mystery leads. Just a clear trail from signal to verdict.
Step 4: Work the pipeline
Qualified leads flow into a pipeline your team can act on — assign owners, track deal value, and let the platform suggest next actions.
The result is a repeatable process: discover, qualify, convert.
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