Stop Hallucinating your ICP.
Calculate it.
The first discriminative analysis engine for B2B startups. We compare your Won Deals against your Lost Deals to find the mathematical difference between signal and noise.
ICP = Ideal Customer Profile — the specific attributes that define your best-fit customers.
Why your ICP is probably wrong
Most companies define their ICP using flawed methodologies that guarantee inaccurate results.
Selection Bias
You only analyze customers who bought, ignoring the 90% who didn't. Your "ICP" is really just a description of whoever happened to close.
Dirty Data
Your CRM has 'SFDC', 'Salesforce', and 'Salesforce.com'. You can't compare them. Your analysis breaks before it starts.
Generic AI
LLMs guess your persona based on vibes, not statistical significance. They hallucinate patterns that don't exist in your data.
The 3-Step Engine
A systematic approach to transform messy CRM data into actionable intelligence.
12 variants → 4 canonical entities
Adaptive Schema
We generate a custom data structure for your business model. No one-size-fits-all templates.
Our system learns your unique deal attributes and creates a normalized schema.
Vector Entity Resolution
Our AI maps 'HubSpot CRM' and 'HubSpot Inc' to the same vector entity.
Using semantic embeddings, we resolve inconsistent naming automatically.
Discriminative Statistics
We isolate the specific variables that correlate with revenue.
Statistical significance testing reveals what actually matters vs. noise.