We’re building the intelligence layer for HealthTech revenue teams.
SignalRx helps revenue teams understand every customer, make better decisions, and drive growth with confidence.
1M+
Healthcare accounts mapped
100M+
AI inferences performed
30 days
Average time to go live
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Why SignalRx Exists
Three beliefs behind SignalRx
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Healthcare isn’t just another market.
Healthcare revenue is shaped by ownership, specialties, provider relationships, locations, and products. Generic GTM software treats every account the same.
Growth starts with the customers you already have.
Most companies spend too much time chasing new logos while expansion, churn, and wallet-share opportunities stay hidden inside the customer base.
AI should support experts, not replace them.
Models surface patterns. People validate context. The best decisions come from combining both.
How It Started
We kept seeing the same thing
Every company had Salesforce
Every company had enrichment
Every company had an ICP
Yet nobody could answer: Where do we focus next?
So we built SignalRx to make healthcare revenue predictable
Model reality
Research every customer and prospect so every account reflects the customer behind it.
Prioritize relentlessly
The best revenue teams don’t work more accounts. They work the right ones.
Keep learning
Every new signal improves the model, revealing expansion, churn, and buying opportunities continuously.
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Tom Zampini
Founder and CEO, SignalRx
Founder and CEO, SignalRx
“We believe every revenue organization needs an intelligence layer. One that continuously understands every customer, creates a shared understanding across the business, and turns that understanding into action.”
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Why It Works
AI finds patterns.
Experts validate reality.
Healthcare experts define the model. Every engagement starts with understanding your market, customers, and products.
AI researches continuously. Models surface buying signals, ownership changes, expansion opportunities, and risk automatically.
Revenue Plays evolve with your business. Your CRM stays aligned with how your customers actually buy—not how they looked six months ago.
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