GTM built on real sources: Unify the market, execute with AI that doesn't make things up and keep control of your data.
Centralize B2B intelligence in a Unified Signal Layer. The platform that unifies your customer data (CDP for Go-To-Market) and replaces CRM silos with an autonomous engine that audits, drafts and orchestrates sales with verifiable evidence.
A single Unified Signal Layer. Three engines to watch, act and make sense.
A classic database gathers your customer information and leaves it sitting there. REVsign unifies it, verifies every source and turns it into commercial actions a person signs off on. Each client works on its own isolated layer and cannot see anyone else's. Nothing is stored twice and nothing is claimed without its source.
Read the full signal architecture →
It brings high-frequency footprints (global news, changes on websites and in the tools each company uses) into the Unified Signal Layer, clean and with no duplicates, before anything touches the CRM. The intent score comes from fixed rules, so it cannot make things up.
The engine that acts. It runs signal-based outbound, not mass blasts. To reach out without becoming commercial noise, it requires three things at once: the right account prioritized by intent score, the functional decision-maker (revealed only when the case justifies it) and a timely reason backed by a verbatim quote and a traceable source. Because these contacts have no prior consent, a safety gate blocks excluded accounts or recently contacted leads, suppresses your paid audiences when you connect each platform and requires a human signature before anything goes out.
The co-thinker that makes sense of it all. It stores the context of each account and proposes readings and drafts backed by verbatim quotes, while a signature gate decides what gets executed. Only facts supported by the source get in.
One engine, its outputs and the layer
- Market Radar & Competitive Intelligence
- Private Equity & M&A Due Diligence
- GTM Drafts Prepared in the Background
- Financial Governance
- Co-Thinker: Auditable Institutional Memory
- 24/7 Conversational AI Workforce
- Unified Signal Layer
- Multi-Tenant with Per-Client Isolation
Same architecture, three different questions
Can I prove it complies, or just trust that it does?
Every data credit is spent only after the classifier has approved the person, and every automated step records where it came from, which model evaluated it and why. It is the same thing you see in the lab's radar: the signal, its quote and its signature, without asking you to trust.
RevOps / SalesHow much manual work disappears without losing control?
The engine prepares the full package from the real signal (subject, hook, body and follow-up) and holds it until a person approves it (item by item, or under rules you signed off on and review every week). Like the lab's target accounts search: you request it, it runs on its own and lands ready for you to decide.
COO / CX-OpsWho's covering when nobody is?
A digital team trained on your business context handles bookings, qualifies leads and takes calls around the clock, with a real-time dashboard over every interaction. It answers from the account's memory, and if a statement does not match the source, it is discarded.
Founding Mandates
REVsign reveals signals when it is worth acting on them, working across the three actors that define an account: its companies, its people, and the information narratives around them. These are the six mandates that carve that logic into the foundation.
Build Your Engine for the AI Era
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