REVsign turns market noise into auditable signals, validated by data and not hallucinated. We build production-ready revenue engines under the Reveal Signals doctrine.
We review every request by hand, with no automatic access.
Every engine runs on the same data layer. Every output is backed by the literal source that sustains it.
Everything you need to know before requesting access.
A CDP for Go-To-Market, the platform that unifies your customer and market data: we capture the digital footprint of organizations, people and market narratives and turn it into verifiable signals, with their source, ready for your sales team and your AI assistant, without making anything up.
The doctrine that governs the engine: it processes in absolute silence, without burning budget, and only "reveals" a signal, spending the integration credit and triggering the commercial action, once it has already validated that the opportunity is genuine. Zero spend on false positives, by design, not by discipline.
Nothing goes out without human approval: everything the system proposes outward is born as a draft. Before that, an untouchable exclusion list and a per-account cooldown window live in the data, not in an agent's judgment.
Every signal quotes its source verbatim, archived with a unique fingerprint and mechanically verified against the original. If where it came from can't be proven, it's discarded: no verifiable citation, no signal.
Fill out the form above with your organization and role. We review every request manually and reach out by email.
REVsign evaluates every contact with its own classifier, which compares real vocabulary and execution capability against the target buyer profile instead of filtering by job title. It produces three possible states: clear fit, plausible fit, or rejected. It rests on the principle that real executive function matters more than declared labels.
Contact data (email, phone) isn't included in the candidate profile at first. Billed enrichment only fires after the classifier approves the contact, avoiding spend on contacts that never passed the prospecting filter.
It verifies via active domain probing (HTTP HEAD with redirects), tax-ID validation by mathematical check, and corporate-network mapping that flags matches for human review without automatic merges.
GTM and outreach with alerts and sequenced campaigns (in production), coordinated content signals with AI detection, and mapping of opaque corporate structures (not yet implemented).
Every claim must carry the exact fragment that backs it and which part of the original text it came from. That fragment is checked to appear word for word in the stored text, discarding the entire synthesis if any citation fails.
Each agent has its restrictions written into the code: which tools it may use, how much it may write, and how many times it may retry. The answer is checked against the exact shape it was supposed to have, and if it does not fit, execution is cut.