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Every mature sales team is already equipped with the signals. Buying intent, product usage, hiring moves, funding rounds, the moment a champion changes job. The data is there. What goes missing is the part that matters most. The rep gets the signal and does not know what to do with it. Signals become noise.
And so follow-ups rot. Open the HubSpot of almost any growing B2B SaaS company and you will find pages and pages of overdue tasks, all of them "Follow up with Steve" or "Follow up with Chris," no context attached, just sitting there. The real mental energy of a deal lives in that follow-up. What do I say, what were the objections, what is the blocker, how do I re-engage. When that work has no context wrapped around it, it does not get done, or it gets done badly and kills the momentum.
Leadership never sees it. It surfaces only when someone pulls up the task queue on a call and a rep finally opens up. A genuine drag on revenue, hidden in the place everyone already looks.
I have spent close to five years inside revenue systems, and I have not seen a mature sales team in that time without this problem. Not one.
The instinct, when a team is drowning, is to add more. Automate the outbound. Fill the pipeline. Bolt on another signal feed. Send more.
That makes the problem worse. More volume with no context is more noise.
The signals were never the issue. There are plenty. The problem is the rep cannot turn it into a next move. So GTM Layer points the same signals and the same AI the other way, at telling the rep the single best thing to do next, with the reason, in the place they already work. Then we build it so the team actually wants to use it. Adoption is the whole game.
That is the whole company in one line. The second I saw it, I could not unsee it.
We build the intelligence layer between your tools and your revenue. It takes the data sources you already have, reasons over them through a real sales method, and hands the rep the next move.
The edge is the combination. Standard intent data is the floor, the same signals every vendor sells across every market. The advantage shows up when you hold two things together: an active conversation that is already live, and a custom critical event nobody else is watching for.
Now you know exactly who to talk to and what to say.
Transcripts come first, then CRM activity, then firmographics and enrichment, then external news, then the custom critical events nobody else is scraping.
Every signal runs through a real sales method, SPICED or MEDDIC, so every output is a defensible move with the reasoning attached.
A single best next action for the rep, with the reason attached, delivered in the place they already work.
Each action and its outcome feed back in, so the system learns your accounts and gets sharper with every cycle.
We are operators first. We come in to build all of it, and we sit with the CRO on what to do and why. The technical side is not the limit, because once we know the move, we will go and build it. You get working infrastructure you can run from day one.
We run GTM Layer on the same systems we build for clients. AI-powered project tracking in Linear, automated client portals in Notion, and open-source tools we ship on GitHub. The systems we build for you are the systems we run ourselves.
Four principles run through everything we build.
Live systems today beat perfect systems next quarter. We ship, measure, and improve.
Every system we build is measured, tested, and refined against real pipeline data.
Deal velocity, conversion rates, and rep efficiency are the metrics that matter.
Context drilled down to a specific action, through a real sales method, moves revenue further than more automations and more reports. We point AI at making the team sharper.
One honest note on the AI part. Good AI work is harder than people expect. The people who manage to save time and cut work out of their day with AI are most often using it badly. Everything we build now does more because the capability is there, and that takes real time and skill to get right.
GTM Layer is a small, senior team. No layers, no handoffs to people who were not in the room.
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Five years in RevOps across more than 60 B2B companies, deep on HubSpot, Clay and enterprise sales methods. A builder and systems thinker, happiest with his hands in the actual system. He architects the build and stays on strategy with the CRO.
Owns operations and delivery. He takes messy, fast-moving scope, cuts the noise and rebuilds it into a plan the team can actually run. Meticulous on QA and process integrity, sharp on cost and ROI, he turns every idea into a built, shippable solution.
The proof is in the work behind GTM Layer, built up across a career before the company existed. Over five years in RevOps and GTM engineering, I have built revenue systems for more than 60 B2B companies. That experience is what GTM Layer is built on.
The combination of deep HubSpot work, Clay engineering, enterprise sales method, and B2B SaaS in one place is rare, and it is the reason the system works.
140+
distinct buyer signals custom-engineered across more than 20 industries
40-60%
saved on enrichment lookups by a Clay cache that avoids repeat enrichment
Every call
captured into a context store, so the system reasons over the full transcript, word for word
1
Revenue Leak Scan (free, CRM-only). Where you are losing revenue today.
2
GTM Build. We architect and ship the intelligence layer on HubSpot and Clay, with a context store and a Claude reasoning layer.
3
Embedded RevOps (Run). We stay in and run it with you, so it keeps compounding.
You do not have to commit to a build to find out where revenue is leaking.
The Revenue Leak Scan is free and CRM-only, so there is nothing to set up. We read your CRM and show you where context is missing, where follow-ups are rotting, and where the signals you already have are going nowhere. You see the gaps before you spend anything.
From there the path is simple.
