Outbound engines and AI agents that get better as they run.
Qualified meetings on the calendar from an engine that runs on your side: signals in, tiered and enriched people out, every reply classified and routed, and the CRM kept current without anyone copying rows.
The capability, defined.
Finding the right people, qualifying them, getting a verified email, writing the message, sending it, handling the reply, and writing all of it back to the CRM. The difference between agencies is whether that machinery runs on your side, on your data, and gets better as it runs. Ours does. We run our own outbound from Claude Code, most client builds call Clay as one tool for enrichment, and every engine goes live on the client's own infrastructure. The outbound we ran for Ariel, our outbound client, put $30K in pipeline in 5 days with 52% of the replies positive.
Not an outbound agency that sends emails on your behalf and leaves nothing behind. Not a Clay table and nothing around it. It is the whole system from signal to CRM, written as code, running in your accounts.
What this costs you today.
Most teams run outbound as a stack of rented tools and a person holding them together.
The anatomy of the system.
Each component has one input and one output. This is the order they fire in the engine we designed for Ariel; the rest come from other client builds and the systems we run ourselves.
Engineered, not prompted.
We build the engine on your side and run it with you until it is yours to run, on Claude Code, the Claude Agent SDK, n8n, Railway, Vercel, Cloudflare, and Supabase.
What this looks like in the wild.
The reliability that ships.
Reply rate on our best cold email campaign. The worst did 3%, against the 1 to 2% we see as the average reply rate these days.
Pipeline in 5 days from the outbound we ran for Ariel, with 52% of the replies positive.
Zapier zaps replaced by one codebase for ColdIQ: n8n for simple workflows, FastAPI for the logic and Claude calls.
↳ Numbers from systems we built and run. We report your real numbers once you are live.
Named tools, and why.
The model is fungible - the system is the moat. Here's what we build it on, and the reason each earns its place.
Agency, hire, or engine on your side.
Four ways to get GTM engineering done. Here is how they compare.
The honest fit check.
High-growth agencies running GTM, growth, RevOps or outbound for their own clients; Series A and B SaaS companies that need custom AI in their GTM without a full-time GTM engineer yet; profitable info businesses, coaching programs, recruiting agencies and service firms with a working sales motion and a list problem.
Companies without a working revenue motion yet, and companies not ready to put money into infrastructure. A build on top of an offer that does not convert yet will not fix the offer. Fix the offer first. And if you want someone to run campaigns for you every month with nobody on your side involved, pick an outbound agency instead.
The honest answers.
What does a GTM engineering agency build?
The systems that turn a buying signal into a booked meeting: signal pipelines, qualification agents, enrichment waterfalls, outbound sending, reply handling and the CRM plumbing that ties them together. Ours are written as code. The engine we designed for Ariel, for example, goes from a Trigify webhook through Claude qualification and a Prospeo then LeadMagic waterfall into Instantly.
How is a GTM engineering agency different from an outbound agency?
An outbound agency runs campaigns on your behalf. A GTM engineering agency builds the system that runs them, on your infrastructure and your data, and the system keeps getting better as it runs.
How long does a build take?
Two to eight weeks depending on the build. An outbound engine has gone from nothing to a live campaign in five days, and an AI company brain over eight data sources took one month. Either way it is running on your data inside the first month.
Do you use Clay?
For our own outbound, no: we run it from Claude Code without Clay. Most of our client GTM builds call Clay as one tool inside the system, and the client brings their own Clay seat. Enrichment beyond Clay runs as a waterfall in code, with providers like Prospeo and LeadMagic.
What happens after the build?
Two months of support come with every build. Then your team runs it with the documentation, the runbook and a walkthrough, or we stay on and keep building as your embedded team on a Monthly Partnership with a 3-month minimum.
Should I hire a GTM engineer instead?
If GTM engineering will be a permanent function with a steady backlog, yes. Ramping a hire costs three to six months before the first result, and this work needs GTM, data, backend and AI engineering at the same time. If you need the first system live this month, a build gets you there first.