AI-native outbound
Don't tell a company you can do their go-to-market. Do a slice of it and send it. A pipeline that mass-produces genuinely bespoke work-samples at near-zero marginal cost.
The machine encodes years of running this motion by hand.
A live enrichment grid mid-batch: target companies scored for ICP fit, their GTM surface noted, the owner identified, a bespoke work-sample composed in the preview pane, and delivery advancing sent to opened to replied. All rows anonymized.
The motion, run by a machine
The same motion that closed deals by hand for years, now systematized: research the target, build something genuinely useful for them, and get it to the person who owns the problem.
- 01
Target intelligence
Research each target company's actual go-to-market surface: where the motion is, what's working, what's missing.
- 02
Bespoke work-sample
Produce a genuinely useful artifact specific to them, not a template with their logo dropped in.
- 03
Right-person delivery
Identify and reach the person who owns the problem, and measure reply and meeting rates honestly against the manual baseline.
The numbers, when they land
The first batch is running now. The manual track record behind it is in the instrument above; the live metrics publish here as they come in.
Reply and meeting rates from the current batch, measured against the manual baseline.
A redacted example of the kind of bespoke artifact the pipeline produces for a target.
What your team gets
Someone who has run this motion by hand and built the machine that multiplies it. Hiring this is hiring the operator who can run your outbound and the system that scales it.