Work

We build the GTM infrastructure behind outbound.

Most outbound problems are not email problems. They are data problems. Wrong accounts. Wrong contacts. Missing signals. Bad enrichment. Unverified emails. Weak personalization. Disconnected tools. We build the systems that fix those problems.

Systems we have built

The challenge

The challenge was not finding Amazon sellers.

There were already hundreds of thousands of them.

The challenge was figuring out: Which sellers matter? Who should we contact? Why should we contact them now?

Result

A raw marketplace dataset became a continuously enriched prospecting engine.

We built
  • Data sourcing: Amazon seller and marketplace data pulled from multiple sources.
  • Enrichment: Company domains, decision makers, titles, LinkedIn profiles, technologies and additional company information.
  • Signal detection: Business changes, listing activity and other signals used to identify higher-intent prospects.
  • Verification: Multi-provider email enrichment and verification waterfalls to improve contact coverage.
  • AI research: Claygent used to research companies and generate additional context for personalization.
  • Outbound: Qualified prospects automatically pushed into the outbound infrastructure with personalized messaging.
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The pattern

Every system we build follows the same principle.

01

Data

Find the right data.

02

Signals

Understand why the prospect matters.

03

Enrichment

Build the complete prospect record.

04

Qualification

Filter out the noise.

05

Personalization

Understand the account and create relevant messaging.

06

Outbound

Reach the right person through the right channel.

07

Feedback

Use replies and campaign data to improve the system.

This is GTM engineering.

Not another lead list. Not another cold email campaign. Not another spreadsheet. We build the systems connecting data, AI, automation, and outbound so your GTM motion can run repeatedly and improve over time.

Built for teams that want infrastructure, not another agency.