Agent-run go-to-market experiments across a portfolio deployment image

VENTURE STUDIO / FDE EMBED

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Agent-run go-to-market experiments across a portfolio

Engagement

Agent-run go-to-market experiments

Capabilities

Audience definition, data collection, enrichment, scoring, message generation, and tracking

Context

A venture studio's portfolio companies, each needing pipeline before they could justify a GTM hire.

The unit of work moved from campaign to experiment: a founder could take a hypothesis to a live test in the same week, and what survived became shared infrastructure instead of one person's process.

The problem

Founders had channel ideas but no way to run enough experiments to find out which ones worked, and no shared infrastructure between companies.

What we built

A GTM system that handled the mechanical parts of an experiment end to end — audience definition, data collection, enrichment, scoring, message generation, and tracking — so a founder could go from a hypothesis to a live test the same week.

What changed

The unit of work moved from campaign to experiment: a founder could take a hypothesis to a live test in the same week, and what survived became shared infrastructure instead of one person's process.

What we'd do differently

Most of the value wasn't the generation step everyone expects. It was the enrichment and scoring underneath it — the boring part decided whether the interesting part worked.

The next deployment

Bring us a workflow, not an RFP.

We'll tell you honestly whether AI should touch it.

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