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We work with post-PMF AI and developer tool companies when growth is working, but the system behind it is starting to break.

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The Pattern We Keep Seeing

AI companies come to us when they need to:

• Add a self-serve motion to an enterprise sales org
• Turn open source traction into paid revenue
• Untangle pricing with trials, credits, and coupons
• Find the narrative that makes serious buyers trust how you think
• Define what activation actually means
• Figure out why a flat funnel won't budge
• Wire PLG usage signals into the sales pipeline

The surface problems vary. The root problem is usually the same: no one owns the link between growth strategy, the story you tell the market, and measurement.

Why it persists:

• Engineers set up the warehouse, tracking, and dashboards, then move on to product work
• The data exists. The growth answers don't.
• Marketing produces content, but it's measured in pageviews instead of pipeline
• The small data team is buried in ad hoc requests instead of building self-serve systems

The cost compounds:

• Every churned user you didn't track is a churn model you can't build six months later
• Every funnel break you can't replay is a fix you have to guess at
• Every week without measurement is more decisions made without evidence