Adaline is an AI infrastructure platform that helps teams build, evaluate, monitor, and deploy production AI applications.
Adaline had strong technical capabilities but no clear product-market fit. They did not know which use cases, buyer personas, or product features actually drove purchase decisions. After burning through four different agencies, they still lacked qualified pipeline and had no reliable signal from the market about what to sell or to whom.
StoryGenturned outbound into a real-time market discovery and revenue engine. Instead of pushing a fixed pitch, our GTM Engineering Team developed multiple use cases, ICPs, and value propositions across AI developers, product teams, and platform engineering groups that Adaline could solve.
We then quickly stood up a BDR-team trained to handle conversations for each of these possible use cases. Every conversation our BDRs had was fed back into Adaline’s product and positioning, allowing the team to see which features, workflows, and pain points were actually generating buying intent. This allowed Adaline to rapidly refine their messaging, pricing, and product focus around what the market was proving it would pay for.
StoryGen created both pipeline and product-market clarity:
More importantly, StoryGen gave Adaline something far more valuable than meetings: a validated go-to-market strategy. The company emerged with clear ICPs, proven use cases, and messaging tied to real buyer pain, positioning them for growth and a successful VC funding round.