Land via Eng/CTO — AI-Native (direct)
AI-Native is the company spine. This wedge is the direct, engineering-led way in: the CTO brings us in as part of their AI-native initiative, and it grows down into the org.
Every serious AI-native product converges on the same three layers: an agentic interface on top, agentic loops in the middle, a deterministic backend at the bottom. Foldspace owns the top layer. But the architecture is table stakes. The real moat is the data flywheel wrapping it.
Sequence
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LinkedInPresenceReply to a post about their AI work or AI hire. Engineer to engineer.
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EmailThe observationSubject: the interface layerSorry for the cold note. Saw you are staffing up on AI. Most teams end up rebuilding the interface layer by hand, and it eats the quarter meant for core product intelligence.
We run that layer in production, which frees your team for the data flywheel that is the actual moat.
I ran the build-vs-partner numbers for a roadmap like yours. Want me to send it over?
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Follow-upDeliverSend the build-vs-partner math against their roadmap.