Build with Grey Haven
We back durable advantage, not categories.
We take on projects where deep expertise can become a product competitors struggle to copy. The industry itself matters less than the edge, and the engagement model matters less than the outcome: can this become defensible?
What makes a fit
Industry-agnostic
We don't care what the industry is. We care whether your expertise can become something competitors can't copy.
Overlooked by design
The most defensible opportunities sit in industries and geographies traditional venture capital keeps passing over.
Defensible or nothing
If AI can't create a durable advantage, it isn't a Grey Haven project, and we'll tell you that early.
Ways to build together
Four paths, one standard: production.
Viability assessment
Validate your AI opportunity before you commit: technical feasibility analysis, market evaluation, an implementation roadmap, and cost and timeline projections.
Custom applications
Full-stack AI products designed to stand alone from day one: scalable architecture, product strategy, equity partnership options, and launch and scale support.
Solutions development
Custom implementations of Grey Haven systems adapted to your organization, data, workflows, and governance without forcing a new standalone company around the work.
Embedded team
Ongoing AI engineering capacity. Senior engineers extend the team already working on your Grey Haven stack and scale as needed.
How we work
For work where prototypes are not enough.
We keep engagements practical: define the advantage, build the system that creates it, and stay honest about whether the work should become a standalone product, an internal solution, or additional engineering capacity.
Where we lean in
Production engineering
Real systems, not AI wrappers: architecture, security, data flows, evals, observability, and the operational seams required to run it.
Applied AI behavior
We design model behavior, communication patterns, context flows, and structured outputs around the way your work actually happens.
Clear commercial shape
We choose the right container early: venture-scale product, custom internal solution, or embedded capacity, with incentives aligned to the outcome.
Where we've found success so far
These are the sectors where our work has already shown the strongest signal.
Actively seeking partners
Overlooked, expertise-gated industries we're vetting partners in now. If AI can create durable advantage there, we want to talk.
Open source
We build in the open, too.
Context engineering is foundational to everything we ship. autocontext is our open-source project for assembling the right context for AI systems, free for anyone to use and build on.
