The approach
Where expertise becomes product.
We partner with domain experts in specific, high-value fields to build custom AI solutions that solve real work. When the product fits the work, it creates data advantages that can change industries.
Solutions loved by the people at
Our thesis
Experts should shape what comes next.
AI should not be shaped only by coastal labs, platforms, and investors. It should also be shaped by the people closest to the work. Grey Haven builds custom AI solutions with those experts, and when the product solves real work, it creates the context, feedback, and operational knowledge that make it hard to copy.
Domain experts first
The product starts with people who know the customer, the constraints, and the exceptions.
Applications before assets
We do not chase data for its own sake. We build useful products; durable context follows.
Production creates the edge
Demos do not compound. Products in daily use do.
Opportunity quality
What we look for.
We look for fields where insiders feel the pain immediately and outsiders cannot fake the expertise.
Specific work with real stakes
The work is detailed enough that generic software misses the point, but valuable enough that better tooling matters.
Expert judgment repeats
High-value decisions happen often enough that productizing them can change the economics of the work.
The workflow is underbuilt
Teams rely on spreadsheets, inboxes, calls, PDFs, or shadow processes because current tools do not fit the job.
There is a clear first user
The product has an initial champion, adoption path, and measurable outcome beyond a technical demo.
Use compounds the edge
A useful application can create proprietary context, feedback, evaluations, and workflow knowledge over time.
The upside should be shared
The experts and communities closest to the work should participate in the value created from their knowledge.
