The path from service to IP
Solve real problems first, then build leverage.
We are building a service engine before a product company: complete founding engagements, measure outcomes, publish proof, standardize delivery, and turn repeated customer problems into reusable internal IP.
The path from service to IP
Focused, but in order.
Build the founding service engine
Focus on AI startups and SaaS companies that need a serious AI capability, a reliable existing system, or a clear path to production.
Complete the founding cohort
Accept up to 20 completed engagements in each of Build, Fix, and Scale while recording scope, effort, outcomes, objections, and reusable patterns.
Publish measurable proof
Turn permissioned work into case studies, technical teardowns, sample audit reports, and a defensible AI Production Score methodology.
Standardize and expand
Create delivery playbooks, evaluation assets, internal tools, and repeatable offers before expanding the ICP or hiring ahead of demand.
Service to IP
Repeated client problems become reusable internal IP. Product opportunities are considered only after evidence shows a repeatable problem and distribution path.
What we believe
“Every AI system should have a measurable baseline, a clear owner, and an operating path its team can trust.”
- 01Sell specialized outcomes, not developer hours.
- 02Build, Fix, and Scale are the public story; the full catalog supports delivery behind the scenes.
- 03Every meaningful AI system needs evaluation from day one.
- 04Baseline before intervention, comparable evidence before claims.
- 05Protect scope, credentials, data, and customer confidentiality.
- 06Services generate revenue; repeated problems create reusable IP.