Ship AI features that survive production.
Turn prototypes into durable product capabilities with the right architecture, evaluation loops, monitoring, and human control points.
Interim CTO & AI Product Leadership
We work with founders to turn AI-enabled products into secure, scalable systems, without hiring a full-time CTO too early.
OHL brings doctoral-level computer science research, production AI experience at big tech, and founder/CTO operating experience at a YC-backed startup.

Startup-stage trigger?
Outcomes
OHL is built for pre-seed, seed and Series A founders making high-stakes product, architecture, AI, security, hiring, vendor, or scaling decisions.
Turn prototypes into durable product capabilities with the right architecture, evaluation loops, monitoring, and human control points.
Make early technical decisions visible before scale, security, data, or team complexity forces a painful rebuild.
Assess model providers, infrastructure choices, build-vs-buy tradeoffs, and operating economics before they compound.
Identify gaps in data handling, access control, AI vendor exposure, deployment readiness, and technical governance.
Create a clear operating rhythm across founders, engineers, vendors, investors, and early customers.
Productized offers
The entry offer is the Technical Control Audit: a fixed-scope, independent review that clarifies priorities before implementation spend.
7-10 days
A fixed-scope assessment for founders who need technical clarity before a launch, funding round, first hires, scale-up, rebuild, or major vendor decision.
The audit does not obligate you to buy implementation. It is designed to give you an independent decision memo.
90 days, typically 8-12 hours/week
Operating leadership for founder-led teams that need CTO-level decisions, delivery accountability, and technical governance before hiring a full-time CTO.
Best after a clear mandate exists, or after the Technical Control Audit defines the priority decisions.
For VCs, accelerators, and venture studios
A practical technical leadership layer for portfolio teams supporting pre-seed through Series A founders.
Useful when multiple startups need senior technical judgment, but not full-time technical leadership.
How it works
The first job is not to manufacture an implementation sale. It is to give founders a clear technical control point and a defensible operating path.
Map the product, architecture, AI surface area, team reality, vendors, security posture, and business trigger.
Turn ambiguity into a prioritized decision memo, roadmap, architecture direction, and owner model.
Lead the operating cadence, technical decisions, hiring/vendor alignment, and delivery accountability.
OHL trust signals
OHL brings doctoral-level computer science research, production AI experience at big tech, founder/CTO operating experience at a YC-backed startup, and 13+ years across engineering and startup scale.
OHL brings doctoral-level computer science research and production AI experience at big tech, with emphasis on turning advanced R&D into production systems.
OHL brings founder/CTO operating experience at a YC-backed startup, including architecture, product delivery, team leadership, and scale pressure.
More than 13 years across research, engineering, AI systems, open source, and startup scale.
Frequently asked questions
The goal is to help founder-led teams understand when to audit, when to sprint, and when to keep delivery internal.
One Human Labs is an interim CTO and AI product leadership firm for pre-seed, seed and Series A founders building AI-enabled products. OHL helps make architecture, security, vendor, hiring, and delivery decisions without requiring a full-time CTO hire too early.
The Technical Control Audit is a 7-10 day fixed-scope review of architecture, AI/data/security risks, infrastructure economics, vendor decisions, ownership gaps, and the next 90 days of technical priorities. It is designed to produce an independent decision memo, not an automatic implementation sale.
OHL is best for founder-led pre-seed, seed and Series A startups that need senior technical judgment around MVP architecture, first technical hires, AI evaluation, production reliability, security, enterprise readiness, vendor oversight, or avoiding expensive rewrites.
No. OHL is for situations where a company does not yet need, cannot yet hire, or needs to supplement a full-time CTO. The work gives founders and teams accountable technical leadership during specific startup decision windows.
Yes, OHL can help deliver later through a sprint, internal team, vendor team, or implementation partner. The initial assessment remains independent and is structured to clarify what should happen next before implementation spend.
OHL brings doctoral-level computer science research, production AI experience at big tech, founder/CTO operating experience at a YC-backed startup, and 13+ years across research, engineering, AI systems, and startup scale.
Independence principle
The assessment makes product architecture, AI evaluation, security, hiring, vendor ownership, and roadmap tradeoffs clear before the team commits to expensive implementation work.
Share the technical decision, product risk, enterprise deadline, or AI delivery problem. OHL will respond under the One Human Labs relationship with the next practical step.