Design Engineer, AI Engineer & AI Consultant
I design and build AI systems that become part of how businesses operate.
Design engineer and founder, moving from strategy through product and production to make complex AI systems useful in daily operations.
- Years
- 12+
- Products shipped
- 125
- Fortune 500 alumni
- 5
Three ways in.
Experience and shipping signals
Companies I've worked with
- GAP
Systems designed around the operational constraint.
Each feature surfaces only the summary, blocks, and metrics recorded in the public case study.
Typographic system artifact
Protectron
Protectron
Public summary
Democratizing EU AI Act compliance for every company—from audit chaos to a guided path.
The challenge
Make a complex compliance process understandable and actionable.
- Product direction
- Guided
Role, contribution, and production state are not recorded in this public summary.
Typographic system artifact
Neraxxus
Neraxxus
Public summary
Designing an AI voice platform people actually trust to speak for their business.
The product
A voice AI platform designed around clarity, control, and trust.
Role, contribution, and production state are not recorded in this public summary.
Typographic system artifact
Nexuvo
Nexuvo
Public summary
AI-powered inventory acquisition—turning dealer sourcing from gut feel into a system.
The system
Operational intelligence for repeatable vehicle sourcing.
Role, contribution, and production state are not recorded in this public summary.
Products are operating systems, not launch announcements.
A factual view of the public portfolio: what each product addresses and the status currently recorded for it.
Start with the constraint. End with behavior in the world.
A five-part path from ambiguity to a production system that can be observed, maintained, and improved.
- 01Find the operational constraint.
- 02Design the system, not only the screen.
- 03Prototype the risky interaction.
- 04Build the production path.
- 05Measure behavior and improve.
Ideas made specific enough to use.
Workshops for putting the thinking into practice.
AI Essentials for Real Estate Agents
Leave with working AI systems for listings, follow-ups, and lead nurture—set up live on your own accounts. This session is built for agents who want practical automation, not another generic AI demo. We work through real listing workflows, draft follow-up systems, and lead nurture sequences you can deploy the same week.
Bring the business problem, not an AI shopping list.
I've built AI systems at Anthropic, Microsoft, and Intuit. Now I bring the same systems to local businesses: real estate teams, clinics, service companies. Practical, installed, working.
Book a discovery callWhat I solve
Operational bottlenecks where a designed AI system can improve how work moves.
A strong fit
Teams with a real workflow, access to domain knowledge, and an owner ready to implement.
What it produces
A clear system direction, tested interaction, and a practical path toward production.
Not a fit
Speculative demos, borrowed urgency, or technology selected before the business constraint.
Technology matters when it changes the quality of the work.
I'm Cyriac Zeh, a design engineer and product builder based in San Diego, California. I work close to the people using the system—from the first constraint through the production path.