Yong Qian · Physical AI deployment & production recovery

Move Physical AI from pilot to production.

I help robot companies and industrial teams diagnose deployment gaps, recover blocked or unstable systems, and reach measurable customer acceptance. One bounded diagnostic leads to an implementation decision, then reliability support where needed.

Scope and commercial terms are discussed privately.

20+ yearsRobotics deployment and automation
3 exitsIndustrial IoT, edge networking, and applied AI
China · Europe · U.S.Product building and field delivery across markets

How I can help

Diagnose

Understand the deployment

Establish the operating baseline, quantify the problem, test root-cause and readiness evidence, and produce a costed acceptance plan.

Review the diagnostic →

Recover

Resolve deployment blockers

Coordinate bounded interventions, commissioning, measurement, customer acceptance, and handover with qualified delivery partners.

Review the recovery program →

Stabilize

Improve reliability

Provide scheduled reliability reviews, bounded troubleshooting, deployment reviews, and an owned issue backlog after handover.

Review reliability support →

The operator perspective

Humanoid product definition

Product vision, roadmaps, data-collector strategy, bounded demonstrations, and privacy-first robot concepts.

Review Physical AI work →

Automotive field deployment

Programming, commissioning, troubleshooting, and acceptance in production environments where safety, uptime, and quality matter.

Read the deployment background →

Founder and infrastructure depth

Built and exited industrial IoT, edge networking, and applied AI products; OmniEdge reached 7K+ users across 26 countries.

Review the operating track record →

Judgment before commitment

I declined a $7M quadruped deployment after evaluating the platforms against the terrain, endurance, perception, and support requirements. The commercial opportunity did not make the field capability ready. That same discipline guides product roadmaps, investment diligence, and production decisions.

Read the field-readiness decision

What decision must your team make next?

Share the robot, the claim or workflow under review, the evidence available, and the decision deadline.

Explore my full work history, case studies, résumé, and writing.