Clark Morgan · Physical AI product & systems leadership

Physical AI.
Built for the real world.

I turn spatial data, computer vision and edge technology into products and systems people can use.

My work connects spatial platforms at Matterport, industrial digital twins at NavVis and edge computer-vision delivery at Starbucks.

Illustrative exploded building study connecting physical systems and spatial information
Fig. 01 · Illustrative spatial systems study · Not a client project

Prior professional experience

Logos identify my prior work experience, including separate contract engagements at Starbucks from July 2024 through June 2026. The range does not imply uninterrupted staffing. They do not imply endorsement, current affiliation or official partner status.

The through-line

One through-line.
Physical-world intelligence.

Physical AI connects perception, spatial context, hardware and software to useful decisions in real environments.

Matterport / Spatial platforms

Make captured spaces useful.

Led product work that connected spatial data with design, construction, inspection and operational workflows.

NavVis / Industrial digital twins

Connect places with enterprise work.

Led ecosystem and partnership work around reality capture, digital twins and the platforms teams use to coordinate.

Starbucks / IoT & AI Engagements

Bring AI into operating reality.

Directed delivery across cameras, edge hardware, vendors, IoT visibility and store workflows. The work reached 20 stores; a 200-store proof of concept was planned, not deployed.

July 2024–June 2026 · Separate contract engagements; the range does not imply uninterrupted staffing.

Career experience does not imply employer endorsement. Store counts describe program scope, not a Reality Systems client result.

Technical depth.
Business context.

I work where product, engineering, partnerships and operations need one shared picture of the problem.

  1. 01

    Technical product leadership

    Translate customer and field needs into product direction, requirements, engineering priorities and a credible route to adoption.

  2. 02

    AI, hardware & deployment

    Connect computer vision, cameras, edge devices, cloud systems and operational validation. Define what must work in the physical environment.

  3. 03

    Partners & commercialization

    Align platform capabilities, APIs, integrations and partner programs with a specific customer workflow and commercial purpose.

  4. 04

    Business & operations

    Bring the owner’s perspective to delivery: decisions, capacity, vendor responsibilities, team adoption and a supportable handoff.

Products for places,
not just screens.

Four chapters across infrastructure, spatial platforms, partner ecosystems and computer vision.

Conceptual reality capture and building information illustration
Illustrative study · Not an actual employer system

Matterport / Published employment work

Captured space.
Useful products.

Led product work for BIM File, Revit integration and developer-platform capabilities, connecting captured spaces to AEC applications. Product definition, engineering priorities, Autodesk alignment and go-to-market work belonged to the same delivery story.

Product leadership · APIs & SDKs · Commercialization

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Conceptual datacenter infrastructure illustration
Illustrative study · Not an actual employer system

Amazon Web Services / Prior direct AWS experience

A common information
backbone.

Led BIM information program work for datacenter design and construction, connecting facility information, global requirements, enterprise data and the teams that use it. The work joined engineering needs with information governance and cross-functional delivery.

Datacenter programs · BIM · Enterprise systems

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Conceptual retail camera and edge AI illustration
Illustrative study · Not an actual employer system

Starbucks / IoT & AI Engagements

Computer vision meets
operating reality.

Directed technical delivery across camera infrastructure, edge hardware, vendor coordination, installation planning and operational validation. The work grew from a 2-store test to 20 stores. A 200-store proof of concept was planned, not deployed.

Computer vision · Edge AI · Hardware · Operations

Technical Product Manager; later Senior Technical Product Manager · July 2024–June 2026. The dates describe the overall span of separate contract engagements and do not imply uninterrupted staffing.

Explore this work

Conceptual illustrations do not depict actual sites, shipped systems or endorsements.

Built on real
operating work.

Clark Morgan, founder of Reality Systems

Clark Morgan brings experience across enterprise systems at AWS, product leadership at Matterport, digital-twin partnerships at NavVis and computer-vision programs at Starbucks. Through Reality Systems, he connects business needs, technical systems and practical AI workflows.

Earlier work at Lydig Construction and BergerABAM / WSP connected BIM, engineering applications, reality capture and field workflows. Independent work through ModusAEC and agency operations added the business-owner perspective.

I translate between the field, product, engineering, partnerships and the people who must operate what gets built.

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Full professional profile

The complete
career story.

Explore the full professional bio, career timeline and project record below, without leaving Reality Systems.

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Complex systems.
Useful outcomes.

Let’s talk about technical product leadership, applied AI, spatial computing or the next team you’re building.

Professional opportunities and consulting inquiries are welcome.