Physical AI
Understand embodied AI, robotics, and autonomous systems well enough to evaluate vendor claims and commit capital with confidence.
Robotics and physical AI vendors are selling into an industry that cannot yet evaluate them. Capability claims outrun deployed reality, and the gap is expensive to discover after purchase. This engagement gives your engineering and operations leadership real technical grounding in how these systems perceive, decide, and fail, so you can tell a demo from a deployment.
Built around the automation decisions actually in front of you. If you have vendor proposals on the table, those become the case material. If you are earlier, we work from your process and constraints to identify where automation is and is not viable.
Quality and defensibility of the automation investment decision
For teams evaluating or deploying physical automation
6–10 weeks, tailored
What Makes This Different
Bridges software and hardware
Perception, sensors, uncertainty, and control, explained for people who have to make capital decisions about them.
Grounded in current systems
What is actually deployed and working today, versus what is in a funding announcement.
Simulation-first
Reason about sim-to-real gaps before they become commissioning delays.
Built for the decision, not the degree
The goal is a defensible investment decision and a realistic deployment plan.
What Your Team Walks Away With
Your Outcome: A team that can evaluate physical AI vendors credibly and scope a deployment that survives contact with your floor.
Working models of embodied AI systems
How perception, planning, and actuation fit together.
Reasoning about sensors and uncertainty
Where these systems are confident and wrong.
Vendor claim evaluation
The questions that separate a real capability from a staged demo.
A scoped opportunity assessment
Where physical AI fits your operation, and where it does not yet.
Built for Organizations That…
The Engagement, and What You Keep
How the work runs
What your organization owns after
Frequently Asked Questions
Do we need a robotics background?
No. The sessions are built for engineering and operations leadership who have to make capital decisions about these systems, not for people who will write control code.
Do we need vendor proposals in hand to start?
No, but they help. Where proposals exist they become the case material and get reviewed directly. Where they do not, we work from your process and constraints to identify where automation is and is not viable yet.
Will we work with physical robots?
The exercises are simulation-based and run against your process constraints, which is exactly where the sim-to-real gap becomes visible. That gap is what turns into commissioning delays on a real floor.
What happens once we decide to deploy?
Security and assurance work for deployed autonomous systems is a separate practice under our sister brand, AgileHippo. We make the handoff explicit rather than folding it into this engagement.
“The moment AI has to move a physical object in the real world, the rules change. This engagement teaches you what actually changes and why.”Ben Manning
Commit capital to physical automation with a defensible basis for the decision.
From sensor fusion to simulation, build the judgment physical AI requires.
Start With a Capability Assessment