Manufacturing, plants, and infrastructure

Physical AI for your operation. Start with the right project.

We help you choose a first project that creates value quickly, then train your team to deliver it.

Engineers reviewing a 3D model of a mechanical assembly together

What physical AI is

Simulation, robotics, automation, and AI models working on your operation. Better decisions, earlier, for less.

Sim to real, real to sim

Every round makes the next decision better.

  1. Simulate

    Test the change before you make it.

  2. Deploy

    Take the decision to the real world.

  3. Capture

    Bring what happened back.

  4. Refine

    A more accurate model, every round.

Sim to realReal to sim Simulate Deploy Capture Refine

What we remove

Three barriers slow adoption. We remove all three.

  1. Hardware

    Without UME.StudioWaiting on GPU procurement.

    With UME.StudioAccelerated compute in any browser, day one.

  2. IT and security

    Without UME.StudioMonths of security review.

    With UME.StudioAn isolated sandbox. Nothing to install.

  3. Team capability

    Without UME.StudioNo one in-house knows where to start.

    With UME.StudioExpert instructors and office hours, start to finish.

From digital twin to global operations

One part, every step after it.

  • Jet turbine blade

    From digital design to global propulsion.

    1. Digital twin

    2. Manufacturing

    3. Inspection

    4. Parts storage

    5. Assembly

    6. Global scale

  • Vaccine

    From molecule to healthier communities.

    1. Digital twin

    2. Container

    3. Filling

    4. Inspection

    5. Packing

    6. Shipping

    7. Global distribution

  • Advanced manufacturing

    From precision parts to complex systems.

    1. Digital twin

    2. Manufacturing

    3. Inspection

    4. Parts storage

    5. Assembly

    6. Factory

  • Automotive

    From design to the road.

    1. Digital twin

    2. Manufacturing

    3. Inspection

    4. Assembly

    5. Factory

    6. Global logistics

  • Renewable energy

    From clean energy components to a sustainable future.

    1. Digital twin

    2. Manufacturing

    3. Inspection

    4. Storage

    5. Transport

    6. Clean energy at scale

Example project

A disrupted production line. Three decisions, tested first.

  • Production scenarios

    Which jobs run on shared equipment, and when, to recover output.

  • Equipment decisions

    What another machine would change, measured before anyone buys one.

  • Bottlenecks

    Where the constraint moves when demand or supply changes.

What it takes

Your team, our instructors, 3–6 weeks.

UME.StudioWhat it takes
Time
20–50 hours.Training and expert office hours across the POC life cycle keep the team productive.
Team
Up to 20 people.Cross-functional teams work best: engineers, data scientists, project managers, and leaders.
Prerequisites
None.A consultation finds the knowledge gaps, and the training is built to close them.
Outcome
A working proof-of-concept.On a project from your own operation.
Investment
Programs start at US$50,000.

Contact

Let's find the right first project.

Tell us about your operation. We will help you choose a project that creates value quickly.

Events

  • NVIDIA GTCSan Jose, CAPrimary ecosystem event
  • FED SUPERNOVAAustin, TXDefense innovation
  • ALL INMontreal, QCInternational AI conference