CapabilitiesSignature practice
Put intelligence into physical operations, where it pays back.
Where do robotics, digital twins and immersive systems pay back, and what must be true to run them?
Robots, sensors, digital twins and immersive systems are converging into one operating fabric. We size where it creates value, design the architecture on open standards, and get process, regulation and accessibility right from the start.
Where value is created, and where interoperability is decided. Source: Hkdolts reference architecture.
Robots and twins only compound value when machine data means the same thing across vendors. Open manufacturing-data standards are the precondition for physical AI that scales beyond a single line or supplier.
Source: MTConnect, open standard for manufacturing data interoperability
Pixar, Adobe, Apple, Autodesk and NVIDIA founded an alliance to standardize OpenUSD so 3D content moves between tools. Digital twins, simulation and immersive work are converging on that shared scene description, and so should architecture decisions.
Source: Alliance for OpenUSD
The forum’s published use cases now specify that the same virtual world must deliver a consistent experience across browser, phone and headset, including accessibility. Programmes that design for one device will pay to retrofit the rest.
Source: Metaverse Standards Forum use case MSF2025-COE-001, Consistency of Experience
Eight capabilities, each defined by what the client receives.
A prioritized use-case portfolio and a staged, gated investment path, before capital goes into robots or sensors.
A reference architecture from perception and control to enterprise systems, with machine data on open interoperability standards.
The twin as the governed system of record for physical operations, used to test decisions before they are made.
The process frontline teams run, with roles, controls and safety designed in.
Readiness scored, use cases prioritized against the industry’s published portfolio, and delivery run to a governed framework.
Obligations across markets mapped to the product and data decisions behind an immersive system.
Accessibility designed into the scene itself, on open 3D standards, so content works for every user and every platform.
A controlled proving ground across robotics, immersive, identity and provenance, to test before scaling.
Investment in robotics, twins and immersive systems that follows a staged, governed path to measurable return.
A strategy and architecture diagnostic, then pilots in a controlled testbed, then a programme we build, operate and transfer.
Selected work behind this practice.
What we didStrategy, reference architecture and operating process for robotics and digital twins
The impactInvestment follows a staged, gated path
What we didContribution to the open standard for manufacturing data interoperability
The impactEquipment data carries one meaning across vendors
What we didScored readiness with each gap mapped to a delivery action, plus a delivery framework
The impactProgrammes move from readiness to delivery, gap by gap
What we didAn interactive diagnostic of regulatory obligations for immersive systems across markets
The impactProduct teams see which obligations apply, and what alignment costs
What we didNative prototypes on the open 3D scene standard for blind and single-switch users
The impactAssistive needs are designed into the scene itself
What we didAnalysis of every use case published by an industry forum, with a flagship programme concept
The impactThe forum sees where demand concentrates and where standards are missing
Published perspectives on the questions behind this practice.
A profile of Nvidia’s role in the industrial metaverse: its platforms, the applications they enable, and use cases from digital twins to robotics simulation.
An overview of Meta’s metaverse strategy, its virtual and augmented reality devices, and the social and enterprise platforms built on them.
What Universal Scene Description is, how its object model composes a scene from layers, and the features that let it scale across production pipelines.
Tell us where you stand. We will reply with how we would approach it.
From the United States to leadership teams worldwide, virtually or on site.
