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Edge Multicloud
Edge Multicloud
Clarity Guiding Decisions

OpenUSD / Omniverse-Based Digital Twins

We build deterministic digital twins and run scenario‑based simulations that allow executives to test trade‑offs before capital is committed.

This is not planning software and not an AI black box. It is decision‑grade simulation.

Simulation that Leads to Informed Decisions and Capital Efficiency We design and operate decision-grade digital twins built on OpenUSD, enabling organisations to simulate complex systems, test scenarios, and make confident investment and operational decisions before committing resources. 
Our digital twins are not visualisations and not planning tools. They are deterministic, auditable models designed to answer one question: 
"What happens if we change this decision?"
What We Mean by a Digital Twin
A digital twin is a living, structured representation of a real system; energy, telecom, or infrastructure, that can be simulated repeatedly under different assumptions. It combines:

→ Real-world data (terrain, assets, demand, energy)

→ Deterministic logic and physics

→ Scenario comparison and stress-testing

    The result is clarity, not complexity.

    Why OpenUSD
    OpenUSD provides a neutral, composable foundation for digital twins.

    Why we use it
    → Separates data, logic, and scenarios cleanly
    → Supports versioning and “what-if” analysis
    → Avoids vendor lock-in
    → Scales from small pilots to national systems
    → Integrates simulation, analytics, and visualisation
    OpenUSD allows us to treat reality as a structured scene, not a collection of disconnected files.

    What Situations are the best fit for Digital Twins
    → High-capex decisions
    → Situations where mistakes are expensive
    → Complex operational environments

    How Engagements Work
    1. Define the decision → What must be decided, and under what constraints?
    2. Build the digital twin → Create a structured OpenUSD representation of reality.
    3. Run scenarios → Simulate alternatives, risks, and sensitivities.
    4. Deliver decisions → Provide clear, auditable options with implications.

    What Services EMC Provides

    Digital Twin Design & Build

    We create OpenUSD-based digital twins that represent:

    • Physical assets (sites, towers, power systems)
    • Environment (terrain, buildings, access)
    • Operational constraints (energy, capacity, uptime)

    Delivered as
    • A structured USD scene
    • Documented assumptions
    • Reusable scenario layers

    Scenario Simulation & Stress Testing

    We run deterministic simulations to answer questions such as:

    • What changes if demand grows faster than expected?
    • Where do energy constraints limit performance?
    • Which option delivers the best outcome under uncertainty?

    Delivered as

    • Side-by-side scenario comparisons
    • Trade-off curves
    • Downside and risk analysis

    Executive Decision Outputs

    We translate simulation results into decision-ready outputs, not raw data.


    Delivered as
    • Clear recommendations and options
    • Assumption transparency
    • CFO / COO / CTO-ready summaries

    Ongoing Digital Twin Operations

    For long-term engagements, we maintain and evolve the digital twin as conditions change.

    Delivered as

    • Updated scenarios
    • Periodic re-runs
    • Continuous decision support

    For Executives

    For Executives
    • Better decisions under uncertainty
    • Transparent assumptions
    • Defensible investment choices

    For Operations

    For Operations

    • Models grounded in real constraints
    • Decisions that hold up in live environments
    • Reduced rework and firefighting

    For Finance

    For Finance
    • Improved capital efficiency
    • Lower downside risk
    • Faster alignment before spend

    Digital Twins vs. Planning Tools

    AspectDigital Twin (EMC/OpenUSD)Traditional Planning Tools
     Primary PurposeSupport investment and operational decisions  Produce technical plans, e.g. coverage, layouts.
     ScopeEnd-to-end system view: environment, assets, energy. cost, risk. Narrow technical domain, typically RF or engineering
     Core question answered What happens if we change this decision? What is the optimal technical design?
     TransparencyDeterministic and auditable assumptions Often tool-specific and partially opaque
     Vendor neutrality Fully vendor-neutral May be vendor-aligned or proprietary
     Scenario comparison Native capability (side-by-side trade-offs) Limited, manual, or indirect
     Executive usability Designed for decisions at all levels from engineering, marketing teams to CFO / COO / CTO Primarily built for engineering teams
     Typical outputs Deterministic and auditable assumptions Often tool-specific and partially opaque

    EMC uses OpenUSD-based digital twins to turn complex systems into informed decisions and capital-efficient outcomes.