Digital twins that predict and decide

A twin with no defined asset, KPI, or decision to support stalls at proof-of-concept and never earns a place in operations.

Real-time data sits in OT, IT, and supplier silos. The twin only stays accurate on structured, validated inputs, so the integration work is the project.

A twin built on hardcoded models cannot grow from one machine to a fleet or a plant. Scaling needs a modular architecture from the start.

Operational data carries IP and regulatory exposure, so it has to be protected from the architecture stage, not patched in before launch.

A twin that does not reach PLM, ERP, and MES becomes a side project no one consults when a real decision is on the line.

Without an update loop the twin and the asset drift apart, and operators stop trusting a model they know is stale.

Built Platform-Agnostic

LMS integration ERP & operational data Analytics dashboards

Web dashboard

Desktop and cloud

VR and AR

01

Define the asset, the questions, and the data to answer them.

02

Pull sensor, IoT, and operational data into one place.

03

Build the accurate 3D and behavioral model.

04

Add what-if simulation and predictive analytics.

05

Connect to SCADA, ERP, and your systems.

06

Make the twin viewable in web, VR, or AR.

07

Roll out and architect to grow past the pilot.

08

Keep the model accurate as the asset changes.

30+

Years on the market

900+

Projects delivered

150+

In-house experts

4.8

Clutch · 46 reviews

Proof in practice

Predict failures and fix on schedule, not after a stop.

Simulate changes before committing to the real asset.

Run risky scenarios on the twin, not the plant.

A live view means problems are caught early.

A digital twin is a live virtual copy of a physical product, plant, or system, connected to real sensor data so it behaves like the asset it mirrors. Program-Ace builds them on Unity and Unreal with cloud IoT platforms, reachable from the web, a desktop, or a VR headset, all from one source of truth.

The type follows the decision you need to make:

• product twins for design validation and monitoring
• process twins to tune a production line before changes go live
• system twins for grids, networks, and buildings
• plant twins for whole factories or sites
• predictive-maintenance twins that forecast failures

Each is built to a specific decision and update cadence.

As accurate as the data feeding it and the fidelity you pay for, which is why we agree a target accuracy up front. We validate it against measured behavior and add a drift-monitoring loop, so the twin keeps pace with the asset instead of slowly going stale.

It is worth it when it changes a decision. A good twin lets you test a change as a what-if and catch a failure before it reaches the floor, which a static dashboard cannot do.

The asset to mirror, the decision it must support, your available sensor data, and any CAD or BIM models you already hold. If the 3D side is thin, our 3D visualization team builds it, and we surface data-quality gaps early rather than late.

It plugs into the stack you already run:

• ERP, PLM, and EAM
• SCADA and IoT platforms
• MES on the production side
• your BI and analytics tools

Telemetry and simulation results flow back into those systems, so the insight reaches the person who acts on it.

An NDA is signed before any technical discussion. We run a secure SDLC, encrypt operational data in transit and at rest, and align with your OT-security and regulatory requirements from the architecture stage onward.

Cost depends on the asset, the fidelity, the real-time integration, and the systems we connect to, so a single-machine pilot and a plant-wide rollout sit far apart. We build on a modular architecture, so a pilot can grow to a fleet or a site without a rebuild. We work fixed-price for a defined project or hourly for evolving scope, with the estimate produced during NDA-protected discovery. Twins often use our VR and AR expertise for access.