Commission your data centre before it exists.

Design it. Build it. Run it. One model.

1. Design

   Drawings in, connected model out.

   TwinDesign Design and study the facility: single lines, cooling, studies and compliance.

   TwinSync Custom AI models that turn your drawings into a connected, checked model.

2. Build

   Tested before it's built.

   Emulators + vPLC Write PLC code for any vendor, including CDU, chiller and switchgear controllers, and test it against a simulated plant.

3. Commission

   Same tests, on site.

   L1–L5 and integrated systems tests (IST), including liquid cooling, CDU and BESS, run on the emulated plant, then on site through phased energisation. Sign-offs kept as Tier evidence.

4. Operate

   Any vendor, no lock-in.

   Watch and control the live facility beside your existing BMS and EPMS, with concurrent-maintainability checks before every MOP.

5. Maintain

   MOPs and LOTO, never retyped.

   Asset register, work orders and procedures from one model.

Built for AI-era data centres.

• Schedule57%

  of data‑centre projects ran three or more months late in 2025.

  JLL, 2026
  →

  Find faults before site.

  Controls and sequences tested against an emulated plant before equipment lands.

• AI load swings30–100%

  rack power draw can swing in milliseconds on synchronised AI training workloads.

  NVIDIA (vendor), 2025
  →

  Simulate the swing first.

  GPU load transients run against UPS, BESS, generators and CDUs in the design.

• Design risk16%

  of major human-error outages name data‑centre design issues or omissions.

  Uptime Institute, 2026
  →

  Checked as it's drawn.

  Compliance checks and power and liquid-cooling studies run in the model.

• Power risk45%

  of impactful outages in 2025 were power-related; UPS, transfer switch and generator failures lead the causes.

  Uptime Institute, 2026
  →

  Rehearse the failure on the twin.

  Test every change and failure scenario on the model before it touches the live floor.

• Procedures59%

  of major human-error outages cite staff failing to follow procedures; 36% cite incorrect procedures.

  Uptime Institute, 2026
  →

  Procedures from the model.

  MOPs, EOPs and LOTO generated from the twin and kept current.

What the industry says

• “Managing human error is less about eliminating mistakes and more about designing systems that anticipate and mitigate them.”

• “The nearer-term value is lower commissioning risk and faster deployment.”

Start where you are.

• Augment what you run

  Add AI design, emulated testing and generated procedures to the tools and systems you already have.

• Or replace the stack

  One model instead of a chain of vendors and handoffs. No gaps between tools, nothing lost in translation.