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Services

Digital twin services, end to end

Start with a two-week discovery or a prototype in weeks; grow into a connected, simulating twin that your team operates. Every engagement ends with something people can open and use.

Twin Strategy & Discovery

Find the questions a twin should answer, and the data it needs.

  • Use-case and value workshop with operations, engineering and finance
  • Data and systems audit: BMS, SCADA, WMS, ERP, POS, historians
  • Target maturity (generation 1–4) and an architecture you can own
  • Business case with measurable success criteria

Deliverables: Roadmap, data map, architecture, business case

Rapid Twin Prototype

A clickable, browser-based twin of your site or process — in weeks, not quarters.

  • Built from drawings, specifications, public data and clearly labelled synthetic data
  • 3D or 2D, desktop and mobile, no plug-ins
  • Scenarios your stakeholders can run themselves
  • Hosted privately, with optional access codes

Deliverables: Live prototype URL, model documentation, demo script

Data Integration & Connected Twins

From prototype to a twin that knows what is happening now.

  • BACnet, Modbus, OPC UA, MQTT, historians, REST and file feeds
  • Semantic models such as Brick and asset hierarchies
  • Observed vs expected vs estimated, with data-quality flags
  • State estimation and calibration against measured data

Deliverables: Connected twin, data pipeline, point model

Simulation, Optimisation & What-if

Run the decision in the twin before you run it in the world.

  • Physics, energy-balance and discrete-event models
  • Baseline twins so savings are measured, not claimed
  • Counterfactual futures from any moment, with causal explanations
  • Dispatch, slotting, control and purchasing optimisation

Deliverables: Validated models, strategy comparison, M&V method

AI Copilots on Twins

Language models grounded in twin state — they answer with data and act through the twin.

  • Copilots that explain anomalies, KPIs and causal chains
  • Tool use that drives the view, scenarios and workflows
  • Runs in your cloud (e.g. Claude on Amazon Bedrock)
  • Multilingual by default

Deliverables: Grounded copilot, tool schema, evaluation set

Operate & Evolve

Keep the twin calibrated, fast and trusted as the asset changes.

  • Deployment in your AWS account or ours, infrastructure as code
  • Recalibration, regression tests and visual acceptance sets
  • Performance budgets on real devices
  • Roadmap from generation 3 to 4

Deliverables: SLA, monitoring, release cadence

Delivery

Five steps, each one useful on its own

You can stop after any step and keep what was built: a roadmap, a clickable prototype, a connected shadow, a validated simulation, or an operated twin.

  1. Discover

    Questions, data, value

  2. Prototype

    Clickable twin in weeks

  3. Connect

    Live data, calibrated state

  4. Simulate

    Scenarios, baselines, futures

  5. Operate

    Measured value, every release

Engagement models

Pick the shape that fits the decision

Discovery sprint

Two to three weeks. Workshops, data audit, target generation, architecture and business case.

Prototype

A fixed-scope, clickable twin of your site or process for stakeholders, investors or a tender.

Pilot

A connected twin on live data for one site, with success criteria agreed up front and measured against a baseline.

Platform partnership

Roll-out across a portfolio of sites, operated together, with a roadmap from generation 3 to 4.

Have a system you want to see, question or rehearse?

Tell us about the site, the process and the decision. We will come back with what a twin could answer, which data it needs, and how fast a prototype can be in front of your team.

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