Digital twins for operational clarity
We design and build digital twins that unify physical assets, engineering data, and operational workflows into a single source of truth built for decisions, not just display.
Discipline
Engineering visualisation
Platform type
Data + workflow systems
Environment
Infrastructure & industrial
Delivery
Discovery to production
Overview
What a digital twin platform is
A digital twin is not a 3D model. It is a structured digital environment that mirrors a real asset, facility, or infrastructure network — connecting engineering information, operational data, and workflow context in one interface.
The result is a platform that can support decisions, not just display information. Asset state, inspection history, anomaly registers, intervention records, and workflow approvals coexist in a system that is traceable, reviewable, and built for real operational use.
Challenges
Problems it solves
Engineering-led organisations operating complex physical systems face a consistent set of problems. Digital twins address them through structure, integration, and operational design.
Fragmented data
Engineering records, inspection data, and operational signals exist in separate systems. No single view shows the complete picture, and assembling it manually takes time that should not be spent.
Weak asset visibility
Large or complex infrastructure is difficult to understand through documents and dashboards alone. Spatial context is lost in translation, and decisions are made with incomplete information.
Disconnected reviews
Risk assessments, planning decisions, and approval workflows happen across email, spreadsheets, and offline documents. Nothing is connected, and changes are difficult to trace.
Poor traceability
When records are fragmented, audit trails become difficult to reconstruct under scrutiny — particularly in high-compliance environments where accountability is non-negotiable.
Inefficient handoffs
Teams lose time translating between disciplines, formats, and systems when information is not structured and connected. Decisions get delayed and context gets lost.
What's included
What the platform includes
A digital twin platform is a composed system, not a single tool. These are the structural layers that define how the system functions in production.
Asset data model
A structured representation of assets, components, assemblies, and their relationships — the foundation everything else is built on.
- Asset hierarchy and taxonomy
- Attribute and metadata schema
- Versioned and auditable records
3D environment
An interactive visual layer tied to the asset model with real data surfaced at the point of inspection — not a standalone visualisation.
- Asset-bound 3D environment
- Contextual overlays and system states
- Performance-optimised rendering
Data integration layer
Connects engineering data, operational signals, and external systems so the platform reflects current reality rather than a static snapshot.
- Engineering data integration
- Real-time and historical signals
- API and system connectivity
Workflow engine
Structured processes for scoping, work-pack creation, approvals, evidence capture, and sign-off — replacing manual handoffs with controlled flows.
- Scope and work-pack management
- Approval and review workflows
- Evidence capture and digital sign-off
Governance model
Audit-ready records, role-based controls, and structured sign-off that support compliance without creating operational overhead.
- Complete audit trail and history
- Role and access controls
- Compliance-aligned record structure
Work
Systems we have built
PipelineSentry and PlantSentry demonstrate what production-grade digital twins look like in practice — real systems operating in engineering-critical environments.
Digital Twins
PipelineSentry™
A portfolio-scale subsea digital twin for pipeline integrity, risk management, and confident lifecycle decisions — unifying inspection history, anomaly registers, and operational workflows in one authoritative platform.
Digital Twins
PlantSentry
An inspection management platform for LNG facilities that integrates structured workflow governance with a contextual 3D plant environment — enabling inspection programmes that run with clarity and accountability.
Approach
How we structure delivery
Complex platforms require disciplined delivery. We structure engagements in stages that reduce risk and build confidence before full production investment.
Discovery
Understand the environment, data sources, decision workflows, and governance requirements the platform must support before any design begins.
Architecture
Design the system model, data integration approach, and visual environment before a line of code is written. Architecture decisions taken here have compounding effects.
Pilot
Build a focused implementation that validates the architecture against real operational conditions and surfaces any structural assumptions that need to change.
Production
Full platform development with complete workflows, integrations, governance, and operational interfaces — built on the foundations established in the pilot.
Evolution
Ongoing development as the asset base and operational requirements grow. Most platforms change significantly after launch, and that is planned for from the start.
Who it's for
Designed for engineering-led organisations
Digital twins are most valuable to teams managing complex physical systems where operational clarity and structured decision support are critical.
Roles
Sectors
Start with strategy
A digital twin platform for your environment
Tell us what you operate. We'll design a platform that gives your team a single, structured view of the assets that matter most.
Tell us about the project
A short description of the problem, the context, and what you need to achieve is enough to get started.
We scope it together
We will map the constraints, define what is realistic, and put together a build plan that can actually be delivered.
We build and ship it
Production-grade delivery with clear communication throughout. One team, one build, no gaps in between.