Sector

Engineering intelligence for industrially complex systems.

Software and twins for systems where physics, power, and operations meet.

Digital twins, electrical validation, and applied simulation for platforms where failure is operationally and commercially expensive — manufacturing plants, critical infrastructure, and multi-site industrial estates.

Discuss industrial systems All sectors

How we serve this industry

We turn fragmented plant knowledge into a computable electrical and systems twin — so capital projects, expansions, and operations teams share one validated model instead of competing PDFs.

Use case

A multi-site manufacturer needs to validate a plant electrical expansion against existing protection and load margins before the outage window — with a twin the site team can keep current after handover.

Illustrative programme

Brownfield plant electrical twin — illustrative

Scope one critical distribution board and feeder set into LoomLab, run load/fault validation on a proposed expansion, and leave a change-control pack so the next modification updates the twin with the plant.

Fictional but realistic — not a client case study or logo claim.

The engineering challenge

Complex industrial platforms combine power distribution, control networks, sensing, compute, and mechanical plant — usually evolved over years of incremental change.
Without a computable model, teams cannot see load margins, fault paths, or configuration drift until commissioning exposes them.
Operators need software that reasons about the physical system — not generic IT tooling bolted onto engineering workflows.

Our approach

Map the real system: electrical, control, and operational interfaces
Build a computable twin with enforceable validation rules
Stress architecture under load, fault, and change scenarios
Deliver software and documentation teams can own after the engagement
Define a phased path from diagnostic to pilot to production tooling

What we deliver

Architecture and risk assessment of the target system
Digital twin or validation model scoped to the engagement
Physics-based and configuration checks relevant to the domain
Integration and change-management recommendations
Handover pack for internal engineering ownership

Capabilities

Multi-domain digital twin development for complex platforms
Electrical architecture modelling and physics-based validation
Engineering workflow software and automated design checks
Systems architecture review and technical due diligence
Lifecycle models spanning design, build, operate, and maintain

Standards awareness

IEC 61508 functional safety awarenessIEC 62443 industrial cybersecurity awarenessISO 9001 quality system awareness

Relevant products & next steps

Products →Methodology →Diagnostic →

Start with one real system

A 30-minute discovery call is free. A diagnostic engagement produces a scoped model, validation findings, and recommendations in one to two weeks.

Book a discovery call Learn about diagnostics

Engineering intelligence for industrially complex systems.

Software and twins for systems where physics, power, and operations meet.

The engineering challenge

Complex industrial platforms combine power distribution, control networks, sensing, compute, and mechanical plant — usually evolved over years of incremental change.

Without a computable model, teams cannot see load margins, fault paths, or configuration drift until commissioning exposes them.

Operators need software that reasons about the physical system — not generic IT tooling bolted onto engineering workflows.

Our approach

Map the real system: electrical, control, and operational interfaces

Build a computable twin with enforceable validation rules

Stress architecture under load, fault, and change scenarios

Deliver software and documentation teams can own after the engagement

Define a phased path from diagnostic to pilot to production tooling