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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.
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.
Buyer pains
- Design intent fragmented across drawings, spreadsheets, and tribal knowledge
- No computable link between electrical design and operational behaviour
- Integration risk discovered late — during commissioning or production
- Internal tools that cannot scale beyond the original engineering team
- Validation that relies on manual review instead of enforceable rules
Illustrative programme (fictional)
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
Awareness ≠ certification. Chips below indicate domain familiarity — not claimed accreditation or compliance delivery.
IEC 61508 functional safety awarenessIEC 62443 industrial cybersecurity awarenessISO 9001 quality systems (awareness ≠ certification)
Start with one real system
A 30-minute discovery call is free. A diagnostic engagement produces a scoped review and prioritised findings in one to two weeks — depth depends on access to drawings, data, and the system.