Site Twin Your operational digital twin for production, safety & maintenance.
Unify what you already have (assets, people, systems) into a shared operational picture, with faster decisions and stronger feedback loops, without replacing your existing systems of record.
Most sites do not need more dashboards.
They need a way to detect operating-environment changes quickly and turn that data into shared context and governed action, fast enough to matter. The Site Twin sits over your existing systems and data models, brings the right data into context at the right time through any browser, then links users back to approved controls and systems of record to act, so governance and business processes stay intact.
Throughput & Flow
- See where production is being lost, in near real time, across the value chain.
- Align short-interval actions to system constraints to mitigate losses right now.
Safety & Risk
- Persistent monitoring that escalates what matters and reduces near misses.
- Playback incidents and near misses in 3D for learning and prevention.
Maintenance & Uptime
- Connect work, faults and performance to the live operational picture.
- Move from reactive to predictive interventions where it pays back.
Sense → Decide → Act → Learn.
Faster loops, safer actions, better learning. This is the operating loop for physical AI. The same shape works whether the actor is a person, an AI agent, or an autonomous machine.
Sense
Fuse live and enterprise data and AI models into high-context operational signals.
Decide
Identify and quantify what's limiting outcomes, creating risk, and trending towards failure.
Act
Communicate, collaborate, escalate or intervene, using approved controls and your systems of record.
Learn
Compare plan vs. actual vs. forecast. Update playbooks and controls. Close the loop.
Autonomy at the edge, learning at the centre.
Every site runs its own loops based on local constraints and systems. Outcomes roll up to portfolio views, so a small central team can manage by exception, compare performance, and spread what works.
The goal is portfolio lift through site optimisation, not one-size-fits-all standardisation.
Start with an assessment.
We map your site's processes, systems, data locations, systemic problems and objectives. Then we tell you what you can do right now, and what you should do next, staged against your real constraints and current investments.
- Priority use casesRanked by value and feasibility against what you have right now.
- Data & capability gap analysisWhat you could do if you invested in capability X.
- Problem-specific benchmarkingWhat others with similar problems are doing to solve them.
Latest insights & innovations.
Physical AI Governance: How to Design and Run It at a Production Site
A practical framework for designing governance circuits and running them at production-site speed. The WEF wrote the theory; this is the system to close the gap.
Physical AI Needs a System Connector & Regulator, Not Just a Body & a Model
NVIDIA GTC 2026 declared physical AI the next industrial platform. The hard problem isn't the robot. It's governing how everything works together across an entire site.
We're Building a Digital Twin Partner Network. And We Want Scanning Companies In It
Turn your clients' digital-twin inquiries into high-value revenue. A seamless referral partnership for scanning, LiDAR and 3D-modelling firms.
Put asset health in context to effectively adopt predictive maintenance
How the Geminum Site Twin connects asset health, digital twins and predictive maintenance models to cut downtime, manage risk and unlock throughput gains.
Find out what your site can do right now. And what to do next.
A focused assessment, staged against your real constraints. Nothing gets ripped out. You walk away with a clearer operating picture and a plan you can act on.