Digital twin and AR/VR aren't just concepts — they solve real problems across industry and education. These case studies show where they've delivered, and the kind of work we do.
A shell-and-tube heat exchanger instrumented with IoT sensors and mirrored by a live model — predicting effectiveness and flagging performance drop as it happens.
A digital twin pipeline that detects fouling from live operating data and estimates how much useful life a heat exchanger has left — the kind of predictive maintenance industry relies on to avoid unplanned downtime.
An AR module letting learners explore an exploded view of complex equipment and follow its internal flow in 3D — the same approach industry uses to train technicians without stopping production.
A structured, multi-session program taking participants from the fundamentals of digital twins through to building a working model themselves — designed to leave real, retained capability behind.
More case studies are on the way.
As lab setups and programs are delivered, detailed write-ups with photos and results are added here. Planning something similar? Let's talk →
Digital twin and AR/VR technology carry across education and industry because they solve the same underlying problems.
Both a student and a plant engineer benefit from watching a system's internal behaviour they otherwise can't observe directly.
A validated twin forecasts performance and degradation — for teaching physics, and for avoiding costly industrial failures.
AR/VR lets people practise on complex or dangerous equipment safely, whether they're learning or upskilling on the job.