Automation for the laundry floor.
We design and build systems that move, sort and inspect linen at industrial speed — from soiled returns through clean-side quality control. Less manual handling. Fewer escaped defects. Clearer operations.
Why plants automate
The floor still depends on hands and eyes.
Commercial laundries juggle hotel returns, mix classification, washing, finishing and quality — under labour pressure and rising guest expectations.
Labour-heavy soil sort
Dirty linen returns from hotels in mixed bags. Manual sorting is slow, ergonomic risk, and hard to staff.
Quality gaps on the clean side
Ironers and folders run faster than human inspection. Escaped defects become rewash, claims and guest complaints.
Little closed-loop improvement
Without measurement and feedback, the plant optimises by feel. We build systems that see, sort and improve.
Solutions
Three systems. One plant story.
From dirty linen back from the hotel to inspected product on the clean side — each machine is built for a real stage of the laundry.
Vision quality control
Threadscan
Clean linen · ironers & folders
AI defect detection at line speed — stains, holes and marks before dispatch.
Explore Threadscan →
Soiled linen sorting
SAMI-2
Dirty return · automated sort
Automated sorting for soiled linen returning from hotels — less manual handling.
Explore SAMI-2 →
Soiled linen sorting
SAMI-4
Dirty return · higher capacity
Higher-capacity automated soiled linen sorting for larger plants and volume peaks.
Explore SAMI-4 →Schematics are conceptual product visuals — replace with engineering drawings when available
Soiled linen
SAMI — automated sorting for hotel returns.
SAMI-2 and SAMI-4 are automated sorting machines for soiled linen coming back from hotels. They take mixed dirty loads off people and into a structured sort — before wash. Capacity and layout differ by model; the job is the same: safer, faster soil sort.
Clean-side quality
Threadscan — see the defect before the guest does.
On ironers and folders, Threadscan uses industrial cameras and AI models to detect textile defects in real time, then closes the loop with review, training and production analytics.
- · Line-speed classification
- · Operator review console
- · Continuous model improvement
Real-time detection
Cameras on ironers and towel folders classify stains, holes and marks at line speed.
Review & train
Operators flag noise, feed datasets, and deploy models that fit your linen mix.
Ops analytics
Throughput, utilisation and defect trends across devices and facilities.
Optional RFID
Extend into linen tracking when inventory visibility is the next problem to solve.
Who it’s for
Plants that run linen. Hotels that depend on it.
Next step
Tell us about your plant.
Soil sort, clean-side QC, or both — we’ll map which systems fit your lines and volume.