Cross-machine perception
Board caliber and moisture, print registration and color, die and anvil wear, glue temperature, fold squareness and stacking, sensed together, not in silos.
Products
Each product maps one-to-one onto the physical converting flow, board making → printing → die-cutting → folding & gluing → end-of-line, all orchestrated by a physics-informed digital twin.
One platform, six agents
Every product shares the same plant-edge data flywheel, cross-vendor connectors and serving fabric, so the ecosystem compounds.
Autonomous corrugator & board-bond control
Runs the corrugator to hold warp-free, on-strength board across grades and humidity.
Explore Corvex → PrintingAutonomous registration, brand-color & print-defect control
Keeps every impression on-register and on-brand across flexo, litho and digital.
Explore Chromata → Die-cut & creaseAutonomous die-cut, crease & nesting yield
Maximises board yield and holds clean cuts and sound creases.
Explore Kreasa → Fold & glueAutonomous folder-gluer fold-and-glue control
Eliminates skips, fishtails and misfolds for square, sound boxes.
Explore Gluvex → End-of-linePhysical-AI robotic feeding, stacking & palletizing
Drives robotic feeding, stacking, bundling and palletizing at line speed.
Explore Palvex → Twin & OEEConverting-line-and-box twin + waste / energy / OEE
Simulates the line to hit quality and yield before the run, and orchestrates the agents.
Explore Twinflo →At a glance
| Product | Stage | What it does | Primary NVIDIA HW |
|---|---|---|---|
| Corvex | Board making | Autonomous corrugator & board-bond control | Jetson Orin / Thor · DGX · Omniverse |
| Chromata | Printing | Autonomous registration, brand-color & print-defect control | Jetson Orin / Thor · DGX · Cosmos |
| Kreasa | Die-cut & crease | Autonomous die-cut, crease & nesting yield | Jetson · cuOpt · Omniverse / Isaac |
| Gluvex | Fold & glue | Autonomous folder-gluer fold-and-glue control | Jetson Orin / Thor · Isaac · Cosmos |
| Palvex | End-of-line | Physical-AI robotic feeding, stacking & palletizing | Jetson · Isaac Sim / Lab · DGX |
| Twinflo | Twin & OEE | Converting-line-and-box twin + waste / energy / OEE | OVX / RTX · Omniverse / Modulus · cuOpt |
Ecosystem thesis
Board strength informs fold and stacking; print and fold defects inform makeready; the twin calibrates against every run. The result is a defensible, cross-machine converting-quality-and-waste dataset.
Why one platform beats point tools
Board caliber and moisture, print registration and color, die and anvil wear, glue temperature, fold squareness and stacking, sensed together, not in silos.
One twin tunes setup across corrugation, print and die/fold so the whole line reaches spec with less trial waste.
The more machines Foldeon runs, the better every agent gets, a moat single-machine vendors cannot match.
Cross-vendor connectors mean one contract, one edge fabric and one security model across your mixed fleet.
The value isn’t six tools. It’s that the corrugator, the press and the folder-gluer finally share one picture of quality, and act on it.
Bond strength
Color ΔE
Crease integrity
Palletize rate
Pick the wedge with the clearest ROI. We’ll show it running against a real job.