Vision-guided handling
Feeding, stacking, bundling and palletizing across a changing product mix.
End-of-line · Palvex
Palvex
Physical-AI robotic feeding, stacking & palletizing.
- Palletize rate
- 1.4k/hr
- Cube utilization
- +11%
- Stack topple
- −80%
Finished boxes and cartons must be fed, stacked, bundled and palletized, high-mix, high-speed, physically demanding work that is hard to automate with fixed robotics. Blanks and bundles vary by job, board and count; stacks lean, topple or crush; pallet patterns change constantly.
The solution
The physical-AI robotic handling agent
Palvex drives vision-guided feeding, stacking, bundling and palletizing with learned grasp and place policies robust to blank and box variation and stack lean, generating GPU-optimized pallet patterns for stability, cube and due-date, validated sim-first with safety-guarded motion.
- Vision-guided feeding, stacking, bundling and palletizing across product mix
- Learned grasp/place policies robust to blank and box variation and stack lean
- GPU-optimized per-job pallet patterns for stability, cube and due-date
- Sim-first cell validation and changeover with safety-guarded motion
Palvex · liveAUTONOMOUS
Palletize rate1.4k /hr
Cube utilization+11 %
Stack topple−80 %
Changeover−50 %
On targeton target
Key features
What Palvex does
Learned policies
Grasp and place robust to blank/box variation and stack lean.
Optimized patterns
GPU-optimized pallet patterns balance stability, cube and due-date.
Sim-first changeover
Cells validated in simulation before they run, with safety-guarded motion.
1.4k/hr
Palletize rate
+11%
Cube utilization
−80%
Stack topple
−50%
Changeover
In the ecosystem
How it composes into the plant
Palvex is the end-of-line robotics pillar. It closes the perceive-decide-act loop, taking sound boxes from Gluvex and shipping them stacked, bundled and palletized.
- Shares the plant-edge data flywheel
- Uses cross-vendor machine & MES connectors
- Runs on the common Jetson / Triton / NIM fabric
- Validated by the Twinflo digital twin before every run
Under the hood
Deployment & hardware
| Aspect | Detail |
|---|---|
| Stage | End-of-line |
| Autonomy modes | Shadow · Assist · Autonomous |
| Perception | Edge vision + sensor fusion at line speed |
| Control | Bounded closed-loop setpoint moves within approved limits |
| Primary NVIDIA HW | Jetson · Isaac Sim / Lab · DGX |
| Digital twin | Twinflo (Omniverse) pre-run simulation |
−55%Manual handling labor
−80%Stack topple & crush
+11%Pallet cube utilization
−50%Changeover time
High-mix palletizing was our hardest cell to automate. Sim-first changeover made it practical.
Keep exploring
The other agents
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Corvex
Autonomous corrugator & board-bond control
Runs the corrugator to hold warp-free, on-strength board across grades and humidity.
Explore Corvex →PrintingChromata
Autonomous registration, brand-color & print-defect control
Keeps every impression on-register and on-brand across flexo, litho and digital.
Explore Chromata →Die-cut & creaseKreasa
Autonomous die-cut, crease & nesting yield
Maximises board yield and holds clean cuts and sound creases.
Explore Kreasa →Answers
Questions converters ask
Can we run Palvex on a single line first?
Yes. Palvex deploys on one machine under the Line tier so you can measure a baseline, run in shadow mode, and switch on control as ROI proves out.
Does it work with our existing machine and vendor?
Foldeon is built for mixed fleets. Cross-vendor connectors integrate the machine, its PLC and your MES/OEE, no rip-and-replace.
How do operators stay in control?
You choose the autonomy level per workflow, shadow (recommend), assist (approve each move) or autonomous, and every decision is logged and auditable.
See Palvex run your line
We’ll run Palvex in shadow mode against a real job and show the quality, waste and makeready curves.