Rebuilding Material Handling
with Intelligence

We are not building a warehouse.
We are proving a new control paradigm.

Material handling is still rule-based

Rigid PLC systems. Hard-coded logic.

AI control layer for logistics

Watch the control layer observe flow, decide a merge action, and send coordinated velocity commands.

1. Sense

Package position, conveyor occupancy, and merge-zone state are continuously observed.

2. Simulate

The digital twin predicts how flow will behave before the real system commits.

3. Decide

The AI policy chooses when to release, hold, accelerate, or slow each conveyor zone.

4. Control

Commands are pushed to the physical control layer while spacing and throughput stay stable.

Real System Demo

Simulation to real-world

Why Us

We come from the MHE world. We understand real systems.

This isn’t exploration. It’s execution.

Every conveyor becomes intelligent

Software-defined infrastructure. Continuous optimization.

Contact

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