Cut-and-Debone
Robotic cutting and deboning with yield-aware planning.
Autonomous operations layer for protein (meat, poultry and seafood) processing — robotic cutting and deboning, AI vision grading, X-ray foreign-material detection.
Slicium closes the loop on protein processing: robotic cutting and deboning, AI vision grading, X-ray foreign-material detection, portion and pack control, robotics and yield and throughput orchestration.
Every line deployment produces labelled cut, grade and inspection traces that train the next model, tightening the loop from carcass to portion.
| Detail | Value |
|---|---|
| Stage | Seed |
| Category | Physical AI |
| Year | 2026 |
| Website | slicium.com |
| Headquarters | Not disclosed |
| Raised | $1.5M |
| Investor | 10xC |
| Model | Per-line software subscription with a yield-outcome component. |
| Measured by | Yield per carcass, detection sensitivity, portion conformance, lines expanded per customer. |
Every deployment on slicium.com writes labelled traces back into the model, so the system generalises across plants, alloys, grades and geometries.
Robotic cutting and deboning with yield-aware planning.
AI vision grading of cut, trim and portion.
X-ray and vision foreign-material detection.
Portioning and pack control.
Robotics and handling across the line.
Yield and throughput orchestration.
Protein processing is a yield business where a cutter who debones well can be worth a point of margin, and the people who can do it are scarce and hard to retain. Foreign-material recalls are existential.
Slicium encodes the cut and the guard. The buyer is a protein processor paying in hard currency; the wedge is one cutting or inspection step, and yield is the number that opens the next module.
Owns the processor relationships, the pilot programme and the commercial model.
Owns the vision and robotic models, the edge runtime and the safety architecture.
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