Poultry
Front-half and rear-half deboning, breast and tender harvesting, wing segmentation, fillet portioning and fixed-weight batching at line speeds above 10,000 birds an hour.
Solutions
Built for protein.
Built for protein.
Not adapted to it.
Generic industrial vision does not know a scapula from a keel bone. Slicium is trained on species anatomy, cut specs and food-safety standards from the first line of code.
By species
Four species, one platform.
Anatomy models, cut specs and grade standards differ per species. The loop does not.
Pork
Primal fabrication, loin and belly separation, seam-following trim to spec, lean/fat estimation and giveaway control on fixed-weight retail packs.
Beef
Carcass grading and marbling assessment, rib and chuck fabrication, yield prediction before break, and trim-to-target lean control.
Seafood
Filleting and pin-bone detection, skin and belly-flap trim, freshness and defect grading, and portioning against exacting export specs.
By outcome
Start with the number your plant is losing on.
Recover the meat left on the bone
Fixed automation cuts the average carcass. Slicium cuts this one — seam by seam — recovering saleable product without over-trimming premium muscle.
- Per-carcass cut path and blade force
- Predicted versus realised yield per cut
- Automatic spec compliance checks
- Yield attribution by shift, cell and program
Land on target weight, every pack
Portioning that overshoots bleeds margin silently at enormous scale. Predictive weight control closes the gap between target and actual.
- 3D geometry to weight prediction
- Fixed-weight batch optimisation
- Live giveaway per SKU and per line
- Closed loop with checkweighers
Prevent the recall, prove the control
Detection alone flags. Slicium detects, rejects, routes and records — producing the evidence chain a regulator or customer audit will ask for.
- Fused X-ray, RGB and hyperspectral detection
- Deterministic reject and rework routing
- HACCP control-point linkage
- Immutable frame-to-verdict trail
Take people off the most dangerous work
Tens of thousands of knife cuts a shift, in a cold wet room, is where injuries and turnover come from. Autonomy takes the blade; people take the judgement.
- Reduce dependence on scarce cut-floor labour
- Fewer repetitive-strain and laceration exposures
- Consistent output independent of staffing
- Operators supervise exceptions, not motions
Impact
What moves when the loop closes.
4.1%
Average saleable-yield uplift on pilot deboning lines [PLACEHOLDER]
61%
Reduction in weight giveaway per fixed-weight pack
38 ms
Median foreign-material reject decision at the plant edge
99.9%
Plant-edge runtime uptime target with fail-safe line stop
By workflow
Each line has one number that matters most.
Fabrication and deboning lines
Yield is decided in the first ten centimetres of every cut. Slicium plans that cut against the carcass in front of it and validates it in the twin before the cell moves.
- Seam-following primal separation
- Bone-chip suppression
- Trim-to-spec lean targeting
- Program rollout across sister lines
Inspection and screening lines
A missed bone chip, metal or plastic fragment can end a brand. Multi-sensor fusion catches what a single detector cannot, and records why it acted.
- Sub-50 ms reject decisions [ASPIRATIONAL]
- Contamination and defect classes per species
- False-reject reduction versus threshold detectors
- Full recall evidence graph
Portioning and pack lines
Giveaway compounds every second of every shift. Predictive control turns a statistical loss into a managed one.
- Per-pack weight prediction
- Batch composition optimisation
- Scrap and rework routing
- Cold-chain and line-balance flow
Adoption
From shadow to autonomy in four gates.
Nothing goes autonomous until measured accuracy and twin validation clear the gate.
-
1
Shadow
Slicium observes your line, predicts every decision, and reports accuracy against your existing baseline. Zero production risk.
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2
Advisory
Operators see recommendations in real time — cut adjustments, grade calls, reject flags — and accept or reject them. Every correction trains the model.
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3
Supervised autonomy
The agent acts within a bounded envelope with human approval on high-impact decisions and automatic escalation below confidence thresholds.
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4
Graduated autonomy
Autonomy level rises per workflow as the evidence supports it, with the assurance graph recording who approved what, and when.
Proof
Operators, engineers and quality leads.
“The line does not care that every bird is different — Slicium does. We stopped programming a machine and started supervising an operator that adapts to each carcass.”
“Giveaway was the quiet leak nobody could close. Watching the portioner hold target within a couple of grams, shift after shift, changed the economics of the whole pack line.”
“What sold my team was the audit trail. Every reject links back to the frame, the model version and who approved the autonomy level. That is what a recall investigation actually needs.”
Design-partner quotes are composite and pending publication approval. [PLACEHOLDER]
Fits your floor
Connectors for the equipment you already own.
Cutting & deboning
- Robotic primal cutting cells
- Deboning and trimming lines
- Blade force and seam controllers
- Cell safety and E-stop interlocks
Grading & inspection
- Vision and hyperspectral graders
- Carcass grading cameras
- X-ray and metal detectors
- Checkweighers and rejectors
Portioning & packing
- Portioners and slicers
- Fixed-weight batching
- Packing and palletising robots
- Labelling and traceability
Fit
Who Slicium is built for.
| Criterion | Strong fit | Not a fit yet |
|---|---|---|
| Volume | Processors with throughput that makes a point of yield material | Artisanal shops with negligible volume |
| Systems | Existing cutting, grading, X-ray, portioning and MES with API or OPC access | Fully manual sites with no automation to integrate |
| Mandate | Executive pressure on labour, giveaway, yield or food safety | Exploratory interest with no owner or budget |
| Method | Willing to run a paid pilot with a defined success metric | Seeking a generic horizontal dashboard |
Compliance
Aligned to the standards your auditors use.
SOC 2 Type II (in progress)HACCP-alignedUSDA-FSISEU 853/2004GDPRISO 27001 (planned)
Fail-safe by design
Blade, robot and line stops are deterministic and independent of the cloud. Graceful degradation returns the cell to a safe state if perception confidence drops.
Data residency & on-prem
Run fully on-premise on the plant edge, in your VPC, or hybrid. Sensitive producers can keep every frame inside the facility.
SSO, SAML and RBAC
Enterprise identity, role-based approval gates, and separation of duties between operations, quality and engineering.
Scale
Standardise across every site you operate.
Multi-site fleet management
One control plane for every plant, line and cell. Roll a validated cut program from one site to twenty with staged approval.
Custom species and cut models
Fine-tuned anatomy, grade and yield models for your species mix, specs and customer cut sheets — trained on your supervised corrections.
Dedicated SLAs and support
99.9% uptime target, named solutions engineers, on-site commissioning and 24/7 response aligned to your shift patterns.
Questions
Solution questions.
Slicium runs a graduated autonomy model: shadow, then advisory, then supervised autonomy, each gated by measured accuracy and twin validation. Below the confidence threshold the cell degrades to a safe state, escalates to a human, or routes the product to rework — it never guesses on a food-safety decision.
No. The perception and control loop runs entirely on the plant edge. Cloud is used for training, fleet management and reporting, and can be disabled for on-prem or air-gapped deployments. Federated learning shares model improvements without exposing plant recipes, supplier data or tenant images.
A typical pilot runs one line for 8–12 weeks: two weeks of integration and shadow-mode baselining, four to six weeks of advisory operation, then graduated autonomy against the agreed success metric. Connectors for common cutting, grading, X-ray, portioning and MES systems are pre-built. [PLACEHOLDER]
Cells are specified for cold, wet, IP69K washdown environments with daily caustic sanitation. Perception enclosures, cabling and edge compute are selected for condensation, temperature swing and high-pressure cleaning, and validated with your sanitation crew during commissioning.
Start with one line. Prove the yield.
Run a paid pilot on a single processing line with a defined yield, giveaway or labour success metric. Shadow mode first, autonomy only when the numbers earn it.