Pilots & sales
Scoping a pilot, modelling ROI or discussing an enterprise agreement. sales@slicium.com
Tell us which line loses the most yield, giveaway or labour hours. We will tell you honestly whether Slicium can move it, and how we would measure that.
A specialist replies within one business day. No data leaves your plant without your approval.
Scoping a pilot, modelling ROI or discussing an enterprise agreement. sales@slicium.com
Integration, edge deployment, connectors and the developer preview. engineering@slicium.com
Security pack, validation protocols and audit evidence formats. security@slicium.com
OEMs, integrators and MES vendors shipping Slicium-ready autonomy. partners@slicium.com
Media, analyst briefings and speaking requests. press@slicium.com
Roles, referrals and speculative applications. careers@slicium.com
A specialist who knows your species and workflow, not a generic SDR sequence.
Thirty minutes on volume, systems, mandate and the number you want to move.
We build the case with your line data and scope the pilot, integration and security review.
8–12 weeks from shadow baseline to a measured result against the agreed metric.
The specific line and step you want to improve — deboning, grading, inspection, portioning or packing.
Yield, giveaway, foreign-material escapes, labour hours or throughput consistency.
The cutting, grading, X-ray, portioning and MES systems already on the line.
Who needs to approve a pilot: operations, quality, IT/OT and security.
Every plant gets isolated data, models and vector stores. Cut recipes and species models never cross a tenant boundary — federated learning shares patterns, never your product IP.
Immutable logs link sensor frames, model version, autonomy level, approvals, overrides and outcomes for every agent action — built for recall defence and model governance.
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.
Design-partner and pilot plants. Names shown are representative programme cohorts. [PLACEHOLDER]
“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]
Enterprise conversations start with your security and food-safety teams in the room.
One control plane for every plant, line and cell. Roll a validated cut program from one site to twenty with staged approval.
Fine-tuned anatomy, grade and yield models for your species mix, specs and customer cut sheets — trained on your supervised corrections.
99.9% uptime target, named solutions engineers, on-site commissioning and 24/7 response aligned to your shift patterns.
That variability is the whole point. Fixed automation fails because it repeats one motion; Slicium perceives each animal’s anatomy — bone position, seam location, fat/lean boundary — and plans a cut path, blade force and seam-follow specific to that carcass. The cut is validated against a digital twin that predicts yield before the blade moves.
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]
One line. One metric. Eight weeks to an answer you can defend.