Contact

Start with one line.

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.

Request a pilot

Tell us about your line.

A specialist replies within one business day. No data leaves your plant without your approval.

  • Paid pilot on one line with a defined yield, giveaway or labour success metric.
  • Integration review across your cutting, grading, X-ray, portioning and MES systems.
  • Food-safety and IT/OT security review pack for HACCP, USDA-FSIS and EU 853/2004.

We reply within one business day. No data leaves your plant without your approval.

How to reach us

Pick the right door.

Pilots & sales

Scoping a pilot, modelling ROI or discussing an enterprise agreement. sales@slicium.com

Engineering

Integration, edge deployment, connectors and the developer preview. engineering@slicium.com

Security & compliance

Security pack, validation protocols and audit evidence formats. security@slicium.com

Partnerships

OEMs, integrators and MES vendors shipping Slicium-ready autonomy. partners@slicium.com

Press

Media, analyst briefings and speaking requests. press@slicium.com

Careers

Roles, referrals and speculative applications. careers@slicium.com

What happens next

From first message to first cut.

  1. 1

    Reply within a day

    A specialist who knows your species and workflow, not a generic SDR sequence.

  2. 2

    Qualification call

    Thirty minutes on volume, systems, mandate and the number you want to move.

  3. 3

    ROI model & scope

    We build the case with your line data and scope the pilot, integration and security review.

  4. 4

    Pilot on one line

    8–12 weeks from shadow baseline to a measured result against the agreed metric.

What to expect

Our commitments to you.

1 day Response time to a qualified enquiry
30 min Qualification call — no slide deck
8–12 wk Typical pilot from integration to measured result
0 Data leaving your plant without written approval
Before you write

What helps us help you.

Line

Which line and workflow

The specific line and step you want to improve — deboning, grading, inspection, portioning or packing.

  • Species and product mix
  • Throughput per hour
  • Shift pattern
  • Current automation on that line
Metric

The number you want to move

Yield, giveaway, foreign-material escapes, labour hours or throughput consistency.

  • Current baseline if you have it
  • Target or business case
  • How it is measured today
  • Who owns the number
Systems

What we would integrate with

The cutting, grading, X-ray, portioning and MES systems already on the line.

  • Vendors and models
  • API, OPC UA or Modbus access
  • Historian or MES in use
  • Network segmentation constraints
Process

How decisions get made

Who needs to approve a pilot: operations, quality, IT/OT and security.

  • Economic buyer
  • Quality and food-safety approver
  • IT/OT and security approver
  • Target timeline
Before the pilot

The review we run with your team.

SOC 2 Type II (in progress)HACCP-alignedUSDA-FSISEU 853/2004GDPRISO 27001 (planned)

Per-tenant isolation

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.

Assurance-grade audit trail

Immutable logs link sensor frames, model version, autonomy level, approvals, overrides and outcomes for every agent action — built for recall defence and model governance.

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.

Read our security overview

Processors we work with
Northfold PoultryMeridian PorkCascadia ProteinBaltic Fillet Co.Ardenne FoodsHarbour & Sons Seafood

Design-partner and pilot plants. Names shown are representative programme cohorts. [PLACEHOLDER]

References

Happy to connect you with a customer.

“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.”
Marta EllisonPlant Director, Northfold Poultry
“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.”
Devan RossProcessing & Yield Engineer, Meridian Pork
“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.”
Priya RaghavanFood Safety & Quality Manager, Cascadia Protein

Design-partner quotes are composite and pending publication approval. [PLACEHOLDER]

Enterprise

Running more than one plant?

Enterprise conversations start with your security and food-safety teams in the room.

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.

Before you ask

Answers to the usual first questions.

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]

Every cut, maximum yield.

One line. One metric. Eight weeks to an answer you can defend.