Designing a protein autonomy pilot
Choosing the wedge line, defining the success metric, setting the gates and structuring the exit terms.
Resources
Everything you need to evaluate autonomy.
Practical guides written for plant directors, yield engineers and quality managers — not for a marketing funnel.
Guides
Start here.
Yield measurement without self-deception
Baselines, carcass-mix matching, reconciliation windows and statistical significance.
Building the food-safety case for autonomy
How to bring quality and HACCP owners along, and what evidence they will require.
Preparing OT networks for plant-edge AI
Segmentation, identity, stop-path independence and change control for IT/OT teams.
The giveaway reduction playbook
From weight prediction to batch composition to closed-loop checkweigher control.
Labour resilience through autonomy
Modelling output stability against vacancy rates on the cut floor.
Resource types
Formats for every stage.
Guides & playbooks
Long-form, practical documents you can hand to a colleague who was not in the meeting.
Benchmarks
Measured results and methodology from design-partner lines, with baselines stated. [PLACEHOLDER]
Webinars
Recorded sessions with plant directors, yield engineers and quality managers.
Security & validation pack
Architecture, controls, validation protocols and evidence formats for your auditors.
Technical references
Agent API, connector SDK and edge deployment documentation.
ROI models
Yield, giveaway, labour and safety models built with your own line data.
Webinars
Recorded sessions.
Foreign material: detection versus prevention
Quality leaders from three processors on resolving the escape-versus-false-reject trade-off.
Inside a nine-week deboning pilot
A blow-by-blow account of shadow baselining through to supervised autonomy.
Autonomy and the HACCP plan
Where autonomous decisions sit in a control plan, and what evidence auditors expect.
Benchmarks
Design-partner cohort results.
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
Featured resource
The pilot design guide.
How to run an evaluation that produces an answer
Most automation pilots end ambiguously because the metric, the baseline and the exit terms were never agreed. This guide gives you the structure we use with every design partner — including the parts that let you walk away cleanly.
- Selecting the wedge line and workflow
- Defining a metric your finance team accepts
- Shadow baselining and significance thresholds
- Gate criteria and exit terms in writing
By role
What to read for your job.
The business case
ROI modelling, payback, labour resilience and how to structure a pilot that gives you a defensible answer.
- Pilot design guide
- Labour resilience playbook
- ROI model template
- Customer references
The technical detail
Cut planning, twin validation, program rollout and yield measurement methodology.
- Yield measurement guide
- Giveaway reduction playbook
- Agent API reference
- Twin validation docs
The food-safety case
Evidence design, HACCP alignment, model change control and audit-ready exports.
- Food-safety case guide
- HACCP webinar
- Validation pack
- Audit schema reference
The deployment detail
Network segmentation, identity, edge architecture, stop-path independence and change control.
- OT network guide
- Security pack
- Edge deployment docs
- OTA and rollback reference
Trust centre
Documentation for your reviewers.
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.
Reference architectures
By line type.
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
Feedback
From readers.
“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]
Resource FAQ
About these materials.
Guides and technical references are open. The security and validation pack and customer references require a short conversation, because they contain customer-specific material we are contractually obliged to protect.
Results are reconciled against each customer’s own MES and finance systems rather than our telemetry. Where a figure is provisional or from a small cohort, it is marked as such. [PLACEHOLDER]
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]
Three tiers: Line at $12,000 per processing line per month for one workflow, Plant at $80,000 per month for the whole loop including the twin, and Enterprise custom agreements for multi-site fleets. Annual prepay saves 15–20%, and outcome-based components can be tied to yield, giveaway, labour or safety.
Want the security and validation pack?
Architecture, controls, validation protocols and evidence formats — sent after a short call with your reviewers.