Why we built the twin before the product
No processor lets an unproven agent near a blade. Simulation was the only way to earn the first trial.
Engineering write-ups, measurement methodology and honest industry analysis. No thought leadership, no hype cycles.
No processor lets an unproven agent near a blade. Simulation was the only way to earn the first trial.
A gram per pack sounds trivial until you multiply it across a year of fixed-weight production.
Threshold detectors force a trade between escapes and false rejects. Fused perception dissolves it.
A confidence number that is not calibrated is worse than no confidence number at all.
Turnover and injury rates are not a cyclical staffing problem. They are a design problem.
If your stop path runs through a model server, you do not have a stop path.
Sensor fusion, calibration, uncertainty, drift and the unglamorous reality of condensation on a lens.
Seam-following, cut-response physics, yield measurement and how to avoid fooling yourself with averages.
HACCP alignment, evidence design, recall readiness and the ethics of autonomous decisions in food.
Deterministic latency, graceful degradation, OTA safety and running Kubernetes in a wet room.
“If your stop path runs through a model server, you do not have a stop path. You have a wish.”
X-ray says bone, vision says shadow, hyperspectral is undecided. What should the agent do?
Treating a missed deadline as a safety event rather than a performance regression.
Canary cells, staged promotion and rollbacks measured in seconds, not maintenance windows.
A camera that measures and a machine that cuts, with no path between them, is a data-collection exercise.
Cutting, grading, inspection, portioning and MES — and where autonomy captures the value.
Why the cut-and-yield corpus is the asset, and why it cannot be bought.
Yield numbers are easy to inflate: shift selection, carcass mix, reconciliation windows and definitional drift all conspire. This post sets out the measurement protocol we use in every pilot, and why we reconcile against the customer’s MES rather than our own telemetry.
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.
“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]
Picking the wedge line, defining the metric and structuring the gates.
A recorded session with quality leaders from three processors.
The five calls every Slicium agent implements.
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