Notes from the third week of every pilot.
What we're learning, deploying, and arguing about — across every plant currently running Predco. Compliance, reliability, vision, and the bits of industrial AI that actually matter once the demo ends.
What we're reading on the line this week.
What survives the third week of an industrial AI pilot.
A pattern is clear across our deployments: PoCs that look great on day one and disintegrate on day twenty share the same failure modes. We've mapped seven of them — and what to do instead.
IMDS rejections are a process problem, not a data problem.
We analyzed 4,200 IMDS rejections across nine Tier-1 suppliers. Eighty-four percent come down to four root causes. Here's how to engineer them out.
Why your computer-vision pilot fails on the second shift.
Lighting changes between shifts is the single most common reason vision pilots that pass UAT fail in production. Here's how Context AI handles it.
Vibration alone won't predict your next bearing failure.
Multi-modal signals — vibration + thermal + MCSA + oil debris — produce dramatically better RUL forecasts than any single channel. The math, with examples.
PAT compliance: the case for sub-metering before subsidy.
Most designated consumers under PAT chase incentives. The faster ROI is upstream — in sub-metering and per-product attribution.
BRSR and CSRD: the data layer no one is building yet.
Indian and European disclosure frameworks are converging on bottom-up product carbon. Most ESG software is still aggregating top-down. The gap matters.
Why we run inference at the edge — even when the cloud is free.
Three reasons industrial AI belongs on the plant floor: latency, data residency, and the third one nobody talks about.
How a 9-plant Tier-1 cut rejections by 89% in one fiscal year.
A walkthrough of an actual deployment program — kickoff, the first hard week, the second-month plateau, and what cleared the IMDS backlog.
The problem with sampled QC, in three charts.
Sampling plans were designed for a world with much higher defect rates. Today, AQL math actively hides the things that actually escape.
CBAM is here — and your steel customers want primary data.
What CBAM declarations actually need from upstream metals suppliers, and why annual averages won't satisfy the reporting period.
Optimize. Predict. Prevent. Comply.
Bring AI-powered compliance to your manufacturing operations. A 30-minute call with our team — no slideware, just a working walkthrough.