Field notes

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.

Published10 notes
Process plant at dusk, where industrial AI pilots meet real operating conditions

What we're reading on the line this week.

Process plant at dusk, where industrial AI pilots meet real operating conditions7failure modes mapped
FIELD NOTES

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.

By PredCo TeamMAY 12, 202611 MIN READ
Read the field note
Engine assembly line where material declarations originate84%trace to four root causes
COMPLIANCE

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.

APR 28, 2026·8 MIN
Computer vision detecting PPE compliance on a production floor3.4xfalse positives after dark
VISION

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 we handle it.

APR 15, 2026·6 MIN
Reliability engineer taking readings from a plant control panel+41%RUL accuracy, multi-modal
RELIABILITY

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.

APR 02, 2026·12 MIN
Renewable generation feeding an industrial energy mix11 momedian payback, metering first
ENERGY

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.

MAR 21, 2026·9 MIN
Production monitoring dashboard aggregating plant-level data2 of 9frameworks accept top-down
ESG

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.

MAR 10, 2026·10 MIN
Edge compute hardware running inference close to the machine<80 mscamera to decision, on-prem
ARCHITECTURE

Why we run inference at the edge.

Three reasons industrial AI belongs on the plant floor: latency, data residency, and the third one nobody talks about.

FEB 24, 2026·7 MIN
Quality inspector working through a component backlog on the shop floor−89%rejections, one fiscal year
FIELD NOTES

How a Tier-1 cut declaration rejections by 89%.

A walkthrough of an actual deployment program: kickoff, the first hard week, the second-month plateau, and what cleared the declaration backlog.

FEB 10, 2026·13 MIN
Machine shop where sampled quality inspection misses escapes1 in 12escapes a 2.5 AQL plan
VISION

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.

JAN 30, 2026·5 MIN
Steel coil production, where embedded emissions data originatesQuarterlyreporting cadence required
COMPLIANCE

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.

JAN 14, 2026·8 MIN
Now onboarding new deployments

Bring one problem. We'll show you the deployment.

A 30-minute working session with our engineering team. No slideware. Bring a real operational problem and leave with a concrete view of what a PredCo deployment looks like for your plant.

4 hrs
Average response time
4–6 wks
Kickoff to live pilot
On-prem
Sovereign deployment supported