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Automation Simplified

Transforming your operations with industrial AI?
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Industry Digits helps plant heads and engineering teams adopt automation, IIoT and predictive maintenance — and actually understand what it's doing.

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Trusted on the plant floor
ControlSCADAReliability
Trusted on the plant floor
ControlSCADAReliabilityModelTelemetry
52-second explainer

Plant Uptime Intelligence: Signals, Data Paths, and Control Reliability

A concise Industry Digits explainer on critical asset signals, trusted machine data paths, control reliability, and governed AI-readiness decisions.

Uptime disciplineContinuous feedbackTrusted sensor pathsIndustrial AI trade-offs
What we do

Six capability hubs for uptime intelligence

Focused entry points for critical asset signals, machine data paths, control reliability, maintenance action, AI readiness, and sector playbooks.

Critical Asset Signals technical capability wireframe 01

Critical Asset Signals

Open hub

Use trusted vibration, temperature, current, and operating-state evidence to see asset risk before it becomes downtime.

Project glimpse
Decision
What must maintenance do when the trend changes?
Evidence
Signal quality, baseline, threshold, and operating context.
First proof
Baseline one critical asset and agree the watch/action bands.
Machine Data Paths technical capability wireframe 02

Machine Data Paths

Open hub

Connect PLC, sensor, historian, gateway, dashboard, API, and cloud paths without losing timestamps, context, or ownership.

Project glimpse
Decision
Which signal path is trusted enough to support operations?
Evidence
Source, protocol, timestamp, payload, gateway, and owner.
First proof
Document one data contract before expanding dashboards.
Control-System Reliability technical capability wireframe 03

Control-System Reliability

Open hub

Make PLC, HMI, alarm, interlock, and handover logic clear enough for operators, maintenance, and future changes.

Project glimpse
Decision
Does the operator know what state the machine is really in?
Evidence
I/O, sequence states, alarms, interlocks, HMI flow, and checks.
First proof
Clarify one control sequence and its handover documentation.
Maintenance Action Workflows technical capability wireframe 04

Maintenance Action Workflows

Open hub

Convert condition signals, alarms, inspections, and failure-mode evidence into maintenance work that is planned, owned, and reviewed.

Project glimpse
Decision
What action changes when the signal crosses a watch band?
Evidence
Trend, operating state, inspection result, risk priority, and owner.
First proof
Create one watch list that turns signal changes into work rules.
AI-Ready Decision Support technical capability wireframe 05

AI-Ready Decision Support

Open hub

Shape AI use cases around data readiness, review gates, exceptions, and plant workflows before anyone treats a model as the solution.

Project glimpse
Decision
Where should AI assist, and where must a human review?
Evidence
Data readiness, exception reasons, review gates, and owners.
First proof
Score one use case before model selection or automation.
Sector Operating Playbooks technical capability wireframe 06

Sector Operating Playbooks

Open hub

Translate uptime intelligence into sector-specific operating problems for production, quality, reliability, energy, and maintenance leaders.

Project glimpse
Decision
Which sector problem should become the first pilot?
Evidence
Assets, line states, quality risks, energy signals, and constraints.
First proof
Map one sector problem to a capability and blueprint path.
PLC
Controls and plant-floor architecture
IIoT
Secure telemetry from machine to cloud
CBM
Condition-based monitoring for critical assets
AI
Industrial AI tied to operator workflows
Where we work

Built for the realities of your sector

The signals differ by industry. The discipline does not: reliable data, clear decisions, and systems your teams can run.

Manufacturing
Discrete & assembly
Metals & Cement
High-heat processes
Automotive
OEM & tier suppliers
Energy & Power
Generation & grid
Process & Chemical
Continuous plants
Pharma
Validated environments
Food & Beverage
Hygienic lines
Logistics
Warehouse & intralogistics
How we work

A clear path from pilot to plant-wide

1

Assess

Audit assets, data sources, constraints, and the fastest release-safe win.

2

Instrument

Connect controls, sensors, edge gateways, and clean telemetry with minimal disruption.

3

Intelligence

Turn signals into clear actions through dashboards, alarms, and AI only where useful.

4

Scale

Move from one line or asset class to a repeatable plant-wide operating model.

"Automation Simplified means every signal should connect to a decision the operations team can actually take."
Industry Digits Editorial
Implementation principle behind our content and case analyses
Case analyses

Documented cases, read for the decision they should change

Case analysis
From the literature

Journal-bearing feed monitoring on a tandem cold mill

An independent analysis of a published tandem cold-mill study (Sun et al., 2016): instead of watching bearing vibration, the team watched the lubricant feed that keeps the oil film alive, moving the warning earlier in the failure chain. What the evidence shows, and what it should change on your floor — cross-referenced and cited.

Sourced
Peer-reviewed
Decision
What it changes
Independent
Not client work
Read the case analysis

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