Keep lines running.

AI for the factory floor.

Manufacturing AI

Predict.
Prevent.
Perform.

We connect to your ERP, SCADA, and historian data — then deploy AI that lives inside your operations.

  • Predictive maintenance alerts
  • Dynamic scheduling AI
  • In-line quality monitoring
U4RIA
Agents
Automation
Maintenance
Supply Chain
Intelligence
U4RIA · Manufacturing
Maintenance & Equipment
Export
+ New
Maintenance Overview
Active Alerts
Equipment Health
Predictive Analytics
Work Orders
Active Work Orders
23
−5 this week
Equipment Uptime
98.7%
+0.3% ↑
Monthly Cost
$12.5K
−8% ↓
Preventive Rate
94%
On-time
Upcoming Maintenance
DATE
TASK
TYPE
PRI
Oct 18
CNC Coolant Service
Preventive
Med
Oct 20
Robot Calibration
Compliance
High
Oct 22
Hydraulic Inspection
Preventive
Med
Oct 25
Conveyor Alignment
Compliance
High
Recent Activity
CNC lathe maintenance completed
5 min ago
John M.
Completed
Robotic arm inspection started
1 hr ago
Sarah C.
In Progress
Pneumatic system repair done
2 hrs ago
Mike J.
Completed
Assembly sensor recalibrated
3 hrs ago
Tom R.
Completed

CNC Service Due

Oct 18 · Preventive · Medium

98.7% Uptime

+0.3% this week

Active Work Orders

23

−5 from last week

Equipment Uptime

98.7%

+0.3% improvement

Monthly Cost

$12.5K

−8% from last month

Preventive Rate

94%

On-time completion

Live Interactive Demo

See Manufacturing AI in action

Explore the full dashboard — click through real workflows, live data, and AI-powered insights.

Recommended for desktop
The Problem

The real cost of reactive manufacturing

Most manufacturers know they have a maintenance problem. Few have visibility into exactly where value is being lost — or how close a failure event really is.

~£260K

per hour of downtime in automotive

Unplanned downtime is bleeding margin

Equipment fails without warning. Reactive maintenance means rushed decisions, premium spare parts, and production windows gone forever — with no data trail to prevent it repeating.

72hrs

typical warning window — if caught at all

You can't see failures before they happen

Maintenance logs and gut feel aren't enough. By the time a fault registers in your data, the damage is already done. You need predictive signals, not reactive reports.

3–7%

average scrap rate, industry-wide

Quality escapes caught too late

Defects found at end-of-line mean scrapped batches, rework costs, and customer complaints. Catching the signal at the source — not the outcome — is the difference between proactive and reactive quality.

18hrs/wk

engineers spend on manual compliance work

Compliance audit burden is unsustainable

ISO, OSHA, CE — critical, but labour-intensive when done manually. Your best engineers are maintaining spreadsheets instead of improving processes. AI automates the evidence trail.

Built For You

We don't sell a product.

Every AI system we build is designed from scratch — around your specific operation, your data, and the exact problem you need to solve. Not a template. Not a licensed platform. Yours.

Zero assumptions

We start by mapping your operation — your data sources, your constraints, your team. The AI we build reflects your reality, not an industry template.

Every system, every integration

SAP, Oracle, SCADA, custom ERPs, spreadsheets, PDFs, legacy databases — we connect to whatever you have and build intelligence on top of it.

You own it completely

No SaaS subscription. No usage fees. The AI lives inside your infrastructure, on your terms, with full IP ownership from day one.

Examples from the floor:

Predictive MaintenanceDynamic SchedulingIn-line Quality AISupply Chain VisibilityAutomated Work OrdersCompliance AutomationDemand ForecastingInventory OptimisationProduction Planning AIEnergy MonitoringReal-time OEE TrackingDefect ClassificationRoot Cause AnalysisDigital Twin IntegrationShift Handover AILabour OptimisationScrap Reduction AIBatch TraceabilityYield OptimisationCMMS IntelligenceSupplier Risk ScoringTooling Wear DetectionVision Inspection AICarbon Footprint TrackingCustom Agent WorkflowsERP Intelligence LayerEdge AI Deployment+ anything else you need

Got a problem we haven't solved before?

Good. That's exactly the kind of work we take on.

Our Process

From your data to live AI in weeks

We start with a focused 2–4 week pilot on your highest-impact use case. If it doesn't deliver measurable ROI, we tell you — before you scale.

01
01

Connect your data

We integrate with your ERP, SCADA, historian, and MES — typically in 3–5 days. No rip-and-replace, no months of IT projects.

02
02

AI maps your patterns

We train models on your specific machines, your failure modes, and your production cadence — not generic industry data.

03
03

Predict, prevent, perform

Failure alerts fire before damage occurs. Work orders are generated automatically. Maintenance schedules around production, not the other way around.

04
04

You own it completely

Live KPI dashboards track uptime, cost savings, and ROI. You own the system outright — no SaaS subscription, no dependency on us after deployment.

Proven Results

Numbers from the floor, not the deck

42–48%

ROI within 6 months

Raypack

98.7%

Equipment uptime achieved

Manufacturing clients avg.

31%

Reduction in unplanned downtime

Automotive client

2–4wks

From pilot scoping to live AI

All engagements

ROI Calculator

What could AI save your operation?

Answer six questions about your manufacturing environment and get an instant projection of the value AI could unlock.

Estimate your AI ROI in 60 seconds

Answer 6 quick questions about your manufacturing operation and we'll project the annual value AI could unlock for you.

Data Readiness

Is your data ready for AI?

A quick 5-question assessment to gauge your data maturity — and show you exactly where you stand before a pilot begins.

How ready is your data for AI?

5 quick questions to assess your data maturity and see how quickly AI could deliver results in your operation.

Client Results

Real results. Real fast.

Measurable KPI improvements across every engagement.

See our results