Industries
Manufacturing Cloud

Smart factories.Sovereign data.

Industry 4.0 demands real-time processing at the factory floor, seamless OT/IT integration, and absolute data sovereignty. Clouditiv delivers edge-to-cloud infrastructure built for manufacturing — without sending your production data to a public cloud.

<1ms
Edge latency
-45%
Unplanned downtime
100%
Data sovereignty
clouditiv.io/factory
Live
Factory Intelligence Hub
Factory Intelligence Hub3 Plants Online
Fleet OEE
91.2%
Plant A
Munich
Running
94.2%
OEE
Plant B
Stuttgart
Maintenance
87.8%
OEE
Plant C
Hamburg
Running
91.5%
OEE
Edge computing · fleet
24 active
Edge nodes
12,400/s
Sensor data
847/min
ML inferences
Predictive alert: Line 3-B bearing temp +4°C trendnow
Quality gate passed: Batch #8821 — 0 defects4m ago
-45% downtime
vs. reactive maintenance
Polarise

Europe's leading sovereign AI infrastructure platform trusts

clouditiv
Arista Networks
HPE
Authorized Partner

Rooted in critical infrastructure

Vodafone
Telefónica
M-net
Commerzbank
Arvato

clouditiv builds on 30+ years of SETUP Protokolltester GmbH's experience in telecommunications, finance, and critical infrastructure.

The Problem

Legacy infrastructure can't power Industry 4.0

Without Clouditiv

4–6h
Avg. unplanned downtime
Silos
OT/IT data gap
Public
Cloud = data leaves factory
  • Production data sent to public cloud — out of your control
  • OT systems (SCADA, PLCs) completely isolated from IT analytics
  • No real-time visibility across multiple plant locations
  • Predictive maintenance impossible without edge computing
  • Legacy on-premise servers can't handle Industry 4.0 workloads

With Clouditiv

  • All production data stays on-premise — full data sovereignty
  • Edge nodes bridge OT and IT — SCADA data meets cloud analytics
  • Real-time dashboards across every plant from one interface
  • ML models run at the edge for instant anomaly detection
  • OpenStack-based private cloud scales with your production needs
See it in action

Capabilities

Four pillars of factory intelligence.

Edge compute, OT/IT integration, predictive analytics, and data sovereignty — engineered for manufacturing.

Edge Computing

Process sensor data where it's generated

Latency kills real-time manufacturing. Clouditiv places lightweight compute nodes directly on the factory floor — processing sensor streams, running quality checks, and executing ML inference in under 1ms, without any backhaul to a central data centre.

  • Sub-millisecond edge latencyLocal compute for real-time sensor processing
  • Autonomous edge operationEdge nodes work even if central cloud is unreachable
  • OPC-UA & MQTT supportConnects to industrial protocols natively
  • GPU/NPU support for MLRun quality inspection models at the edge
<1ms
Edge processing latency
Learn more
Edge Computing · Clouditiv
Edge Node Topology
3 factory lines · 24 nodes active
Live
Line A — Assembly
8 edge nodes
4,200/s
datapoints/s
0.4ms
latency
Line B — Welding
9 edge nodes
5,100/s
datapoints/s
0.7ms
latency
Line C — Painting
7 edge nodes
3,100/s
datapoints/s
0.9ms
latency
847
ML inferences/min
0.6ms
Avg. inference time

Getting Started

From assessment to live edge — in weeks

No ripping out your OT systems. No public cloud dependency. Just a clean path to factory intelligence.

01

Map your factory floor

We assess your OT systems, edge computing needs, network topology, and data flows to design the optimal architecture for your plant.

1–2 weeks
02

Deploy edge + cloud

Edge nodes are installed at production lines, private cloud deployed on-premise, and OT/IT integration configured with your existing PLC and SCADA systems.

3–6 weeks
03

Optimise continuously

Predictive models are trained on your data, dashboards tuned to your KPIs, and your team trained to operate and extend the platform independently.

Ongoing
First edge node live within 2 weeks — or your assessment is free

Real-World Results

Numbers your operations director will appreciate

-45%
Unplanned downtime
through predictive maintenance
<1ms
Edge processing latency
for real-time quality control
100%
Data sovereignty
all production data stays on-premise
3–6w
Time to deploy
full edge + cloud environment
12,400+
Sensor datapoints/s
847
ML inferences/min
14+
Plants under management
6–8h
Avg. anomaly lead time

See a live demo of factory edge computing

Walk through a real deployment — predictive alerts, OT integration, and all.

Use Cases

Industry 4.0 Use Cases

Predictive Maintenance

Vibration and temperature analysis to predict bearing failures before they happen — hours of warning instead of hours of downtime.

ML at the edge

Quality Control at the Edge

Computer vision on the production line detects defects and rejects in under 10ms — without sending images to a cloud service.

Sub-10ms detection

Energy Optimisation

Real-time power consumption monitoring per machine, automated load balancing across shifts, and peak-demand avoidance.

Cost reduction

Digital Twin

A live virtual replica of your production line for simulation, what-if analysis, and process optimisation before making physical changes.

On-premise
FAQ

Your manufacturing
questions answered.

Everything you need to know about deploying private cloud and edge computing in your factory environment — no internet required.

Sub-millisecond edge processing for real-time OT
🔒NIS2 & KRITIS compliant by design
🛠️Full OT/IT integration support included

Still have questions?

Our manufacturing specialists are here to help with your specific environment.

Talk to an expert
On-premise · Air-gapped option · NIS2 aligned

Ready to bring your factory into Industry 4.0?

Get a personalised factory assessment — we'll map your OT landscape and design your edge-to-cloud architecture.

100% on-premise · NIS2 & KRITIS aligned · Air-gapped option · No public cloud required