Discover the hidden value within your machines

innius is a powerful smart industry software platform for industrial machine manufacturers and industrial machine users.

Plant manager using Innius on a tablet

These companies already work with innius®

Logo for Grimbergen, an innius customer
Logo for Johma, an innius customer
Logo for ERU, an innius customer
Logo for LeDuc Fine Foods, an innius customer
Logo for Pandriks, an innius customer
Logo for TenCate, an innius customer
Logo for Alcomij, an innius customer
Logo for Hellema, an innius customer
Logo for Freudenberg, an innius customer
Logo for Lekkerkerker Groep, an innius customer
Logo for Itho Daalderop, an innius customer
Logo for Tronrud Engineering, an innius customer
Logo for Floating Solar, an innius customer
Logo for Lantor, an innius customer
Logo for For Farmers De Hoop, an innius customer

Data into business value…

Innius Productivity Icon in Teal

Increased
Productivity

Innius Quality Icon in Teal

Better
Quality

Innius Energy Icon in Teal

Energy
Efficiency

Innius Maintenance Icon in Teal

Smart
Maintenance

Innius Food Waste Icon in Teal

Reduced
Waste

Industrial loT expertise for:

Innius Food Icon in Teal

Food Industry

innius allows Plant Managers to outperform what was previously possible as they strive to reduce downtime, waste, and energy costs, whilst ensuring throughput and quality. Industrial food producers like Dutch Bakery, Hellema and Pandriks use innius to gain deeper insights into their production line machinery. Decision making no longer needs to be based on instincts, but on real-time machine data, and long-term analysis, with OEE, Downtime and Batch reports.

Innius Feed Icon in Teal

Feed Industry

As part of the Van Mourik Group, animal feed is part of the innius DNA. So, we understand the complexity modern feed mills face processing so many different product formulas. But for every machine connected to innius, the more grip a plant manager has of the situation. innius can deliver insight into how different feed formulations impact machine behaviour, such as how much energy is required, and identify process bottlenecks. This is invaluable data for understanding cost prices and planning the most efficient order in which to run batches. Furthermore, Industrial IoT can enable moisture-content to be used as a real-time parameter for running the production process.

Innius Packaging Icon in Teal

Packaging Industry

If you can measure it, you can manage it. Connecting packaging machines to innius, allows you to measure amongst others, efficiency, quality, and reliability. Real-time alerts and assigned tasks enable condition-based-maintenance to ensure packaging does not become a process bottleneck. Long term machine performance can be analysed with innius’ standard Downtime, Quality and OEE reports.

 

What is innius?

innius® is a powerful smart industry software platform for industrial machine manufacturers and industrial machine users. This platform supports the digital transformation of manufacturers and users through actionable smart data and smart apps. Machine manufacturers improve their customer experience by offering pro-active customer services such as remote machine monitoring and smart maintenance. Machine users apply lean manufacturing best practices supported by real-time production data to improve their core production processes. Manufacturers and users collaborate to achieve a sustainable competitive advantage by utilizing advanced data analytics and actionable business intelligence.

Innius Screens for Desktop and Mobile showing Batch Report and Locations

 

Innius Screens for Desktop and Mobile showing OEE and Sensors

At the cutting edge

Used in industry since May 2016, innius’ continually developing technology is at the cutting edge of a new industrial revolution. It incorporates the industrial internet of things (IIoT), industry 4.0, smart maintenance, servitization, cloud computing, mobility and social collaboration, to provide a powerful tool for machine manufacturers, production managers and operators. To see the latest developments, refer to our release notes or subscribe to our newsletter below.

 

Assets made genius

Minimizing equipment downtime and maintenance costs, whilst maximizing throughput and quality, are challenges faced by manufacturers and producers around the world. This challenge is difficult because insight of the metrics concerning machine behavior and the processes they conduct is usually so limited. Now imagine how much easier it would be if your machines could tell you exactly how they operate in real-time. Well, thanks to innius they can! See what an innius enabled machine could tell you.

Innius Screens for Desktop and Mobile showing Sensor details and Documents and Media

Download the Innius Brochure

Success stories

Itho Daalderop innius

Itho Daalderop

“We’ve been able to take an existing factory and bring it to the manufacturing 4.0 level.”

Tonrud innius

Tronrud Engineering

“We saw that our clients were asking for more, a good working machine was not sufficient anymore.”

oos consultant, Ron Stuver with Ecore's Banbury mixer machine

Ecore

“Deeper insight into the Banbury mixer machine’s behaviour has helped them to increase productivity by between 10-20%.”

Which innius journey suits you best?

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The latest news

Enabling Proactive Maintenance with IIoT

23 November, 2023

Maintenance is a critical aspect of managing machinery and infrastructure, and it plays a pivotal role in maximizing Return on Investment (ROI). As businesses strive to optimize their assets, the […]

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Minimize Machine Downtime with these 11 tips

12 October, 2023

Machine downtime, whether planned or unplanned, can be a formidable adversary in the world of manufacturing. The repercussions of such interruptions extend far beyond the factory floor, affecting everything from […]

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To Build or Buy IoT Software? The Challenges of a DIY Approach

12 September, 2023

The Industrial Internet of Things (IIoT) has become a transformative force across industries, offering unprecedented opportunities for efficiency and data-driven decision-making. Yet, the question of whether to custom-build an IIoT […]

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