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Predictive Maintenance

Create value by predicting future breakdowns. This is actionable insight which humans or systems can react on to prevent consequential damages or create unsafe situations.


Historical data of supply and demand can improve your production line. We can create forecasting models with high accuracy which can help with planning in production, and ordering of raw materials.

Computer Vision

Can be used to make machines see. We use it for quality inspections and to discover defective products. It can reduce the amount of defective products that are delivered to customers.

use data to improve your OEE

Data is the most reliant source for decision making, and automating processes. Data can help improve your Overall Equipment Effectiveness (OEE).

Reduce unplanned downtime

Improve equipment availability, equipment safety and reliability, while reducing mean-time-between-failure and mean-time-to-repair.

Reduce costs on maintenance

With predictive maintenance, machines are maintained when necessary, reducing the total cost of maintenance both in time and materials.

Reduce costs on discarded products

By having insight you can discard less batches due to equipment failure when having products with narrow control limits.

Improve customer satisfaction

With a more reliable equipment, you can get predictable delivery to customers, and be able to deliver the given order right-on-time!

Automate quality inspection

By using picture recognition, we can automatically inspect whether your products are produced in the right quality including the right color.

Make efficient production planning

Plan your production based on historical data from your company. This way you get input on the quantity of raw material to order and utilization of your production lines.

Want to know more about our approach?
Head on over to our blog to learn about how we do Predictive Maintenance and Computer Vision.

Start your journey towards a reliable and efficient production!

Do not worry we will do it together with you.
  • 1

    AI Camp

    Start by getting a feeling of machine learning and learn what it can do in your production. In the AI Camp we will talk datastrategy and you will receive a readiness assessment with insight on your data.

  • 2

    Pilot project

    A good way to learn as an organization is to try. Pilot projects are selected and we start investigating the potential together. Thereby, reducing the risk, and the total costs before we have proven the concept.

  • 3


    Data is analysed, and a tailored ML-model is created for your company. We develop the solution in close collaboration with you, so we ensure that it fits your needs, your people, and your production.

  • 4


    The solution we have built together can be scaled to your entire production, leaving you with a reliable, consistent, and efficient production everywhere.

  • 5

    Reliable Production

    Congratiolations! You now have a reliable, consistent, and efficient production. You are capable of operating the solution, and we leave you to do what you do best.

Start improving your stability, consistency, and efficiency today

Contact Us

Here's what our customers are saying about us

"The AI Camp gave us insight into what Machine Learning is, and how it can create value. During the process we gained the knowlegde required to begin a machine learning project in our company."

Jens Rishøj Skov

Affaldvarme Aarhus

talks and events

We believe that sharing knowledge is key to improving. Doing talks and events is part of our DNA. We share our knowledge and gain feedback on our accomplishments.
We wish to spread knowledge about machine learning and its potential within manufacturing and similar industries. Therefore, we are actively speaking at conferences, events, and offer education inside your company to help kick-start your journey.

AAU logo
Lund og Bendsen
Orbit Lab

We talk about
Machine Learning   Data   Predictive Maintenance   Forecasting   Computer Vision   Overall Equipment Effectiveness (OEE)   Machine Vision   Big Data   Security   Data Quality   Statistics

Our awesome astronauts

Are analytical, agile, and ambitious. We believe in an honest, hands-on approach to solve real problems by combining good engineering practices with applied data science.

Lars Endrup
Lars Endrup

Business Development Manager

Maria Jensen
Maria Jensen

Machine Learning Engineer

Rasmus Steiniche
Rasmus Steiniche


Want to be part of our space crew?

Contact us today to start your journey!

+45 71 99 31 03

We are always happy to talk about your next project over a cup of coffee. It is, and always will be, free of charge!

We build it. You rock it.

Want to know more about what we build and how we do it?