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.
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.
Start your journey towards a reliable and efficient production!
Do not worry we will do it together with you.
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.
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.
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.
The solution we have built together can be scaled to your entire production, leaving you with a reliable, consistent, and efficient production everywhere.
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 todayContact Us
Our burning passion is to help industrial companies become competitive by utilizing data to improve Overall Equipment Effectiveness (OEE).
Define your furture OEE state, and we will help you achive your goals through data collection, data validation, tailored models, automation, and insight knowledge.
We start proving the value by solving the problem at your bottleneck. When the concept has been proven, we scale to other machines / processes.
create value fast
We have developed a method, of which we can generate value within a short period of time. Even if you do not yet have data available from your machines.
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.
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.
Business Development Manager
Machine Learning Engineer