Turn data into growth. Unleash the power of AI
Do you have data? If so, you have the opportunity to optimize your company by utilizing the potential with AI.
AI and machine learning helps you optimize your processes and it may even push the green agenda.
By utilizing your existing data you are able to use machine learning (AI) to:
- Optimize and automate your processes
- Reduce energy consumption
- Lower overproduction
- Predictive maintenance and alarming
Why use machine learning models (AI) in your company?
Machine learning (ML) and artificial intelligence (AI) are fast evolving technologies that are transforming business landscapes. Companies, who embrace it, will be well-positioned for the future. ML and AI can analyze vast amounts of data to uncover patterns and trends that would be invisible to the human eye.
By implementing machine learning models in your company, we can help you make better and more informed decisions across your organization.
In Neurospace we specialize in developing and training machine learning models that enable businesses to achieve their goals. We have created models that predicted failures in transmission systems, developed computer vision to ensure quality, reduce energy consumption, and thus helped many companies achieve more sustainable production.
How can we help you get your business ready for the future?
We are specialists in developing predictive models. In Neurospace we focus on the business case, because we want to create value by solving realistic and complex problems. Machine learning (AI) applications are wide-ranging. Models can be implemented in areas from finance and business to supply chain and manufacturing.
Read about our successful AI and machine learning implementations
OWLS - Optimal Vaccum Vapour Level Setpoint
- Significant scaling potential
- The model reduces energy consumption in the vacuum pan by using more efficient energy steam, when possible
- The model was implemented in January 2024 and has already had a positive impact on production.
Nordic sugar is now able to identify untapped potential in the fact that the cycle time around the vacuum pan equipment was often not fully utilized. This knowledge creates an optimization potential of 4-43%.
Estimating Remaining Useful Life on a Steam Lock
- The costumer should be better able to document different types of breakdowns
- They may not have as many breakdowns as the thought and the breakdowns are likely to be sudden
- There is potential for predictive maintenance.
Historical breakdown data was used to estimate when a new breakdown will occur. The solution makes it possible to schedule maintenance outside of critical production periods.
Predicting Optimal Temperature in the Transmission System
- Predict the optimal supply temperature 12 hours in advance
- Increase efficiency in spring and autumn when the weather is particularly changeable
- Potentially reduce the supply temperature by an average of 5.4 degrees
CTR is, among other things, to be able to deliver greener and more climate-neutral district heating.
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