End-to-end system thinking, effective utilisation of sensor fusion, and AI enable manufacturers to drive sustainable initiatives, such as increased energy efficiency, without compromising on profitability or operational resilience.
Opportunities enabled by emerging technologies and advanced analytics transform existing processes to more automated and intelligent.
Full transparency of your production enables waste reduction and cost cutting.
Achieve a closed-loop system by identifying your waste and recycling materials' chemical composition and reuse them in your production.
Hypersepctral imaging and Edge AI enable precise, fast and contactless identification and classification of materials.
Optimized production methods and operations by continuously improving performance. Gain better production quality control with fewer production steps. Utilize manufacturing innovations like IOT, automatization, 3D print. Lower production and labor costs and improve efficiency.
Low, clean and renewable energy consumption. Optimize energy use in production.
We help you achieve your climate goals with the help of data and advanced technology. We are particularly good at optimizing energy consumption, reducing waste and reusing materials.
End-to-end system thinking, effective utilisation of sensor fusion, and AI enable manufacturers to drive sustainable manufacturing initiatives, such as increased energy efficiency and optimised energy consumption, without compromising on profitability.
Our goal is to help you find a steady balance between manufacturing productivity and efficiency. We believe that energy efficiency lies on three key pillars:
/ people, technology and processes
Wide data collection: OT devices, MES, people skills
Harmonized and standardized operational data
Intelligent industrial automation and process control
Waste exists in multiple forms; materials used in manufacturing, excess work due to mistakes, idling in logistics or poor product quality affecting end-customer operations. Opportunities enabled by emerging technologies and advanced analytics transform existing processes to more automated and intelligent. Reducing or removing defects caused by human mistakes or missing control points can eliminate waste created in the operations.
/ Capture, get insights and control
Our waste reduction solution is based on capturing the reality with the most suitable sensors – camera, 3D, hyperspectral, microwave, or ultrasound. The rich sensor data is used to gain real-time insights with machine vision, sensor fusion and machine learning. This enables you to finding root-causes of quality defects, controlling processes automatically, guiding users, and providing input to operational systems.
Reduce waste, rework and customer returns with a better understanding of the production
Detect production quality issues early in the process to avoid waste and unnecessary costs
Make waste visible with full transparency
Avoid unnecessary energy use and material costs by optimising material consumption
Each material reacts differently with light. It results in a unique individual ‘fingerprint’ called a spectral signature.
Our solution takes advantage of hyperspectral imaging technology which can reveal what is invisible to the human eye. Together with Edge AI, you'll gain valuable insights of the materials of your products for reuse purposes.
The solution is installed alongside a production line or on a moving vehicle, and enables real-time advanced analytics with minimal latency.
Improved material reuse with better understanding of materials' chemical composition
Precise and fast identification of waste and recycling materials
Hyperspectral imaging is non-destructive and contactless, whereas many traditional technologies use destructive methods to find chemical properties
Gaining better insights from your operations can help you reach your climate goals.
Most manufacturers have already taken carbon neutrality and sustainable operations as key strategic initiatives.
Sustainability will not only become a competitive advantage but a prerequisite from customers in order to engage in business relationships.
Data insights and emerging technologies, such as Edge AI, can assist on the path towards carbon neutrality.