- We've improved quality through automated, more accurate defect spotting (from process parameters or computer vision)
- We've reduced downtime through predictive maintenance
- We've improved availability through optimised use of equipment and demand prediction
Services
Whether you’re at the beginning of your AI journey or scaling production-grade technologies, we’ll help your company find, build and implement a customized yet scalable AI solution for any business case.Contact usWe build AI for forerunners
We’re experienced in building smart solutions for industrials and healthcare providers who use AI to improve operational efficiency, automate manual processes, identify new business opportunities or build greener and cleaner operations.
The solutions we build vary across industry, but our core competence is always in applying AI – because today’s winners are the ones who are ready to build on latest research and harness breakthrough technologies in their everyday processes.
Improving operational efficiency
Automating manual tasks
- We've automated reporting analysis through computer vision for image and video data, NLP for written text
- We've automated diagnosis and treatment analysis for medical images utilising computer vision
- We've improved resourcing through automatic handling of incoming support requests using NLP and software automation
Greener and cleaner operations
- We've created automated, more accurate separation in recycling through a combination of computer vision, software automation and robotics
- We've optimised chemical usage in water treatment for improved quality
- We've predicted changes in water quality from inflow water parameters
New business opportunities from data-driven services
- We've supported transformation from product-centred sales into result-oriented service sales with the help of digital, data-driven services
- We've increased customer commitment and added revenue from add-on digital services for customers using own and customer production data
Smart customer service
- We've used NLP to derive new customer insights from different channels
- We've improved customer experience by making the chatbot more conversational and competent
Predictive maintenance
- We've identified maintenance needs from images
- We've developed soft sensors to predict maintenance needs
A few examples of our work:
Insights
TECHNOLOGIES WE USE
1. PREDICTIVE APPLICATIONS
Regression
- Production disturbance prediction
- Predictive maintenance
- Sales & demand forecasting
- Churn prediction
Next purchase date prediction
Classification
- Production disturbance situation type classification
- Fraud detection
Natural damage prediction
Clustering
- Lead segmentation
- Intelligent customer segmentation
2. COMPUTER VISION
Object detection
- Automated image-based reporting
- People & traffic flow analysis
- Safety equipment monitoring
Access control
Image classification
- Production line quality assurance
3. NATURAL LANGUAGE PROCESSING (NLP)
Text classification
Ticketing automation for service requests, customer feedback and reporting
Sentiment analysis
- Feedback analysis
- Chatbots