AI & Data Analysis
We help companies develop AI solutions that turn data into insight, automation and smart products. We work with AI data analysis, machine learning and edge AI. The focus is always concrete value - both in the product and in the systems around it.
AI & Data Analysis
AI as part of the product
Artificial intelligence only becomes valuable when it solves a concrete task.
We work with AI and data analysis in products where sensor data can create value. Data can be used to find patterns, automate processes or support decisions. That could be monitoring equipment, analysing measurement data, or functions that help the user react faster.
Because we also develop embedded software, cloud solutions and applications, we can integrate AI as a natural part of the overall product.
Predictive analytics
Find patterns and anticipate events
From edge to cloud
AI locally or in the cloud
Powerful AI servers
In-house training and model optimisation
Computer Vision
Image analysis for industrial needs
AI data analysis
and machine learning
The foundation of any AI solution is data. We work with sensor data, measurement data and other technical datasets, which are collected, structured and analysed before we develop and test machine learning models.
The models can be used to find patterns, classify data, support decisions or automate workflows. That can reduce manual work and give users a better basis for decisions.
Data quality is decisive, which is why we always start from both the available data and the concrete task.
Predictive analytics and
AI in the product
When products or machines collect data over time, AI can identify patterns and trends before problems arise. That can be used for predictive maintenance, quality control and optimisation of the product's operation, among other things.
The AI model can run directly on the product with edge AI, or in the cloud. Edge AI can be relevant when low latency, limited data traffic or offline functionality matter, while cloud makes it possible to work with larger volumes of data and more complex models.
We assess the architecture based on the product's requirements for performance, response time, power consumption and data availability, among other things.
From AI idea to solution
We help assess where AI creates real value – and where a simpler solution is better. It starts with the concrete task, the available data and the requirements for the product.
When AI is the right solution, we can both develop the model and integrate it into the overall product. With skills in embedded software, cloud and application development, we can take the solution from the first analyses and prototypes to a robust solution that can be deployed and maintained in practice.
Frequently asked questions
What is predictive analytics?
Predictive analytics uses historical data and statistical models to forecast what may happen. It is used for predictive maintenance, quality control and process optimisation, among other things.
When does edge AI make sense?
Edge AI is relevant when analysis has to run directly on the device, for example to reduce latency, limit data traffic or work without a constant internet connection.
Do you also work with generative AI?
Yes. We work with generative AI when the technology can create value in a product or a workflow. The choice of solution always depends on the specific use and the available data.
Can you both develop the AI model and integrate it into the product?
Yes. We develop AI solutions and can integrate them with embedded software, cloud platforms and applications at the same time, so they become a natural part of the overall product.
What is intelligent automation?
Intelligent automation combines artificial intelligence (AI), machine learning and automation. It is used for tasks that normally require human judgement. It can automate workflows, analyse data, support decisions and reduce errors.
What is machine learning?
Machine learning is a part of artificial intelligence. Here, computers learn to recognise patterns and make predictions from data. They are not only programmed with fixed rules. The more relevant data a model is trained on, the better it typically becomes at its task. That could be image recognition, recommendations, translation or trend analysis, for example.
Shall we turn your idea into reality?
Technical development takes more than good ideas — it takes the right skills. We have gathered hardware, software and engineering expertise under one roof, so you get from prototype to production quickly and safely.
Reach out to us →