Our team of specialists is excited to work on your AI solution.
AI algorithms are only as good as the underlying data used to train them. Therefore, the first and most important step is to explore and understand the existing data to determine a suitable AI strategy.
Selecting the right models is key to create valuable solutions. It is crucial to perform tests against the underlying dataset and optimize the selected models accordingly to achieve impactful results.
We take care of deployment and long-term MLOps to constantly improve the models in a production environment and maximize business impact.
Hilti aimed to improve the quality assurance process for one of their production processes. The challenge was to detect production defects that are almost unrecognizable with human eyes. The interdisciplinary solution that we developed not only detects production defects through, but also gathers further production metadata, and visualizes them on a central KPI dashboard. The impact was improved production processes and product quality through a system with unshakeable accuracy.
With emerging technologies and talented people, Motius approaches problems in a unique way. They helped us to first explore the whole range of cutting-edge technological solutions and then get to the outcome that we defined in the very beginning
— Martin Pitsch, HILTI
All of our projects in the fields of automation with Artificial Intelligence, Computer Vision, and Internet of Things go through these four essential steps.
The first step is all about data. The success of all Artificial Intelligence projects begins and ends with the quality and quantity of the data set and the thorough understanding of the data.
Typical tasks include:
Having data is not enough though. The second step is about understanding the business, providing insights for customers and business experts, but without any "smart predictions" yet.
The third step is about building models/predictions on top of the data and insights you have gathered. The step of modeling is iterative and academic, based on metrics and KPIs derived by real business use-cases.
In the last step, it is all about moving from the academic world to production. How do we get our model that we have shown to work on our test dataset to start running on real data in potentially real time?
Artificial Intelligence (AI) is a constellation of many different technologies working together to enable not only machines to sense, comprehend, act, and learn with human-like levels of intelligence. Maybe that’s why it seems as though everyone’s definition of artificial intelligence is different: AI isn’t just one thing.
Technologies like Machine Learning and Natural Language Processing are all part of the AI landscape. Each is evolving along its own path. Combined with data, analytics, and automation, AI can help businesses achieve their goals, whether it is improving customer service or optimizing the supply chain.
Working with you, Motius can help scale AI across your organization with customized solutions at all levels of maturity. Artificial Intelligence is a paradigm shift: from hard-coded, expensive, first-principles-based, inflexible solutions to adaptive, self-learning solutions based on Big Data and Machine Learning algorithms.
Our approach is user-centric and forward-looking. This means we can help you develop your own systems that meet your unique needs.
In a time in which companies need more innovative product ideas than ever, intrapreneurship still has not gained the attention it deserves. Read how Optimate aimed to prove that Machine Learning can help to predict if sheet metal parts can be optimized while keeping optimal product quality and functionality.
You know how we always say that we build those products that have a real impact on the world? It is time to give you another example of that. With our chatbot solution, one of the biggest insurances worldwide was able to respond to COVID-19, the coronavirus, in real time. Here is how.
As you probably know already, research and development is one of Motius' core activities. We are also happy to share our knowledge so that you can quickly get an overview of the most important technology trends. Delivered into your mailbox with just a couple of clicks:
In this cheat sheet, we are serving you one of the hottest buzzwords at the moment: Machine Learning.
“Chatbots are the next big thing!” With all the hype around chatbots, you may have heard phrases like this. Sounds like another round of buzzword bingo, right?
In this cheat sheet, we are explaining all you need to know to start a Computer Vision project.
Companies We Work With