We are an international AI development company based in The Netherlands. We’re not a structure, but a team of people. We communicate, learn from one another and share our expertise. We’ll guide you through the process, and we’re always ready to answer your questions. We take on challenges and tackle interesting, demanding and innovative projects – that’s how we shape the future alongside our clients.
Dynalytix acts as a bridge between breakthrough science and the industry by transforming the latest developments into value-generating solutions. We believe that AI will play a huge role in an ever more competitive future of how products are made and services are being provided as data enables to provide insights and optimizations which would be difficult for humans to grasp.
We develop tailored solutions for our customers or offer them existing tools from our suite of developed products. We are at the frontiers of scientific advancement to leverage the latest developments for business.
Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.
We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.
Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.
We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal.
We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.
Any system might require time to time maintenance, and we are happy to support our customers with that.
Partnership is an important concept for us, as it lies at the heart of our relationships. We think of it as a fierce commitment to achieving shared goals. We also believe that it is inefficient for every company to build its own machine learning team as it requires years of experience to gain good competence in dealing with data from multiple sectors. At the same time, all the projects we have dealt with enable our team to have better insights and capabilities within the industry.