21 May 2019, 15:00
The Ghent-based ML6, specialized in artificial intelligence and machine learning, has just opened a branch in Germany. From Berlin, the scale-up will primarily help digital native companies to operate more efficiently. Later it also wants to serve companies active in the manufacturing industry and the retail, healthcare and media sectors. The new office is the next step of the ambitious ML6 to become a reference in Europe in the field of AI and machine learning.
ML6 from Ghent put itself on the map in Belgium in no time with its solutions in the field of AI, machine learning and reinforcement learning, whereby self-learning systems are created that learn to perform certain actions based on historical data. For example, ML6 helps companies from various sectors with solutions developed for image recognition, predictive maintenance, quality control, demand forecasting, natural language processing … Moreover, there is an enormous demand for the Google Cloud expertise of scale-up.
But the ambition of ML6 extends beyond the Belgian borders and the growth of the scale-up is now reflected in the opening of a new branch in Germany. “The German market offers a lot of potential,” says Julie Scherpenseel, business developer at ML6. “The market there is much larger, more pragmatic and more technical than the Belgian one and the companies are therefore looking for a partner that can bring machine learning into production. We can offer that and we also differ from the current German suppliers. We have the necessary capacity and skills to build user-friendly and scalable machine learning applications. ”
Initially, ML6 in Germany focuses on companies that have established themselves in the tech hub of Berlin, digital natives with a digital product that have grown rapidly and have already proven their value in the market. “These companies realize better than anyone that they have to evolve quickly to remain competitive in the market and machine learning is often the next step for them ,” says Julie Scherpenseel. “Thanks to our deep technology expertise, these parties see us as a strategic innovation partner. We get to work quickly and also focus strongly on research, which means we can quickly translate academic papers into code. That way we can immediately introduce innovations to our customers and offer them a competitive advantage. ”
In a second step, ML6 will focus its efforts on companies active in the manufacturing industry and in the retail, healthcare and media sectors. ML6 maintains close collaboration with Google Cloud for each of these sectors.
The start-up in Germany has not missed its effect. “Meanwhile, we are also Google’s premier partner for machine learning in Germany,” explains Julie Scherpenseel. “In both Berlin, Hamburg and Frankfurt we are asked by Google to give two-day master classes in machine learning. In addition, we have also been included in the German ‘AI Startup landscape 2019’. ”To outline the start-up landscape, more than 1,000 German AI start-ups were screened for data, talent, scalability and general quality by the German UnternehmerTUM, among others. and appliedAI. The 214 most promising start-ups were finally included.
ML6 therefore does not sit still. The office currently has three experts. One person operates from Berlin, the other two from Belgium, but that will soon change. “By the end of 2019 we want to turn Germany into an independent office with at least five German-speaking experts,” says Julie Scherpenseel. “Naturally there will continue to be a strong collaboration between the German and Belgian offices to ensure continuous knowledge sharing. In the longer term, we also want to be more active in Frankfurt, Hamburg and Munich. “
However, the growth ambition of ML6 does not stop in Germany. The scale-up opened an office in Amsterdam earlier this year and also has its first projects in progress in the United Kingdom. Possibly France and Switzerland will follow later. “Our European expansion is fully in line with our ambition to become the reference in Europe in terms of artificial intelligence and machine learning,” concludes Julie.