Enterprise Superintelligence

Executive Summary The field of Artificial Intelligence is in a constant state of evolution. For years, the focus was on building a single, powerful model capable of tackling any task thrown its way. But as the complexity of our problems grows, it's becoming clear that a lone genius, no matter how brilliant, can be outmatched by a well-coordinated team of specialists. This is the paradigm shift that brings us to multi-agent AI systems. A Multi-Agent System (MAS) is a team of specialized AI agents that collaborate to tackle complex problems. Use a multi-agent system when your challenge involves multiple tasks, dynamic environments, or specialized expertise that require agent coordination and agent communication. For simpler or well-defined workflows, a single intelligent agent or structured agentic workflow is often a better, faster, and more cost-efficient choice. The golden rule is to use the simplest setup that effectively solves your problem.

Executive Summary In this report, the ML6 Robotics AI team presents our experience preparing, executing, and evaluating two imitation learning use cases with different levels of complexity on custom datasets using the LeRobot framework. These learnings inspired us to join the 2025 LeRobot Hackathon and create a podium-finishing submission (team 297).

Executive Summary The article explains how Artificial Intelligence (AI) is transforming procurement from a tactical, manual function into a strategic driver of value, innovation, and resilience. By leveraging technologies such as machine learning, natural language processing, and Generative AI, organizations can automate and optimize every stage of the procurement lifecycle—from intelligent sourcing and supplier risk management to contract analysis and the procure-to-pay (P2P) process. The rise of integrated “Agentic AI” systems enables end-to-end workflow automation, predictive risk detection, and data-driven decision-making, while maintaining a human-in-the-loop approach to ensure strategic oversight. Ultimately, AI empowers procurement teams to reduce costs, improve efficiency, and proactively manage risks, positioning the function as a key enabler of organizational competitiveness and agility.

Ghent-based ML6 to make Belgium’s Federal Public Service of Justice more transparent and efficient.

AI in protein folding: a virtual playground Protein folding — the way amino acid chains fold into 3D structures — has long been one of the hardest problems in biosciences. With breakthroughs like DeepMind’s AlphaFold, recently awarded the Nobel Prize for Chemistry, predicting these structures is now faster and more accurate than ever.

ML6 is named as one of OpenAI’s Services Partners to drive AI adoption across Europe GHENT, BELGIUM – June 25, 2025 – ML6, a leading AI engineering partner dedicated to transforming businesses with innovative and reliable AI, announced its Services Partnership with OpenAI today. ML6 is now among OpenAI’s European services partners, who will reinforce its leadership in the rapidly evolving AI landscape. Founded in Belgium in 2013, ML6 has built a decade-long track record of translating cutting-edge AI research into business value, all while consistently staying ahead of the curve. Operating across Ghent (HQ), Berlin, Munich, and Amsterdam, ML6’s team of 140+ AI specialists is set to grow even further, with 50 new hires targeted by the end of the year.