NEWS & PRESS.

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

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.

ML6 is pleased to share that it has achieved the AWS Advanced Tier Services Partner status. September 13, 2023- ML6 has demonstrated a high level of expertise and success in deploying AWS products and solutions for clients across the Benelux and DACH regions. Now the company is pleased to share that it has achieved the AWS Advanced Tier Services Partner status.

ML6 is proud to announce its recent achievement as Azure Solution Partner for Data AI status. December 4, 2023 – This accomplishment highlights ML6’s commitment to excellence in data management and AI solutions, leveraging the robust Microsoft Azure platform .

Accolade Wines enlisted the experts at ML6 to support them in implementing an ML process that enabled real-time analyses from production. 31 October 2023- Accolade Wines partnered with ML6 to harness machine learning for real-time production insights. This global premium wine company, known for brands like Hardys and Petaluma, faced challenges in monitoring their bottling lines due to different machines and systems not communicating seamlessly. ML6 implemented a machine learning solution that captures data from various production stages and visualizes it in real-time using Grafana dashboards. This setup helps operators detect wine loss instantly, allowing immediate corrective actions and reducing waste. Within six months, the initiative delivered a remarkable 200% ROI by cutting financial loss and increasing efficiency. The AI-powered system monitors flow rates, tank volumes, and filtration, generating alerts when anomalies occur. Beyond wine production, this ML-powered approach exemplifies how industries can overcome siloed equipment issues and optimize processes through integrated data and AI. Accolade Wines’ collaboration with ML6 sets a new standard in sustainable, data-driven manufacturing.

AI models offer transformative potential in OT environments, but safety must come first. 26 October 2023- Increasingly, manufacturers are turning to digitalization to boost production efficiency and quality. However, integrating AI in OT systems brings unique cybersecurity risks that must be carefully managed. ML6 demonstrates how AI-powered inline quality inspection and process control can reduce waste and elevate product standards safely. The key is balancing IT-OT separation and convergence. While IT systems face external cyber threats like ransomware, OT systems risk physical damage from security breaches. The classic Purdue model with an intermediary DMZ zone ensures communication between IT and OT is controlled and threats contained without halting production. A naive cloud-based AI control system can jeopardize OT safety if the DMZ is bypassed. Instead, a secure setup uses the DMZ as a buffer, employing malware scanning and controlled FTP servers to protect critical infrastructure. This approach blends scalable cloud computing power for AI model training with industry-trusted frameworks like Purdue. In short, with the right architecture and security measures, AI can safely revolutionize OT automation —boosting efficiency, reducing waste, and protecting critical systems from cyberattacks.

Four promising companies—Chili Publish, Loop Earplugs, ML6, and TechWolf—are competing for the prestigious Scale-up of the Year award. October 12, 2023 — This recognition celebrates innovative and high-potential startups that are making significant strides in their respective industries. The award is an important highlight for these scale-ups, following the success of the previous winner, Feops. Each company brings unique expertise, from publishing technology to advanced AI solutions and consumer products. This competition reflects the dynamic landscape of tech scale-ups driving economic growth and innovation. The award not only honours past achievements but also paves the way for future opportunities and market expansion. For investors and stakeholders, this spotlight signals companies worth watching closely. Interested parties can follow the developments and final winner announcement to stay informed about emerging leaders. This article from De Tijd offers an insightful overview of the contest and competing companies. Stay updated on industry trends by exploring such significant news in the scale-up ecosystem.

deCYPher: AI and Synthetic Biology Unite to Harness Rare Natural Compounds September 25, 2023 – deCYPher is a new European Horizon project that seeks to merge synthetic biology with artificial intelligence and machine learning. Launched with a kick-off meeting in Gent, Belgium, representatives of 10 partners from 6 European countries came together to discuss deCYPher’s ambitious goal: overcoming hurdles to produce valuable compounds (usually extracted in small amounts from plants) in industrial biotechnology – specifically terpenoids and flavonoids, natural compounds that encompass about 30.000 different chemical substances.

ML6 machine learning quality inspection in manufacturing. September 19, 2023 — Many companies view machine learning as a black box, uncertain about its workings and applications. ML6 aims to demystify this technology in manufacturing by developing a proven methodology to automate quality inspection quickly, effectively, and affordably. With over ten years of practical experience, ML6 uses vision technology and smart algorithms to help clients improve process automation, product quality, and operational efficiency across diverse sectors — from cigars and carpets to microchips and agricultural machinery. ML6’s approach operates on three levels: gathering visual data to detect product or process defects; adjusting production to remove faulty items efficiently; and feeding insights back to optimize process parameters and prevent future defects. This results in substantial savings, waste reduction, and deeper process understanding. The solution is designed to be accessible to SMEs, relying on budget-friendly hardware and flexible integration. Clients can expect model implementation within a week and full operational deployment within three months, including staff training for seamless adoption. A notable example is ML6’s collaboration with machine builder Cosmec, developing an automated system to detect and remove defective bricks from production lines, replacing manual inspection and generating valuable quality insights.