Strategic consulting on data, AI, and industrial IoT infrastructure
M&L AG is a Frankfurt-based management consultancy focused on data strategy, AI, and industrial IoT. The tech stack reveals infrastructure-heavy operations: Azure, AWS, GCP alongside on-premise virtualization (VMware, Hyper-V, Proxmox), plus emerging adoption of Ansible, Python, and Terraform. Project pipeline centers on automation, high-availability systems, and predictive maintenance — positioning them as infrastructure modernization advisors for manufacturing and enterprise clients dealing with legacy system complexity.
M&L AG advises mid-market and enterprise organizations on strategic data use, artificial intelligence deployment, and industrial IoT transformation. The consultancy operates from Frankfurt with 11–50 staff and is structured around delivery (automation strategy, cloud migration, IIoT sensor networks) and operational support. Recent project work spans network automation, disaster-recovery architecture, monitoring integration, and predictive maintenance systems — indicating a customer base grappling with aging infrastructure, multi-cloud environments, and OT/IT convergence in manufacturing.
M&L AG operates across Azure, AWS, and GCP for cloud services, with on-premise virtualization via VMware, Hyper-V, and Proxmox. Development uses Python, JavaScript (React, Angular, Vue), and infrastructure-as-code tooling (Ansible, Terraform). Jenkins and GitLab CI/CD handle deployment automation.
Current projects include automation strategy development, cloud integration, high-availability and disaster-recovery systems, network automation, IIoT solutions for predictive maintenance, and infrastructure optimization. This reflects a focus on modernizing legacy operations and enabling real-time monitoring in manufacturing environments.
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