Zeta Alpha introduces a new generation of multimodal agents specialized in manufacturing and engineering knowledge. Bringing 3D CAD into the same workflows as documents and tabular data, the agents can reason over 3D geometry and functionality to deliver answers grounded in your technical sources.

General-purpose AI hits a wall when encountering table-heavy validation reports or complex system diagrams where a single value can impact safety and compliance. Watch our full Future Labs Basel session recording with Sartorius to see how we built a customized, agentic RAG assistant that achieved a 30%+ accuracy improvement and deployed in just six weeks.

Introducing a new type of AI agents in the Zeta Alpha platform that we call superagents. Within this new architecture you can coordinate AI work for complex long horizon tasks in industrial research, business analysis or engineering validation, through multi-agent delegation, building and evolving expert skills, tool use, platform awareness and memory.

Zeta Alpha was all-in at Hannover Messe 2026, the world's largest industrial trade fair. We used the opportunity to launch 3D CAD support and multi-agents, discuss sovereign European AI and connect with industrial companies on the state of AI implementations.

The real question is not whether AI will have an impact, but where it can create the most value, and how to design it for industrial complexity, control, and sovereignty, and make the whole company and its people smarter.

As industrial AI matures from initial proof-of-concepts toward high-stakes, reliable implementation, the manufacturing sector faces a specific challenge: how do you transform decades of fragmented technical documentation into a competitive advantage? In a recent episode of the Industrial AI Podcast , Zeta Alpha founder and CEO Jakub Zavrel sat down with Robert Weber to discuss the practicalities of deploying agentic systems industrial enterprises: Source data quality: the cr