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Festo AI Factory

Unlock the knowledge in internal documents for multiple use cases across your organization. Use internal enterprise data with LLMs securely and at scale.

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The challenge

Festo operates with large volumes of product and process knowledge spread across documents and systems, critical for customer support, maintenance, training, and internal alignment. The company needed a practical way to:

  • Make internal product documentation searchable and usable in day-to-day workflows;

  • Reuse the same foundation across many AI applications;

  • Enable secure interaction with documents (permissions, controlled access);

  • Reduce time-to-value for new LLM use cases while keeping governance manageable.

The solution

Zeta Alpha provides the backbone for Festoʼs LLM processes, enabling multiple AI applications on top of existing knowledge, grounded in internal sources rather than generic model outputs. This framework allows Festo teams and customers to ask questions and get trusted answers from (internal) documents and enterprise systems.

The result

Launch new AI use cases faster by reusing the same customizable framework;

Improve answer consistency, accuracy and relevance by grounding responses in internal sources;

Streamline support, operations and internal knowledge access;

Extend AI automation across functions: support, maintenance, learning, internal comms and more.

Struggling to make complex internal documents actionable?

Leverage Zeta Alpha’s secure, pre-built retrieval architecture to turn your proprietary knowledge into reliable AI workflows in weeks, not months.

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