A composable platform that evolves with every contract and places engineering at the center of business knowledge.
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AI Knowledge Engine is designed to operate in sensitive technical environments, where security, document control, and traceability are essential requirements. Its modular architecture allows full compatibility with projects handling critical drawings, standards, RFIs, and deliverables, without compromising confidentiality or governance of technical knowledge.
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Private cloud, on-premise (edge), or hybrid
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Ideal for companies with critical information
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Roles, permissions, traceability, and auditing
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The combination of LLM + structured logic in the Knowledge Engine Tools implies the use of advanced language models along with defined technical rules and deterministic flows. The LLM interprets natural language and generates understandable solutions, while structured logic ensures responses align with specific standards and internal procedures. This fusion enables reliable, actionable, and regulation-compliant solutions.
It is especially useful for:
The AI Knowledge Engine is built on the principles of myservy's cognitive service model, an architecture designed to transform data, processes, and experiences into applicable, living, and governed knowledge assets.
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Interaction processes designed to help users think better, with AI as a facilitator for complex decisions.
Structures that transform technical activities into structured, reusable, and transferable knowledge.
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A modular approach that respects organizational context, validation workflows, and the sensitivity of critical information.
This conceptual foundation allows each AI Knowledge Engine implementation to learn through use, align with operational culture, and enhance the organization’s key capabilities without imposing closed models or generic solutions.
Discover how the AI Knowledge Engine can be progressively assembled in your plant or critical unit, prioritizing high-impact areas such as maintenance, engineering, or technical compliance.
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