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BKOAI's Multimodal Doc Search Agent masters the complexity of documents and technical drawings, bridging the gap between unstructured text and visual engineering data.
The Multimodal Doc Search Agent is an advanced intelligence layer capable of "reading" both text and visual data. It is specifically designed to solve the challenges of navigating complex industrial manuals and intricate technical drawings.
Bridging the gap between complex technical documentation and visual engineering data, our agent transforms static archives into actionable insights through seamless traceability and deep diagram intelligence.
Automatically retrieves relevant PDFs and highlights exact paragraphs or bounding boxes to provide verifiable evidence. This ensures every AI-generated response is grounded in engineering truth, allowing users to instantly validate sources without manual searching.

Identifies P&ID components and layouts, transforming static drawings into structured data to map functional relationships. This capability eliminates the traceability gap between text manuals and engineering visuals.

Uses an intelligent router to handle "image-to-image" searches across extensive technical archives and historical records. Users can simply upload a photo or a sketch to find matching design patterns, maintenance logs, or similar components across the entire database.

Masters the complexity of both unstructured text and visual engineering data to eliminate traceability gaps between documents. By synchronizing technical manuals with CAD models and drawings, it provides a unified intelligence layer for comprehensive industrial insights.
