High-precision Retrieval-Augmented Generation (RAG) engineered for complex technical documentation: P&IDs, equipment manuals, HAZOP studies, engineering specifications, and corporate SOPs.
Decades of valuable institutional engineering knowledge remain trapped in unsearchable archives. When an operational anomaly occurs or field engineers troubleshoot an industrial asset, locating the exact OEM operating curve, maintenance history, or P&ID instrumentation tag takes hours of manual searching across multiple disconnected drives.
Standard consumer search engines and public AI chatbots cannot read complex multi-column tables, technical drawing symbols, or industry acronyms, leading to dangerous errors and hallucinations.
Extracts complex tables, diagrams, and hierarchy without flattening columns or destroying document context.
Accurately indexes equipment tag numbers, part codes (e.g., PSV-1021A, ASME B16.5), and specific chemical formulas.
Every answer includes direct clickable snippets linking to the original document page and paragraph.
Engineered for organizations with strict data residency mandates. Deployable in complete air-gapped environments with zero data transmission to external third-party model providers.
Grounded in MTI's Industrial AI — Oil & Gas Platform and Industrial AI Copilot architectures, supporting bilingual technical operations and field engineers.
Schedule an architectural discovery session to review document indexing feasibility on your proprietary technical repositories.
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