AI knowledge assistant, no internet required
Military field maintenance, offshore platforms, submarine crews, Antarctic research stations — when you’re diagnosing and repairing complex equipment without connectivity, you need an AI assistant that works from local documentation, not cloud APIs.
Complex equipment, zero connectivity
Field engineers work from PDF manuals, technical orders, fault databases, and parts catalogues. When something breaks in a disconnected environment, they need to cross-reference across these documents to diagnose faults and identify repair procedures. The documents have structural relationships between systems, sub-systems, and components that text search misses. And there is no internet to fall back on.
Example: Equipment fault diagnosis
A field engineer on an offshore platform is troubleshooting a hydraulic system fault. Their corpus includes the equipment manual, maintenance procedures, fault code databases, parts catalogues, and historical fault reports. Morden’s knowledge graph captures the relationships between system components, fault codes, diagnostic procedures, and spare parts. The engineer can ask ‘What are the possible causes of fault code H-4712 in the main hydraulic actuator, and which diagnostic procedures apply?’ and get a cited answer referencing specific manual sections and parts numbers.
Where the market stands
This is the most intuitive use case for offline AI — and the closest to the original problem Morden was designed to solve. No existing product combines offline operation, knowledge graph-powered document understanding, and source quality differentiation for field maintenance scenarios.
Want to see Morden work with field engineering documentation? Get in touch at hello@nichesoft.co.uk.