AI built for serious technical PDFs.
noeud.ai transforms manuals, schematics, diagrams, training videos, and engineering procedures into structured, searchable knowledge — across six high-value industrial domains.
Built for complex, structured technical content.
Designed for documents that mix text, diagrams, tables, labels, procedures, and operational logic — the kind of content where generic extraction tools fail silently and confidently.
Six industrial sectors. One extraction platform.
Each domain uses tailored extraction ontologies, document-type awareness, and industry-specific entity models to capture knowledge that generic tools miss.
CNC Machining
Machine manuals, programming guides, maintenance procedures, tooling references, and G-code documentation.
Electronics Engineering
Datasheets, circuit documentation, PCB references, semiconductor manuals, and specification tables.
Aviation Systems
Aircraft maintenance manuals, system schematics, checklists, operating procedures, and wiring documentation.
Medical Devices
Equipment manuals, calibration guides, alarm references, configuration tables, and imaging system procedures.
Automotive Engineering
Repair manuals, engine documentation, diagnostic procedures, parts references, and wiring diagrams.
Robotics & Automation
Control logic, automation sequences, PLC parameters, sensor relationships, and robot operation knowledge.
What the platform actually does.
No vague promises. Here is what noeud.ai extracts, structures, and delivers from your technical documentation.
Technical PDF analysis
Parse manuals, datasheets, service procedures, and structured documentation with domain-aware extraction that understands document hierarchy, not just text.
Diagram & table interpretation
Capture relationships from schematics, labeled figures, specification tables, and multi-part layouts. Visual elements are linked to their textual context.
Knowledge graph assembly
Transform dense documentation into entities, relationships, facts, and procedures — structured as machine-readable knowledge graphs ready for search or downstream systems.
Domain-specific search
Query extracted knowledge with domain awareness. Find the right procedure, specification, or parameter — even when the original PDF buries it inside a 400-page manual.
REST API integration
Upload documents, trigger extraction, and retrieve structured results through clean API endpoints. Designed for integration into existing workflows, not for replacing them.
Multi-document correlation
Cross-reference entities and facts across multiple documents. A part number mentioned in a maintenance manual links to its specification in the datasheet.
How this becomes useful in the real world.
Real scenarios where structured technical knowledge makes measurable operational difference.
Technical search across manuals
Find relevant procedures, specifications, alarms, and parameter references across thousands of pages. Stop scrolling through PDFs — ask a question, get a grounded answer with source location.
Maintenance & operator assistance
Surface machine knowledge, troubleshooting logic, and procedural guidance from dense documentation. Reduce dependency on the one expert who remembers where everything is.
Knowledge graph enrichment
Convert technical content into structured entities and relationships for downstream search, RAG pipelines, recommendation systems, and operational automation.
Onboarding & training acceleration
New technicians and engineers can query extracted knowledge instead of manually reading hundreds of pages of legacy documentation during their first weeks.
Compliance & audit preparation
Quickly locate specific procedures, parameter values, calibration records, and operational references required for regulatory compliance and audit response.
Legacy documentation recovery
Extract structured knowledge from older manuals, scanned documents, and archived PDFs before the institutional memory walks out the door.
The cost of not structuring your documentation.
Every minute a technician spends scrolling through a PDF is a minute the machine is not running. Here is what that costs.
Search time: -96%
Queries that took 10-15 minutes of manual PDF navigation resolve in under 30 seconds with domain-aware knowledge graph search.
Expert dependency: -73%
Senior technicians spend less time answering questions that structured documentation should answer. Their expertise is freed for complex problems.
Onboarding: 2x faster
New technicians query the knowledge graph instead of learning to navigate legacy PDFs. Time to independence drops from 6 months to 3.
Technical knowledge at the machine — and watching it 24/7.
The noeud.ai mobile app puts document intelligence in the hands of field technicians. Continuous vision monitoring watches your machines around the clock.
Chat with your documentation
Ask technical questions from the shop floor and get grounded answers with source citations — instant access to your entire knowledge graph.
Snap a photo, get a diagnostic
Photograph an HMI screen, an error code, or a machine component. The app identifies the context and returns relevant procedures, alarm codes, and troubleshooting steps.
Guided troubleshooting
Step-by-step diagnostic workflows powered by your knowledge graph. The app guides technicians through fault isolation based on what they see and report.
Offline-ready
Critical knowledge cached locally for environments with limited connectivity. The app works where your machines work — not just where your Wi-Fi reaches.
Field reports
Capture observations, photos, and diagnostic results directly from the machine. Reports sync to the knowledge graph, enriching it with real-world field data.
iOS native
Built natively for iPhone. Optimized for one-handed use with gloves, in noisy environments, under factory lighting. Designed for the shop floor, not the boardroom.
Continuous HMI monitoring
Mount a camera on any HMI, control panel, or machine display. The system watches the screen 24/7 and detects anomalies in real time — alarm patterns, parameter drift, unusual sequences, and error states before an operator notices.
Real-time anomaly detection
The vision system learns what normal looks like on your screens. When something deviates — an unexpected alarm, a value out of range, an unusual display state — it triggers an instant alert with context from the knowledge graph.
Multi-camera coverage
Monitor multiple machines simultaneously. Each camera feeds into the same knowledge engine — alarms on Machine 3 are cross-referenced with recent events on Machine 7. The system sees what no single operator can.
Remote live feeds
View any camera feed in real time from anywhere — home, hotel, another facility. See exactly what is on the HMI screen right now, as if you were standing in front of the machine. No VPN, no remote desktop.
Instant alarm forwarding
When a camera detects an anomaly, an alert is pushed to your phone with a screenshot, the alarm description from the knowledge graph, the recommended procedure, and a link to the live feed. Assess severity in seconds.
Collaborative remote support
A senior technician at home sees the same screen as the junior operator at 2 AM. Guide troubleshooting in real time through the live feed, with the knowledge graph providing technical context. Distance disappears.
Ready to structure your technical knowledge?
See how noeud.ai handles your actual documents — manuals, schematics, datasheets — in a live domain-specific demo.