Industrial Intelligence
Built to Learn
AR Training. Real-World Maintenance. AI-Powered Knowledge Capture.
The self-improving platform where every interaction makes the system smarter.
The Problem
Industrial Knowledge is Bleeding Out
The Solution
EDLORE Captures Everything
AR-Guided Procedures
Digital overlays on real equipment. Technicians see step-by-step instructions in their field of view.
Chat-First Generative UI
Describe what you need. The interface builds itself in real-time — troubleshoot wizards, sensor dashboards, 3D models.
Self-Improving AI Core
Every correction, every completed procedure, every expert insight feeds the Learning Flywheel. Use = Improve.
Offline-First Architecture
Full functionality in signal-dead zones. Sync when connected. Zero downtime from network issues.
The Platform
Four Pillars of Industrial Intelligence
Tony Stark's workshop, not his suit HUD. A platform that understands your equipment and evolves with your team.
AR Training
Overlay digital procedures directly onto physical equipment. Step-by-step AR guidance reduces training time by 60% and eliminates procedure errors.
Chat-First Generative UI
Describe what you need in plain language. EDLORE generates 18 specialized UI components in real-time — from troubleshoot wizards to sensor dashboards.
AI Knowledge Capture
Every correction, procedure completion, and expert insight feeds a self-improving knowledge graph. Your institutional knowledge grows automatically.
3D Digital Twins
Interactive 3D models of your equipment — from GE90 turbofans to centrifugal pumps. Annotate, inspect, and train on digital replicas.
The Learning Flywheel
Use = Improve
The self-improving learning engine isn't a feature — it's the foundation. Every interaction makes every future interaction better.
CAPTURE
Every maintenance interaction — corrections, procedure completions, expert annotations — is captured automatically. No extra steps for technicians.
Corrections logged in real-time with context: equipment ID, step number, environmental conditions, technician expertise level.
Capabilities
Engineered for Real Work
Not a proof of concept. 423 source files, 68,000+ lines of production TypeScript, 1,391 passing tests.
18 Specialized Components
ProcedureViewer, TroubleshootWizard, Model3D, SafetyChecklist, SensorDashboard, PartsExploder, and 12 more. Each generated on-demand through natural language.
Interactive Digital Twins
Babylon.js-powered 3D models with annotation layers, cross-section views, and AR overlay support. From turbofans to centrifugal pumps — every component inspectable.
Multi-LLM Intelligence
Claude, GPT, and domain-specific models routed through an intelligent gateway. Automatic fallback, cost optimization, and response quality scoring built in.
3D Pipeline
STEP to glTF. Automated.
Drop a CAD file in. Get a web-ready, interactive 3D model out. The entire conversion pipeline runs automatically — no manual mesh cleanup, no export wrestling.
Ingest CAD assemblies from any engineering tool
Tessellation, mesh optimization, UV unwrapping
Device-adaptive levels of detail — phone to workstation
Web-ready 3D with Draco compression and PBR materials
Click any component to isolate, inspect, and annotate
Field techs fix model errors that propagate to all users
Automatic quality scaling from tablets to workstations
Disassemble assemblies to see internal components
Point-to-point distance, angle, and clearance checks
Project 3D models onto physical equipment via WebXR
Every field correction improves the model for all future users. When a technician flags a misaligned part or updates a label, the fix propagates across the entire fleet — turning everyday maintenance into continuous model improvement.
Augmented Reality
No Markers. No Setup. Point and Go.
EDLORE's markerless AR engine uses WebXR and on-device machine learning to recognize equipment instantly — no QR codes, no fiducials, no pre-scanning required.
Identify
Point your device at any piece of equipment. The ML model recognizes the asset, pulls up its maintenance history, and overlays relevant procedures in real time.
Annotate
Pin notes, warnings, and procedure links directly to physical components. Annotations persist spatially — the next technician sees exactly what you left behind.
Measure
Sub-centimeter point-to-point measurements in AR. Check clearances, verify alignments, and document dimensions without pulling out a tape measure.
Native browser support — no app install
On-device ML model, works without cloud
Sub-centimeter with ARCore/ARKit fusion
Full AR pipeline runs on-device
AI Gateway
Never Locked In. Always Best-in-Class.
One intelligent gateway routes to the right model for every task. Swap providers without changing a single line of application code.
Anthropic Claude
ReadyBest-in-class reasoning for complex maintenance procedures, safety analysis, and knowledge synthesis. Primary provider for commercial deployments.
Ollama
ReadyRun open-weight models entirely on-premises with zero external connectivity. Purpose-built for classified environments and SCIF operations.
Azure OpenAI
ReadyFedRAMP High authorized infrastructure for government workloads. Full compliance with ITAR, EAR, and DoD IL4/IL5 requirements.
vLLM
ReadyPagedAttention-optimized serving for high-volume inference on dedicated GPU clusters. Maximum throughput when latency budgets are tight.
Collaboration
Field Meets Office. In Real Time.
A senior engineer in Houston guides a field tech in Prudhoe Bay — live video, shared 3D models, synchronized annotations. And when the satellite link drops, everything keeps working offline.
Live Collaboration
LiveKit WebRTCA remote expert sees exactly what the field technician sees. Video, audio, annotations, and 3D model state all sync in real time over LiveKit WebRTC.
Offline-First Architecture
Electron + SQLiteIndustrial sites don't have reliable WiFi. EDLORE runs fully offline via Electron with a local SQLite database, then syncs intelligently when connectivity returns.
Security & Compliance
Security is the Architecture
Not bolted on. Not an afterthought. Security and compliance are embedded in every layer of the platform from day one.
NIST 800-53
ImplementedFull control implementation across all security domains
CMMC Level 2
CompliantControlled Unclassified Information (CUI) protection
FedRAMP
CertifiableArchitecture built to FedRAMP High baseline requirements
See EDLORE in Action
Schedule a live demo with our engineering team. See how EDLORE transforms maintenance operations for your specific equipment and workflows.
Typically respond within 24 hours. No sales spam — just engineers.