Manufacturing
Manufacturing AR-Guided Equipment Maintenance
Replace paper maintenance logs and tribal knowledge with AR-guided repair instructions,
digital work orders, and predictive maintenance analytics.
The Business Challenge
Manufacturers lose production time to equipment downtime, slow technician training,
and tribal knowledge that leaves when experienced workers retire.
Current Pain Points:
- Paper Maintenance Logs: Lost records, illegible handwriting, no analytics
- Tribal Knowledge: Critical repair know-how exists only in senior technicians' heads
- Slow Technician Training: New hires take months to learn complex equipment repairs
- Inefficient Repairs: Techs waste time searching manuals and consulting experts
- No Predictive Maintenance: Reactive repairs lead to costly unplanned downtime
- Parts Ordering Delays: Manual lookups slow down procurement process
What Success Looks Like:
- AR overlay shows step-by-step repair instructions on equipment
- Digital checklists guide technicians through maintenance procedures
- Computer vision identifies parts and suggests replacements
- Historical maintenance data enables predictive analytics
- New technicians get up to speed faster
- Reduced downtime and extended equipment lifespan
Our Solution: AR-Guided Maintenance Platform
Native iOS app whose step-by-step repair guidance is generated from the manufacturer's own manual and anchored on the machine,
with digital work orders and maintenance analytics on AWS serverless infrastructure and Vision Pro support.
Core Features
AR Repair Instructions
Point the device at the machine: step-by-step guidance generated from the manufacturer's own manual, anchored on the parts it names
Digital Work Orders
Create, assign, track maintenance tasks with photos, completion checklists, time tracking
Computer Vision Parts ID
Scan part to identify model number, view specs, check inventory, order replacements
Predictive Analytics
Machine learning predicts failure before it happens, schedule preventive maintenance
Knowledge Base
Searchable repair procedures, troubleshooting guides, equipment manuals, video tutorials
Vision Pro Compatible
Hands-free AR with spatial computing, voice commands, real-time remote expert assistance
Technical Architecture
Native Mobile Apps
- iOS: Swift, ARKit for AR overlays, Vision framework for part recognition
- Vision Pro: visionOS support for hands-free spatial computing experience
- Computer Vision: ML models for part identification and defect detection
- Offline-First: Download procedures for offline use in factory environment
AWS Serverless Backend
- API Gateway + Lambda: Work order management, equipment database, analytics
- DynamoDB: Maintenance history, equipment records, parts inventory
- Amazon Bedrock: Predictive maintenance ML models, failure prediction
- S3 + CloudFront: AR assets, 3D models, procedure videos, manuals
- Rekognition: Computer vision for part identification
Deployment Process
Step 1
Discovery & Modeling
Equipment audit, procedure digitization, 3D asset creation, workflow mapping
Step 2
Core Development
2D app, digital work orders, knowledge base, analytics dashboard
Step 3
AR Implementation
AR overlays, computer vision, Vision Pro optimization (optional)
Step 4
Testing & Launch
On-site testing, technician training, acceptance testing, staged rollout
Deployment Models Available
Private Instance
Dedicated AWS infrastructure under your account. Full control and data ownership.
White-Label Multi-Tenant
Shared infrastructure, your branding. Lower cost, faster deployment.
Phased AR Rollout
Launch the 2D version first, then add AR features on top.
What Changes for Your Business
Every Repair Step
AR guidance and digital checklists accelerate maintenance work
Technician Onboarding
New technicians productive quickly with guided procedures
Maintenance Before Failures
Predictive maintenance prevents failures before they occur
Additional Benefits
Knowledge Preservation
Capture expert knowledge before senior technicians retire
Compliance Documentation
Complete audit trail of all maintenance activities
Parts Optimization
Analytics reveal high-failure parts for vendor negotiations
Extended Equipment Life
Proper maintenance protocols increase asset lifespan
Ready to Transform Your Maintenance Operations with AR?
Let's discuss your equipment and whether to start with 2D or full AR implementation.
🍪 We value your privacy
We use cookies and analytics to understand how you use our site and improve your experience. This includes Google Analytics for tracking site usage.
By clicking "Accept", you consent to analytics tracking. Learn more in our Cookie Policy and Privacy Policy.