OuterMotion
Autonomous intelligence for physical operations.
Three AI products that give existing factory equipment, cameras, and sensors an intelligent brain — turning disconnected machines into coordinated, autonomous systems.
The industries that move physical things are still running on manual processes. Quality inspection, vehicle coordination, dock scheduling, production monitoring — performed by people with clipboards, radios, and spreadsheets.
OuterMotion bridges the gap between hardware and software. We are building an AI-native platform that connects the factory gate to the production floor to the shipping dock — one intelligent system seeing everything.
Australian manufacturing industry value added
investing or planning to adopt AI and automation
of total sales lost to defects, rework, and waste
Australia’s manufacturing sector employs 902,000 people. The skills shortage is acute — 36% of assessed occupations are in national shortage. 80% of manufacturers are investing or planning to adopt AI. The gap: there is no Australian-built, AI-native platform connecting manufacturing floor operations to yard logistics.
people employed
902,000
in Australian manufacturing
skills shortage
36%
of manufacturing occupations in national shortage
investing in AI
80%
of Australian manufacturers investing or planning to adopt
manual inspection accuracy
~80%
20% defect escape rate
OuterMotion is not three separate products. It is one AI-native platform with three product modules that share a common technology layer. Every module uses the same cameras, the same edge compute hardware, the same cloud platform, and the same computer vision engine.
A factory that buys one product already has the infrastructure for the other two — upselling is a software unlock, not a new installation.
Industrial cameras and sensors capture visual data
Deployed on-site, no production line changes required
Computer vision models detect, classify, and track in real-time
Custom-trained per factory, edge inference
Coordinates multi-step workflows as connected missions
Deterministic decisions for safety-critical operations
Connects to your existing factory systems
ERP, MES, WMS compatibility
Single view across all operations
Real-time visibility and analytics
The eyes on the production line.
A camera-and-edge-compute unit that plugs into any production line and performs real-time visual quality inspection. Detects defects, classifies them, measures dimensions, and makes pass/fail decisions at line speed.
Site Assessment
Field engineer visits the factory, identifies inspection points, documents lighting and line speed.
Hardware Deployment
Mount camera and edge compute unit. No changes to existing production line. Day 1-2.
Data Collection
Capture 500-2,000 images of products. Operators tag known defect types. Day 2-5.
Model Training
Train custom computer vision model on specific products and defects. Day 5-10.
Go-Live
Deploy model to edge. Real-time inspection begins. Human monitors alongside for 48 hours.
Continuous Learning
Uncertain detections flagged for review. Corrections feed back into retraining.
The brain at the factory gate.
An AI-powered yard operating system that automates gate check-in/check-out, tracks vehicle and trailer movements, coordinates dock scheduling, and provides real-time visibility — from highway to warehouse door.
An AI-powered yard operating system purpose-built for Australian manufacturing sites. We go further than basic yard management: connecting yard operations to the production floor.
Automated check-in/check-out using ANPR. Reads plates, verifies arrivals, logs compliance.
Real-time map of every vehicle, trailer, and asset. Tracks movements and dwell times.
AI-optimised dock assignment based on load type, priority, and production schedule.
Chains gate entry → yard → dock → unloading → production → exit as one coordinated mission.
Dwell time analysis, throughput metrics, bottleneck identification, compliance reporting.
The Yard-to-Floor Connection
YardAI connects to the production schedule via MES/ERP integration so dock assignments are prioritised by production need. If Line 3 is about to run out of raw materials, YardAI fast-tracks the right truck to the optimal dock. No other yard management system does this.
The intelligence layer on the factory floor.
An AI monitoring system that watches production equipment in real-time. Detects anomalies, tracks cycle times, identifies bottlenecks, and predicts equipment failures before they cause unplanned downtime.
Production Monitoring
Cameras track cycle times, count units, measure throughput in real-time
Anomaly Detection
ML models learn normal equipment behaviour and flag deviations — unusual vibrations, irregular movements
Predictive Maintenance
Correlates anomaly patterns with failure data to predict when equipment needs maintenance
Bottleneck Analysis
Identifies which station is constraining throughput at any given moment
OEE Dashboard
Real-time Overall Equipment Effectiveness across all monitored lines
FloorAI builds on production data captured by InspectAI cameras, enabling predictive insights that improve over time.
The real power of OuterMotion is not any single product — it is the compounding value when products combine at a single site.
Quality data links to inbound material sources. Dock scheduling optimises by real-time production status. Defect trends correlate with equipment degradation.
One platform sees the truck arrive, the material enter production, the product get inspected, and the finished goods leave.
Defect cluster detected → traced to specific supplier delivery → alert procurement
Production delay → dock assignments reprioritised → yard congestion prevented
Defect rate rising → bearing anomaly detected → maintenance scheduled before failure
All inference runs at the edge — on-site, on the factory floor, with zero cloud dependency for real-time decisions. Production lines run at speed. Australian factories have unreliable internet. Defence manufacturers won’t send images to the cloud.
Latency
Edge inference delivers results in <50ms. Cloud round-trip adds 100-500ms.
Connectivity
System works fully offline. Cloud used only for training and analytics.
Data Sovereignty
All production data stays on-site. Critical for defence manufacturing.
Computer vision · Edge inference · Real-time processing · Industrial integration
The Factory Scan
Our primary sales tool: a free half-day on-site assessment. Our field engineer walks the factory floor with the ops manager, identifies inspection points, photographs production lines, and documents the yard layout.
This produces a Factory Intelligence Report showing exactly where defects are escaping, what dwell times look like, and what equipment downtime is costing.
Most factories that complete a scan see immediate value and choose to deploy.
The scan process
Walk the floor
Field engineer and ops manager identify inspection points, yard layout, equipment.
Document
Photograph production lines, measure line speeds, catalogue defect types.
Analyse
Build Factory Intelligence Report: quality gaps, yard inefficiency, downtime costs.
Present
Show the ops manager what they’re losing and how OuterMotion prevents it.
Deploy
Same hardware, immediate results. Operational within days.
InspectAI
InspectAI deployment — proving the technology with Australian manufacturers.
YardAI
YardAI launch — extending intelligence from the floor to the yard.
Full Platform
Full platform — the complete OuterMotion operating system.
First we give factories eyes. Then we give them a brain. Ultimately, we give them hands. Each phase funds and enables the next.
OuterMotion is in active development. We’re looking for manufacturing operators who want to see what AI inspection looks like on their production line.
Start with a free Factory Scan — a half-day on-site assessment that shows you exactly where defects are escaping and what they’re costing you.