Inspect Smarter.
Operate Safer.
Autonomous computer vision and machine learning that transforms manual, hazardous asset inspections into real-time, data-driven intelligence — across your entire fleet.
Traditional Inspections Are Broken
Manual inspection is resource-intensive, dangerous in confined or elevated spaces, and creates bottlenecks that delay maintenance decisions. Sensors miss surface defects. Spreadsheets lose data. And your best inspectors are spending weeks reviewing images that AI can assess in minutes.
Full-Spectrum Inspection Intelligence
From visual AI to predictive analytics, our platform covers every stage of the asset inspection lifecycle — cutting costs, improving safety, and delivering actionable insights faster than any human-only process.
AI Visual Inspection
Computer vision models analyse RGB and thermal imagery captured by fixed cameras, drones, or mobile devices to detect surface defects, corrosion, and anomalies in real time.
- Corrosion & crack detection
- Thermal profiling
- Automated defect alerting
Drone & Robotic Inspection
Integrate autonomous UAVs and ground robots into your inspection program. Our platform ingests data from any hardware source and converts imagery into time-series insights.
- Hardware-agnostic integration
- Geo-tagged defect mapping
- Remote mission control
Predictive Maintenance
Machine learning models continuously monitor asset health signals and predict failure before it occurs — enabling condition-based maintenance scheduling and zero unplanned downtime.
- Real-time anomaly scoring
- Failure probability forecasting
- Automated work-order creation
Digital Twin Integration
Link inspection data to live digital twins for full asset lifecycle visibility. Overlay inspection results with GIS, engineering drawings, and historical maintenance records.
- 360° asset context
- Risk-based inspection planning
- Compliance-ready audit trails
Inspection Analytics Dashboard
A unified analytics layer that aggregates inspection results across your entire asset fleet, highlights risk hotspots, and surfaces actionable KPIs for operations teams.
- Fleet-wide risk dashboards
- Trend analysis & reporting
- Custom KPI configuration
Compliance & Audit Management
Digitise inspection checklists and automate compliance workflows to meet ISO 55001, API 510/570, and other regulatory frameworks — reducing audit prep time by up to 80%.
- Regulatory framework mapping
- Automated checklist enforcement
- Immutable audit records
Built for the
World's Hardest Environments
Live in Weeks,
Not Years
Our structured deployment methodology gets your first autonomous inspection running within weeks — without disrupting existing operations.
Asset Discovery & Baseline
We catalogue your asset register, classify criticality tiers, and establish a baseline condition model from existing inspection records and imagery.
Sensor & Data Integration
Connect cameras, drones, IoT sensors, and existing CMMS/EAM platforms via our open API layer — no rip-and-replace required.
AI Model Training & Validation
Purpose-built computer vision and ML models are trained on your specific asset types, environments, and defect classes, then validated against ground-truth inspections.
Deployment & Live Monitoring
Autonomous inspection runs are launched across your fleet. Real-time alerts, reports, and work orders are generated and routed to the right teams instantly.
Why Leading Industrial
Operators Trust Us
What You Get with Autonomous Inspection
- ✓Reduce O&M costs by up to 60%
- ✓Cut inspection cycle time from weeks to hours
- ✓Eliminate hazardous manual inspections
- ✓Achieve full regulatory compliance
- ✓Extend asset lifespan with predictive care
- ✓Centralise data across your entire fleet
Frequently Asked
Questions
Everything you need to know about deploying autonomous asset inspection at enterprise scale.
Our platform is industry-agnostic and has been deployed across pipelines, pressure vessels, transformers, wind turbines, transmission lines, manufacturing equipment, and offshore platforms. If a camera can see it, our AI can analyse it.
No. Our platform integrates with existing systems including IBM Maximo, SAP PM, Infor EAM, and ServiceNow via standard REST APIs. Inspection insights flow directly into your existing maintenance workflows.
Our production models achieve 99.4% defect detection accuracy on trained asset classes, validated against expert inspector ground truth. Models continuously improve as new inspection data is ingested.
Yes. We offer cloud SaaS, private cloud, and fully air-gapped on-premise deployments to meet data residency and security requirements in regulated industries.
A standard deployment with API integrations and model training typically completes in 6–10 weeks. Proof-of-concept engagements covering a single asset class can be live in under 4 weeks.
Ready to Modernise Your
Asset Inspection Programme?
Join leading industrial operators who have replaced manual inspection bottlenecks with autonomous AI intelligence. Start with a free assessment.
Talk to an
Inspection Expert
Tell us about your asset fleet, current inspection challenges, and we'll design a solution that fits your operations.