Pipe Genie: Multi-sensor Analytics for Difficult-to-Inspect Pipelines
Customer: Fortune 100 Corp, Global footprint of pipelines
XaaSLabs harnesses computer vision, pattern recognition, and cognitive analytics to enable businesses to illuminate underutilized data sources —image, magnetometric, acoustic, x-ray, audio, and video files; machine and sensor information produced by survey platforms like drones and real-time monitoring sensors — to derive insights process improvements that can lower costs and improve and decision-making across the oil and gas industry.
XaaSLabs improves oil and gas data analytics, boosting worker performance, automating complex jobs, and creating "cognitive agents" that mimic human interaction and reasoning

Customer: Fortune 100 Corp, Global footprint of pipelines
Customer Pain Point: Difficult to Inspect Pipelines, Poor Inspection Reliability, Highly Manual, Ad hoc and inefficient workflows
Inspection Modality: ILI, Magnetic, Acoustic, Pressure
Diff, Temperature, Visual, Satellite
Inspection Robot: Indoor Drone, Crawler
Deployment Modality: Offline Assistance
Status:
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Deployed (Offline Screening Mode)
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System currently being deployed and scaled globally
Key Results: Post-inspection Data Analysis time saved from multiple weeks to < 2 days
Pipe Genie: Fortune 100 Corp, Global footprint of pipelines
Fusing Multiple Sensor Streams for Improved Inference
Inspection Modality: ILI, Magnetic, Acoustic, Pressure
Use
Cases: Integrity
Assessment
Inspection Planning • Enhanced Leak detection (to augment existing Leak detection systems)
Key Capabilities:
• Visualization
• Flaw Identification
• Flaw Sizing
• Workflow Automation
Real-time Acquisition Assistance
