Service Diagnostics

Video, telemetry, and device status data enable remote fault detection and guided troubleshooting for faster resolution.

Business impact

• Downtime — Minimizes equipment and service downtime through faster fault detection and resolution
• Diagnostic efficiency — Improves speed and accuracy of diagnostics by automating data analysis and feedback
• Overall Equipment Effectiveness (OEE) — Increases equipment productivity by reducing unplanned stoppages and maintenance delays

Data requirements

• Endoscopic video streams (Video) — Used for real-time remote analysis of medical procedures
• 3D ultrasound volume data (Image) — Supports semi-automatic image analysis and asynchronous diagnostics
• Device telemetry and PLC monitoring data (Numeric) — Enables root cause analysis of industrial automation failures
• Mobile app device status logs (Structured) — Provides immediate feedback and troubleshooting steps for smart devices
• Voice commands and interaction logs (Audio) — Facilitates voice-activated troubleshooting and contextual assistance

AI methods and techniques

• Predictive AI — Forecasts potential failures and diagnoses issues before they escalate
• Generative AI — Generates step-by-step troubleshooting instructions and diagnostic reports
• Agentic AI — Autonomously interacts with users and systems to guide diagnostics and remediation

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

3 documented case studies on record.

Companies using this: Kohler Co., NTT Corporation, Piur Imaging.