WaveGuard Anomaly Detection

Example Use Cases

• 1

  Detect anomalies in any structured or unstructured data without ML expertise.

• 2

  Zero-configuration, stateless anomaly detection with GPU acceleration.

• 3

  Integrate physics-based anomaly detection into AI workflows like Claude Desktop.

Description

WaveGuard is a general-purpose anomaly detection API powered by GPU-accelerated wave physics instead of machine learning. It detects anomalies in any data type with a single API call, requiring no training pipelines or model management. The MCP server integration enables AI agents like Claude Desktop to perform anomaly detection without ML expertise, enhancing their ability to identify deviations in structured data, logs, time series, and more.