AME is an extensible platform for detecting anomalies across live data streams, recorded files, system logs, time-series data, and binary feeds. From lightweight statistical models to Isolation Forest and GPU-capable autoencoders, AME makes it easy to train, detect, and monitor through either a powerful CLI or an intuitive WebUI. Connect files, TCP, or UDP sources, run batch or continuous online learning, and watch anomalies appear in real time with live metrics, visual dashboards, CSV exports, and optional email alerts. With pluggable models, parsers, and transports, AME adapts to your data and grows with your monitoring needs.
Built for flexibility from day one, AME can grow with your data and your use case. Its pluggable architecture makes it easy to add custom models, parsers, and transports, giving teams a practical path from rapid experimentation to reliable, always-on anomaly monitoring.
Note: Non-Disclosure Agreements (NDAs) can also be discussed based on your project requirements.
Please let us know via the following web form if interested in a service introduction or pricing:
Daiphys is a professional services company for research and development of leading-edge technologies in physics and engineering. Get started accelerating your business through our deep expertise in R&D with AI, quantum computing, and space development!
Imaging Technology Consulting »
Experimental Design Assistance »
ZAKO (Zero-leakage AI for Knowledge Orchestration) »
AME (Anomaly Monitoring Engine) »
SAVA (Scene Analyzer for Video Abstraction) »
PoCHI (Proof of Concept for Handling Images) with Deep Learning »
Daiphys Technologies LLC / 大物理技術研究所