Eyer
Anomaly Detection
AI-powered observability for seamless integration
LotusEye is an AI-based tool which maintains a core focus on anomaly detection using sensor data. The software learns from normal behavior based on from the uploaded sensor data and automatically detects any deviations, raising an immediate alert during perceived anomalies.
Users without a comprehensive knowledge of AI can effortlessly construct AI models simply by uploading their data. The process of creating models as well as scoring is initially free, allowing users to ascertain the systems effectiveness before transitioning to a paid plan.
LotusEye also carries an array of features with each pricing tier including amenities like email notifications, data management by several members and data uploads via API.
The AI model at work with LotusEye functions by learning from the regular sensor data that has been previously uploaded. When test data reveals behavior straying from what has been deemed as normal, the anomaly score increases.
The system is flexible and supports two kinds of CSV files which includes both wide-format and long-format CSV files. Additionally, users are provided with the capacity to upload data through API, facilitating automatic data uploads.
Regardless of the kind of numerical data, as long as it is in CSV format, it can be utilized for anomaly detection with LotusEye.
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