Description
LotusEye provides an accessible AI anomaly detection solution designed for users without any AI expertise. The platform simplifies the process of building and deploying AI models for anomaly detection, allowing anyone to upload their data and generate models with ease. The core functionality revolves around a straightforward three-step process: first, users upload training data representing normal operations to create an AI model. Second, they upload test data to identify anomalies. Finally, they review the anomaly scores generated by the AI on the interface. If these scores exceed a predefined threshold, it indicates a potential anomaly requiring inspection.
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The platform emphasizes a 'start for free' approach, offering free model creation and score calculation. This allows users to validate the effectiveness of the AI for their specific data and needs before considering any paid plans. Paid plans introduce a range of advanced features, including email notifications for alerts, data uploads via API for automated workflows, and multi-member management capabilities for collaborative use. These features are tiered across different pricing plans, catering to varying levels of usage and organizational requirements.
LotusEye supports various data formats, primarily CSV files, including both wide-format and long-format structures. The system can process numerical data from diverse sources, not just traditional sensor data. Examples include converting command outputs or web server logs into CSV format for anomaly detection. The anomaly score is calculated hourly, and the accuracy of detection is dependent on the quality and representativeness of the training data. Users are encouraged to use the free plan to test the system's ability to detect early signs of anomalies and assess the rate of false positives.
The pricing structure includes a Free tier with basic limitations, a Light plan for individuals or small teams, a Standard plan with expanded capabilities, and a Business plan for larger organizations with extensive needs. All paid plans support credit card payments via Stripe, with fees denominated in Japanese Yen, subject to exchange rate fluctuations. LotusEye aims to democratize anomaly detection, making it a practical tool for a wide range of applications and industries.
- CategoryForecasting & Predictive Analytics
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
LotusEye AI Anomaly Detector's Core Features
AI model creation through data upload
Anomaly detection by comparing test data to trained models
User-friendly interface requiring no AI knowledge
Free tier for model creation and score calculation
Email notifications for anomaly alerts (paid plans)
Data upload via web API (paid plans)
Multi-member management (paid plans)
Support for CSV data formats (wide and long)
Hourly anomaly score calculation
Anomaly score threshold for inspection triggers
Scalable pricing plans from Free to Business
How to use LotusEye AI Anomaly Detector?
Upload Training Data: Provide data representing normal operations to create an AI model.
Upload Test Data: Submit new data to the AI model to check for anomalies.
Review Anomaly Scores: Examine the calculated anomaly scores on the platform's interface.
Inspect Equipment: Investigate any equipment where anomaly scores exceed the set threshold.
LotusEye AI Anomaly Detector's Use Cases
- Industrial Equipment Monitoring
- Server Performance Analysis
- Financial Transaction Monitoring
- Network Traffic Analysis
- Quality Control
- Log File Analysis
