LotusEye
AI-powered anomaly detection for sensor data — upload CSV files, create free models, and monitor equipment health
| What is it | AI-powered anomaly detection for sensor data — upload CSV files, create free models, and monitor equipment health |
|---|---|
| Pricing | Freemium — from $11/mo |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Best for | monitoring industrial equipment for early failure detection, analyzing sensor data from manufacturing processes |
| Domain registered | 2023 |
Data updated Aug. 1, 2026
What does LotusEye do?
LotusEye is an AI-powered anomaly detection tool designed specifically for monitoring sensor data from industrial equipment and systems. Users simply upload CSV files containing normal operational data to create AI models, then upload test data to receive anomaly scores that indicate potential equipment issues. The platform supports both wide-format and long-format CSV files, making it compatible with various sensor data configurations from manufacturing equipment, servers, and other monitored systems.
What sets LotusEye apart is its accessibility-first approach. Unlike many industrial AI tools that require technical expertise, LotusEye requires no AI knowledge—anyone can create models by uploading data. The free tier allows users to test the system's effectiveness before committing to paid plans, which is crucial for industrial applications where false positives can be costly. The platform calculates anomaly scores hourly and provides email alerts when scores exceed user-defined thresholds, enabling timely maintenance interventions.
This tool is particularly valuable for manufacturing teams, equipment maintenance professionals, and operations managers who need to monitor machinery health without complex AI implementation. Real-world use cases include detecting early signs of equipment failure in production lines, monitoring server performance in data centers, and analyzing sensor data from industrial processes to prevent downtime and optimize maintenance schedules.
Key features
What makes it stand outWho is LotusEye for?
Who benefits most from this toolPricing
Free tier available — start without a credit cardFree
- 1 models
- 10 sensors
- 10 uploads per day
- 6 months score data storage
- 1MB data size per upload
- 2,500 data hours per upload
- Model creation through manual upload
- Anomaly score check through manual upload
- 10 sensor data
- 10 times uploads per day
- 1MB data size per upload
- 2,500 hours (>3 months) of data per upload
- 6 months of score data storage
- Adding management members is not available
- Usage limitations on various basic features
Light
- 10 sensors
- 10 uploads per day
- 3 management members
- 6 months score data storage
- 1MB data size per upload
- 2,500 data hours per upload
- Test data upload via the web API
- Email alert notification
- 10 sensor data
- 10 times uploads per day
- 1MB data size per upload
- 2,500 hours (>3 months) of data per upload
- 6 months of score data storage
- 3 management members
- Weekly summary email is not available
- Anomaly analysis report is not available
Standard
- 50 sensors
- unlimited uploads per day
- 10 management members
- 12 months score data storage
- 20MB data size per upload
- 5,000 data hours per upload
- Test data upload via the web API
- Email alert notification
- 50 sensor data
- No limit on the number of uploads per day
- 20MB data size per upload
- 5,000 hours (>6 months) of data per upload
- 12 months of score data storage
- 10 management members
- Weekly summary email
- Anomaly analysis report is not available
Business
- 100 sensors
- unlimited uploads per day
- unlimited management members
- 36 months score data storage
- 100MB data size per upload
- 10,000 data hours per upload
- Test data upload via the web API
- Email alert notification
- 100 sensor data
- No limit on the number of uploads per day
- 100MB data size per upload
- 10,000 hours (>12 months) of data per upload
- 36 months of score data storage
- No limit on the number of management members
- Weekly summary email
- Anomaly analysis report
Trust & presence
Gallery
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