LotusEye

AI-driven anomaly detection for sensor data that automatically learns normal patterns and flags irregularities for prompt alerts.

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AI Detector AI Models AI For Data Analytics

About LotusEye

LotusEye is a flexible AI-based anomaly detection platform tailored for sensor data. It autonomously learns typical operational patterns and instantly alerts users when anomalies are detected. Designed for ease of use, it allows users to upload data and build models without AI expertise. Premium plans include features like email alerts, API data integration, and team management tools.

How to Use

To get started with LotusEye, upload normal operation data to train your AI model. Then, upload test data to identify anomalies. Review the AI-generated anomaly scores; if scores exceed your set threshold, investigate the equipment status.

Features

AI-based anomaly detection system

Team management (premium plans)

Real-time alert notifications

Free model creation and testing

API data uploads (premium plans)

Automatic learning of normal sensor behavior

Use Cases

Predictive maintenance for industrial machinery

Monitoring sensor data for unusual patterns

Detecting fraud from numerical datasets

Analyzing web server access logs for anomalies

Best For

Operations managersIT professionalsSecurity analystsData scientistsMaintenance engineers

Pros

API integration for automated data uploads on paid plans

Free model creation and anomaly scoring

Supports both wide and long CSV formats

Advanced features available with premium plans

User-friendly interface requiring no AI expertise

Cons

Plan-based limitations on data storage and features

Monthly pricing may fluctuate with exchange rates

Model accuracy depends on training data quality

Free plan restricts data size, upload frequency, and features

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free

Free of charge

One model per account with manual data uploads. Limited to 10 sensor data files and 10 uploads daily. Each upload supports up to 1MB and over 2,500 hours of data. Score data stored for 6 months. No team management features available. Basic usage limitations apply.

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Light

$14/month or approximately $136/year ($12/month)

Upload test data via API, receive email alerts, support for 10 sensors, up to 10 uploads daily, 1MB per upload, over 2,500 hours of data, 6 months of score storage, with 3 team members. Weekly summaries and detailed reports are not included.

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Standard

$35/month or approximately $341/year ($29/month)

API-based test data uploads, email alerts, support for 50 sensors, unlimited uploads, 20MB per upload, 5,000 hours of data per upload, one year of score storage, up to 10 users, weekly summaries available, but detailed reports are not included.

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Business

$55/month or approximately $546/year ($46/month)

Unlimited data uploads via API, email notifications, support for 100 sensors, each upload up to 100MB, over 10,000 hours of data, three years of score storage, unlimited team members, weekly summaries, and comprehensive anomaly reports.

Get Started

Frequently Asked Questions

Find answers to common questions about LotusEye

What types of sensor data are compatible?

We support wide-format CSV files, where each row shows sensor readings at a timestamp, and long-format CSV files with 'Timestamp,' 'Sensor Name,' and 'Sensor Value' columns.

How do I upload sensor data?

Upload CSV files through the interface by selecting or dragging them. Users on the Light plan and above can also upload data via API.

When does the anomaly score become high, and how reliable is it?

Anomaly scores rise when test data deviates from learned normal patterns. Model accuracy depends on training data quality. We recommend training with both normal and abnormal data using the free plan first.

How often are anomaly scores calculated?

Scores are computed hourly. If data timestamps are closer than an hour, values are averaged over each hour before scoring.

Can I use non-sensor numerical data for detection?

Yes, any CSV-formatted numerical data, such as web logs or system outputs, can be used to develop anomaly detection models.

What payment options are available?

We accept credit card payments via Stripe.

Where can I find detailed usage instructions?

Please refer to the User Manual for comprehensive guidance on operating LotusEye.