LotusEye

LotusEye is an AI anomaly detection tool that automatically learns normal behavior from sensor data and alerts users to anomalies. It is easy to use, requiring no AI knowledge, and offers free model creation.

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At a glance

Pricing

Freemium

Free tier

Yes

API

Yes

Skill level

Mixed

About

What is LotusEye?

LotusEye is an AI anomaly detection tool designed to help users identify unusual behavior in various data streams, primarily sensor data. The platform automatically learns normal operational patterns from diverse sensor data, and when deviations occur, it immediately raises an alert. It is built for ease of use, requiring no prior AI knowledge, allowing anyone to create AI models simply by uploading data. Users can create models and calculate anomaly scores for free, enabling them to confirm the tool's effectiveness before committing to a paid plan. LotusEye supports both wide-format and long-format CSV files for data upload, and offers features like email notifications and API data uploads for higher-tier plans. It can be used for any numerical data in CSV format, not just sensor data.

Best used for

Ideal for data scientists and product managers who need to monitor sensor data for anomalies, detect early signs of equipment malfunction, and analyze various numerical data for unusual patterns. Especially valuable for those seeking an easy-to-use solution with free model creation to validate effectiveness before subscribing.

Common actions

detect anomalies

monitor sensor data

predict equipment failure

analyze numerical data

Capabilities

Key features

Automatic anomaly detection
Free AI model creation
CSV data upload
API data upload
Email notifications
Hourly anomaly score calculation

Target Audience

data scientistproduct managerstartup founderdeveloper

Integrations

Not yet documented

Pricing & Plans

Freemium

Not publicly disclosed. Check lotuseye.co.jp for current pricing.

FAQs

What types of data can LotusEye use for anomaly detection?

LotusEye primarily supports sensor data in wide-format or long-format CSV files. However, it can also be used with any numerical data in CSV format, such as output from the sar command or web server access logs, by converting them into the supported CSV formats.

How frequently does LotusEye calculate anomaly scores?

Anomaly scores are calculated on an hourly basis. If your sensor data has intervals shorter than one hour, the data will be averaged over each hour before the score calculation. For quicker detection of early signs of anomalies, it's recommended to upload data hourly via API.

Can I test LotusEye's effectiveness before paying?

Yes, LotusEye offers free model creation and anomaly score calculation. This allows you to upload both normal and abnormal data to create a model and assess its accuracy in detecting anomalies and its false positive rate before deciding to transition to a paid plan.

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