What is LotusEye?

LotusEye is an AI anomaly detection platform that learns normal behavior from uploaded sensor data and flags deviations with hourly anomaly scores. It accepts both wide‑ and long‑format CSV files containing numeric time series and can ingest data through the web interface or API, enabling scheduled uploads.

The tool automatically generates scores, displays them in an interactive dashboard, and can trigger email alerts when scores exceed a set threshold. Multiple team members can be added to collaborate on model creation and data review. The system requires no prior AI knowledge, allowing users to deploy anomaly detection by simply uploading data.

LotusEye pricing Subscription

Light $13/mo approx. $124/year（ $11/mo ）approx.

Standard $32/mo approx. $312/year（ $26/mo ）approx.

Business $51/mo approx. $500/year（ $42/mo ）approx.

Verify on the official pricing page.

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LotusEye's key features

Learns normal patterns automatically
Detects anomalies and alerts
Create models via CSV uploads
Supports wide and long CSVs
Upload data via API or UI
Hourly anomaly scoring
Email notifications for alerts

LotusEye use cases

Automatically detect and alert on abnormal temperature spikes in manufacturing equipment by ingesting hourly sensor CSVs, visualizing trends in LotusEye's dashboard, and sending real‑time email notifications to maintenance teams, all without any machine learning coding.
Enable cross‑department monitoring of water quality sensors across multiple plants by integrating LotusEye via API, scoring hourly readings for outliers, and collaborating through shared dashboards so that environmental, safety, and operations teams can quickly identify and respond to anomalies.
Streamline predictive maintenance for a fleet of delivery vehicles by ingesting telematics CSV data into LotusEye, scoring hourly engine performance metrics, and generating automated alerts that are forwarded to fleet managers, while team members annotate anomalies directly in the interactive dashboard for continuous improvement.