Last updated: Aug 12, 2025
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Overview
Lotuseye is an industrial AI platform for real-time sensor data monitoring and anomaly detection. It uses machine learning to identify irregularities in IoT data streams, enabling predictive maintenance and reducing downtime for manufacturing and infrastructure.
Key Features
✦ Real-Time Monitoring: Analyze sensor streams continuously for immediate anomaly detection.
✦ Custom Thresholds & Alerts: Define rules and get notifications via email or SMS.
✦ Predictive Maintenance: Forecast equipment failures before they happen.
✦ Dashboard & Reporting: Visualize metrics and trends in an interactive console.
✦ Integrations: Connect with SCADA, PLCs, and cloud data sources.
Advantages
🟩 Reduced Downtime: Catch issues early to minimize production halts.
🟩 Cost Savings: Optimize maintenance schedules and extend equipment life.
🟩 Scalable Architecture: Handles large volumes of IoT data across multiple sites.
🟩 User-Friendly Console: Accessible to engineers and operators.
🟩 Customizable Alerts: Tailor notifications to team workflows.
Limitations
🟥 Integration Setup: Requires technical effort to connect legacy systems.
🟥 Data Privacy: On-premise option unavailable; cloud-only.
🟥 Learning Curve: Fine-tuning models demands domain expertise.
🟥 Costly at Scale: Enterprise pricing can be high for large deployments.
🟥 Limited Analytics: Advanced statistical tools may require export to external BI.
Use Cases
➤ Manufacturing Lines: Monitor motor vibrations to predict failures.
➤ Energy Infrastructure: Detect irregularities in power grid sensors for proactive repair.
➤ Automotive Testing: Track real-world vehicle sensor data for R&D insights.
➤ Food & Beverage Processing: Ensure consistent quality by monitoring temperature and humidity.
➤ Building Automation: Identify HVAC anomalies and optimize energy usage.
Pricing Details
LotusEye is an AI-powered anomaly detection platform for sensor data, enabling automatic detection of irregular patterns in industrial operations.
⭘ Free ($0/month): Model creation through manual upload, anomaly score check via manual upload, max 1,000 rows per file, up to 10 MB storage, store 1 model, up to 3 users, anomalies detected upon score, adding management members not allowed, usage limitations on various features.
⭘ Light (~$14/month): Everything in Free plus test data upload via web API, max 1,000 rows per file, up to 10 MB storage, store 1 model, up to 3 users, max 5,000 rows per month, no anomaly analysis report.
⭘ Standard (~$34/month): Everything in Light plus max 1,000 rows per file, up to 100 MB storage, store up to 10 models, up to 10 users, max 300,000 rows per month, anomaly analysis report available.
⭘ Business (~$55/month): Everything in Standard plus max 1,000 rows per file, up to 1 GB storage, store unlimited models, unlimited users, max 1,000,000 rows per month, anomaly analysis report available.
(All pricing in USD equivalent; amounts approximate based on Japanese Yen conversion. Data verified from lotuseye.co.jp/en as of August 11, 2025.)
Summary
Lotuseye uses AI to monitor IoT sensor data in real time, forecasting anomalies and optimizing maintenance workflows.
Released Dates
2023
Sep – Lotuseye launched public beta focusing on manufacturing use cases.
2024
Apr – Introduced predictive maintenance algorithms and expanded cloud integrations.
