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About
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.
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About
In the process industry where everything is connected to everything, and there are very few historical events, you never know where the next failure will show up. We monitor everything. Our software detects quality issues, failures in rotating and static equipment, deviations in operation modes, and process behavior. Don’t waste time on hundreds of false alarms. Instead of hundreds of anomalies a day, we produce up to five actionable alerts a day. Get notified of a failure a week to 24 hours in advance. No more surprises in the middle of the night. Planned, proactive maintenance saves money. Industrial assets require a different approach. We automatically combine your experts’ knowledge with machine learning to achieve a unique predictive monitoring solution. Your sensors and data already exist. It takes only two weeks for your process engineer to specify the plant’s structure and behavior, and the software is up and running!
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Data engineers, operations teams, and analysts wanting anomaly detection on time-series or numerical sensor data to flag abnormal behavior and monitor systems without building models manually
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Audience
Enterprises and companies seeking a solution to manage failure detection through machine learning and statistics
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
$13 per month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLotusEye
Japan
lotuseye.co.jp/
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Company InformationPreCognize
United States
www.precog.co
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Categories |
Categories |
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Maintenance Management Features
Asset Tracking
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management
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