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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
Connect your app to users’ real-time data from 300+ devices via a single API. Make that data usable with our white-label AI/ML services. One API with access to all the major wearable and IoT providers. Start testing right away with our easy-to-implement and well-documented API and shorten your development cycles. Enhance the functionality and UX of your application. Deliver personalized insights and increase user retention. Access wearables data in both raw and structured/normalized format while we maintain provider API upgrades, monitor new sensor releases, and API version control so that you don’t have to. Connect to Spike from any platform of your choice with as little as a few lines of code. Receive data that makes sense in an easily digestible format. Leave all that boilerplate management to us and concentrate on building value for your users. Spike technology, REST API end-points, and cloud architecture are designed with data privacy and security at heart.
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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
Companies and users looking for an API solution for health and fitness data for wearables and IoT devices
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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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Screenshots and Videos |
Screenshots and Videos |
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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 InformationSpike
United States
spikeapi.com
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Categories |
Categories |
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Integrations
Android
Apple Podcasts
CX-Programmer
Flutter
GitHub
Google Cloud Platform
Google Sheets
Headspace for Work
Kotlin
Lumen Cloud
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Integrations
Android
Apple Podcasts
CX-Programmer
Flutter
GitHub
Google Cloud Platform
Google Sheets
Headspace for Work
Kotlin
Lumen Cloud
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