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Average Ratings 0 Ratings
Description
Aquarius™ is the trusted solution for water monitoring agencies globally, enabling the real-time acquisition, processing, modeling, and dissemination of water data. By standardizing various data types, you can enhance the value of your current investments, third-party sensors, or existing systems for effective management, qualification, and analysis. The platform allows for straightforward visualization, scanning, and quality assurance with advanced rating curves, automated error detection, and user-friendly correction tools that facilitate comparisons of historical time series or discrete datasets, all while maintaining a reliable audit trail. Its robust charting capabilities and contextual visualization tools enable both technical and non-technical stakeholders to make swift decisions based on real-time insights. Designed for simplicity, it integrates cutting-edge science and methodologies within an intuitive interface, allowing users to perform intricate calculations effortlessly. Furthermore, environmental data from diverse sources is securely consolidated for quick central access, making it easy to correct and quality-check data, develop improved rating curves, and generate essential statistics for better resource management. This comprehensive approach not only enhances data accuracy but also fosters a deeper understanding of water quality and availability challenges.
Description
LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.
API Access
Has API
API Access
Has API
Integrations
Google Sheets
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$13 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Aquatic Informatics
Country
Canada
Website
aquaticinformatics.com/products/aquarius-environmental-water-data-management/
Vendor Details
Company Name
LotusEye
Country
Japan
Website
lotuseye.co.jp/