Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Integrations
Google Sheets
No
Microsoft Excel
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$13 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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/