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Description
Alert Labs has developed an advanced water intelligence platform powered by AI known as AlertAQ, which specializes in commercial leak detection and offers comprehensive insights into water consumption, leak identification, environmental conditions, and unusual water usage across buildings and portfolios. This innovative system utilizes scalable IoT water sensors to monitor and analyze data for detecting surges, ongoing leaks, and abnormal consumption patterns. Additionally, it provides round-the-clock notifications through phone calls, SMS, email, or app alerts whenever any issues arise, while also automatically recording essential event details such as location, time, duration, and severity to facilitate swift responses. AlertAQ consolidates water monitoring management for all properties into a single, user-friendly dashboard, featuring interactive floor plans and automated performance reports that allow users to track water usage trends over time. Moreover, it incorporates functionalities like remote and scheduled water shut-off controls, ensuring prompt action to mitigate leaks. The system operates using a secure, independent cellular connection and is equipped with battery-powered sensors that function without dependence on Wi-Fi, enhancing reliability and flexibility for users in various environments. This comprehensive approach not only improves operational efficiency but also supports sustainability efforts by minimizing water waste.
Description
EnergyFlow Monitor provides real-time tracking of your building's energy consumption—including electricity, gas, steam, oil—and water usage at a highly detailed level, allowing for adjustments based on occupancy trends. Furthermore, it sends instant alerts whenever peak demand levels are reached, ensuring you stay informed. Research has repeatedly demonstrated that the most effective method for reducing energy and water usage is to clearly present individuals with their consumption data. With EnergyFlow Monitor, our clients have experienced an average savings of 15% in both energy and water. The platform offers insightful graphics, analysis-driven text and email notifications, comprehensive reporting, and versatile data export options, equipping you with actionable insights rather than just raw data. This empowers you to make informed decisions that enhance sustainability and operational efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alert Labs
Founded
2015
Country
Canada
Website
www.alertlabs.com
Vendor Details
Company Name
Noveda Technologies
Website
www.noveda.com
Product Features
Sustainability
Audit Management
No
Benchmarking
No
Compliance Management
No
Corrective Actions (CAPA)
No
Emissions Management
No
Employee Training
No
Energy Management
No
Incident Management
No
KPIs
No
Performance Metrics
No
Stakeholder Engagement
No
Supplier Management
No
Waste Management
No
Product Features
Energy Management
Benchmarking
Yes
Bill Audit
No
Bill Database
No
Bill Importing
No
Budgeting & Forecasting
No
Compliance Management
No
Contract Management
No
Cost / Use Reporting
Yes
Emissions Monitoring
No
Energy Price Analysis
Yes
Facility Scheduling
Yes
Greenhouse Gas Tracking
No
Load Control
No
Load Forecasting
No
Meter Tracking
Yes
Risk Management
No
Weather Normalization
Yes
