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What is HiveWatch?

HiveWatch stands out as a state-of-the-art physical security solution that harnesses the power of artificial intelligence to unify a range of security systems, such as access control, video surveillance, and guard operations, into a single, cloud-based command center that transforms security from a reactive model to a proactive strategy. Featuring an advanced rules engine, the platform allows users to tailor alarm responses according to various factors, including time, location, and frequency, while integrating standardized operating procedures to guide operators in their reactions. By employing machine learning techniques, HiveWatch effectively reduces false alarms and escalates genuine threats to human supervisors via its AI Operator module, and also automates the identification of tailgating scenarios. The platform streamlines the management of multiple locations, monitors the health of devices, manages incident case files, and tracks performance indicators such as resolution times and incident totals for executive review. Field teams enjoy swift access to incident-related data and site visuals, can report manual incidents with photographic proof, conduct guard patrols, and maintain continuous communication and coordination throughout their activities. Additionally, the system significantly boosts security efficiency and accelerates response times, ultimately making it a crucial asset for contemporary security management in a fast-evolving world. As security challenges grow increasingly complex, HiveWatch's innovative features position it as a leader in the industry.

What is False Alarm Billing and Tracking?

EnablePoint provides a wide range of alarm management solutions and software designed specifically for municipalities such as cities, counties, and villages. Our primary goal is to tailor our services to meet the unique needs of our clients, guaranteeing that we supply only the essential software and services at affordable rates that accommodate current budgetary challenges. The FAB system is equipped with features that allow for the direct importation of false alarm incidents from your Computer Aided Dispatch (CAD) system, management of permit registrations, automatic calculations of false alarm fees in accordance with local ordinances, and the capability for batch printing invoices and warning letters, along with comprehensive payment and accounts receivable processing. In addition, OARS functions as an online alarm registration platform that seamlessly integrates with FAB, providing a custom online application that closely mirrors the paper permit or registration forms required by your jurisdiction. Moreover, our WEBFAB product serves as a browser-based, unlimited license read-only version of FAB, enabling users to access data for review without making any modifications. This extensive suite of services is designed to enhance the efficiency and effectiveness of your alarm management operations, ensuring they are closely aligned with your organizational requirements. Ultimately, our commitment to innovation and client satisfaction sets us apart in the industry.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

HiveWatch

Date Founded

2020

Company Location

United States

Company Website

hivewatch.com

Company Facts

Organization Name

EnablePoint

Company Website

www.falsealarmsoftware.com

Categories and Features

Physical Security

Not specified

Categories and Features

Law Enforcement

Certification Management
Court Management Integration
Incident Mapping

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