
ManageEngine Endpoint Central is a unified endpoint management and security platform designed for IT teams managing diverse and distributed device environments eliminating the need for multiple disconnected products for patching, remote access, mobile management, and security.
The platform supports Windows, macOS, Linux, iOS, Android, and Chrome OS. Automated patch deployment covers OS and 1,000+ third-party applications with scheduling, testing, rollback, and compliance reporting.
Software can be deployed, updated, or removed across thousands of endpoints simultaneously.
OS imaging workflows provision new devices quickly, while continuous asset inventory supports license compliance and audit readiness.
Security capabilities are built directly into the platform.
Vulnerability assessment identifies and prioritizes endpoint weaknesses by severity.
Application control prevents unauthorized software execution.
Device control governs USB and peripheral access.
Endpoint privilege management removes unnecessary admin rights.
EDR delivers behavioral threat detection and incident response, while NGAV blocks malware, ransomware, and zero-day threats.
BitLocker and FileVault encryption enforces disk protection across Windows and macOS.
Built-in remote desktop allows technicians to connect instantly without third-party software.
Integrated MDM covers iOS and Android enrollment, app management, and remote wipe for corporate and BYOD environments.
DEX monitoring gives IT teams real-time visibility into device performance enabling proactive issue resolution before productivity is impacted.
Available as cloud or on-premises across Free, Professional, Enterprise, UEM, and Security editions.
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TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams.
TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be.
TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University.
Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers.
We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?
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Golioth
Golioth IoT cloud platform is the leading IoT development platform that enables modern engineering teams to quickly prototype and manage fleets of IoT devices.
We put hardware at the center of your CI/CD process. With a unified API and device firmware SDK, plus a strong IoT ecosystem Golioth helps engineers easily build, integrate, and manage IoT solutions–without the stress.
The only IoT cloud solution built for your entire team: from your hardware engineers to firmware developers, from cloud to data teams.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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