Create Actionable Insights from Video and Sensor Data
Most integrated devices and Internet of Things (IOT) datasets are not analyzed, creating large repositories of dark data. ePlus Realwave is an AI-powered Video Management System (VMS) and Analytics Platform that unifies video feeds, smart sensors, digital locks, and enterprise systems into one intelligent platform.
HOW ePLUS CAN HELP
Deliver unified visibility, analytics and control
Key Realwave Capabilities: The Realwave platform leverages connected intelligent devices, cameras, appliances, and sensor data across the enterprise. It applies AI, computer vision, and deep learning models for real-time event monitoring, unusual behavior alerts, and automated alert triggers and responses—helping you improve safety, compliance, and operational decision making. Read the digital brochure.
Unified Video and Sensor Platform: Integrates video feeds, access control (digital locks), and data such as POS terminals and LiDAR sensors into one intelligent layer
AI-Driven Insights: Uses advanced computer vision and machine learning to detect anomalies, behavioral patterns, and trends across the enterprise
Out-of-the-Box Integrations: Pre-built connectors with digital lock systems, point of sale (POS) devices, light detection and ranging (LiDAR), and other smart devices enable instant interoperability and faster deployments
Scalable, Secure Architecture: Supports edge, on-prem, and hybrid environments with full encryption, role-based access control (RBAC), and policy-based governance
Extensible Framework: Allows integration of third-party analytics and AI models for vertical-specific use cases, cloud archiving, and enterprise reporting
How AI analytics can help you make smarter, data-driven decisions
Realwave can help organizations across multiple industry verticals accelerate response, reduce risk, and drive revenue, delivering real results:
Enhance physical security and monitoring
Improve operational efficiency
Prevent loss, theft, and fraud
Optimize the in-person and on-site customer experience
Maximize space utilization and revenue potential
Proactively identify and mitigate safety risk
WHY ePLUS
Our Unique Differentiators
Purpose-Built for Intelligence at the Edge
Purpose-Built for Intelligence at the Edge
Realwave brings real-time situational awareness to physical environments by running AI and computer vision at the edge. It unifies video, digital locks, access control, POS systems, LiDAR, and other sensors into one intelligent ecosystem.
Continuous Time-Based Insights
Continuous Time-Based Insights
Realwave continuously mines, learns, and adapts to deliver practical insights from the past (identifying trends), in the present (detecting anomalies), and for the future (refining AI models).
Cross-Vertical Expertise
Cross-Vertical Expertise
ePlus has experience supporting organizations across nearly every industry. This nuanced insight enables us to apply Realwave to a variety of verticals including retail, transportation, smart cities, logistics, manufacturing, campus environments, and more.
ePlus Principal Security Consultant, Jes Gonzalez, was heavily featured in a recent article on Tech Target. The article covers how unreliable data can undercut AI efforts before they deliver meaningful returns.
In Part 2 of our discussion on Change Management in the Age of AI, we continue the discussion around AI features included within healthcare software updates and how that impacts risk management strategies.
ePlus has helped organizations across manufacturing, distribution, technology, healthcare, and the public sector move from AI curiosity to AI maturity in production. Through these experiences, we’ve noticed something more useful than any single project outcome: the questions themselves have gotten more ambitious, and more complex.
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As AI, cybersecurity threats, and market disruptions reshape IT, organizations must rethink outdated roadmaps and prioritize technology investments that drive real business outcomes. Read how strategic assessments can help you move forward in an uncertain world.
Author NameDavid Guilinger
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