Edgecore and Synaptics launch scalable AIoT platforms through a strategic collaboration aimed at accelerating cloud-connected, intelligent edge deployments that combine open networking expertise with advanced embedded AI processing. The partnership will spotlight a next-generation AIoT Edge Hub at CES 2026, showcasing how scalable Edge AI and Industrial IoT (AIoT) systems can support real-world operational environments.
By blending Edgecore’s strength in open infrastructure and networking solutions with Synaptics’ advanced Edge AI processing, multimodal sensing and connectivity technologies, the joint platform is designed to enable scalable AIoT deployment across property management, retail, commercial spaces and other verticals requiring low-latency and robust connectivity.
A Strategic Partnership Focused on Intelligent Edge Innovation
The collaboration between Edgecore and Synaptics brings together complementary areas of expertise that are critical for modern AIoT deployments. Edgecore is widely known for its leadership in open networking and infrastructure solutions, while Synaptics provides advanced embedded processing, multimodal sensing, and connectivity technologies optimized for edge intelligence.
Together, the companies are building a platform that bridges the gap between distributed edge devices and centralized cloud services. The goal is to simplify the deployment of intelligent edge systems while maintaining scalability, interoperability, and strong performance across diverse environments.
As organizations increasingly adopt IoT and AI-driven solutions, the need for platforms that can scale efficiently without sacrificing reliability or responsiveness has become a top priority. This partnership is positioned to address those challenges head-on.
Introducing the AIoT Edge Hub
At the core of the collaboration is the AIoT Edge Hub, a modular platform designed to act as an intelligent intermediary between edge devices and the cloud. The hub aggregates data from sensors, cameras, and connected devices, processes it locally using embedded AI, and securely transmits relevant insights to cloud platforms for further analysis and management.
By performing key processing tasks at the edge, the AIoT Edge Hub reduces latency, minimizes bandwidth usage, and enables real-time responses that are essential for mission-critical applications.
This architecture supports a wide range of AIoT scenarios, including remote monitoring, automation, predictive maintenance, and intelligent environmental sensing.
Advanced Embedded Processing for Edge Intelligence
A key component of the AIoT Edge Hub is Synaptics’ Astra™ SL1620 embedded IoT processor. Designed specifically for edge applications, the processor delivers efficient AI inference and context-aware intelligence within compact, power-efficient systems.
The embedded processing capabilities allow the platform to analyze data locally, enabling functions such as object recognition, anomaly detection, behavioral analysis, and sensor fusion without relying on constant cloud connectivity. This approach not only improves responsiveness but also enhances data privacy and operational reliability.
By integrating advanced AI processing directly into the edge infrastructure, the platform empowers organizations to deploy intelligent systems in environments where real-time decision-making is critical.
Multi-Protocol Connectivity for Diverse IoT Environments
Connectivity is a cornerstone of scalable AIoT deployments, and the Edgecore–Synaptics platform is designed to support a wide range of communication standards. The AIoT Edge Hub incorporates a triple-combo wireless stack that includes Wi-Fi, Bluetooth/BLE, and Thread/Zigbee, enabling seamless communication with diverse IoT devices.
In addition, the platform supports Wi-Fi HaLow, which offers extended-range, low-power connectivity ideal for large-scale deployments such as industrial facilities, campuses, warehouses, and smart buildings. This flexibility allows organizations to connect devices across varying distances and power constraints while maintaining reliable performance.
By supporting multiple protocols within a single platform, the AIoT Edge Hub simplifies network architecture and reduces the complexity typically associated with heterogeneous IoT environments.
Cloud Integration and Centralized Management
While edge intelligence is a defining feature of the platform, cloud integration remains essential for scalability and lifecycle management. The AIoT Edge Hub is designed to integrate seamlessly with major cloud platforms, including AWS IoT Device Management.
This cloud connectivity enables centralized device onboarding, configuration, monitoring, and updates across distributed deployments. Organizations can manage fleets of edge devices from a single interface, improving operational efficiency and reducing maintenance overhead.
Secure cloud integration also supports data aggregation, long-term analytics, and system optimization, ensuring that edge intelligence complements rather than replaces cloud-based capabilities.
Designed for Real-World Operational Demands
The AIoT Edge Hub is built to function as an intelligent layer between edge devices and cloud services, supporting advanced features that are critical for real-world applications. These include remote video streaming, sensor data acquisition, device orchestration, and event-driven automation across distributed environments.
Such capabilities are particularly valuable in scenarios where real-time visibility and control are essential. For example, in property management and commercial spaces, the platform can enable intelligent monitoring of occupancy, energy usage, and security conditions. In industrial environments, it can support equipment monitoring, safety systems, and predictive maintenance workflows.
The platform’s flexibility makes it suitable for a wide range of deployment scenarios, from small-scale pilots to large, multi-site implementations.
Why This Collaboration Is Significant
The partnership between Edgecore and Synaptics addresses several key challenges facing modern AIoT deployments. As organizations scale their IoT initiatives, they require platforms that are not only powerful but also interoperable, secure, and future-ready.
One of the most important aspects of the collaboration is its emphasis on open and interoperable technology. By leveraging open networking principles and industry-standard protocols, the platform reduces vendor lock-in and enables easier integration with existing systems.
The combination of reduced latency through edge AI processing and robust connectivity allows organizations to perform critical analytics and automation tasks closer to the source of data. This is particularly important in environments where delays or connectivity disruptions could have significant operational consequences.
Broad Range of Use Cases Across Industries
The scalable nature of the AIoT platform makes it applicable to a wide array of industries and use cases. In retail environments, the platform can support intelligent video analytics, customer flow analysis, and inventory monitoring. In enterprise facilities, it can enable smart building systems that optimize energy usage, security, and occupant comfort.
Industrial and manufacturing environments can benefit from real-time equipment monitoring, anomaly detection, and automation, while logistics and warehousing operations can leverage extended-range connectivity and edge intelligence to improve asset tracking and operational efficiency.
By addressing these diverse scenarios, Edgecore and Synaptics are positioning their joint platform as a versatile foundation for next-generation AIoT solutions.
CES 2026 Debut and Industry Visibility
Edgecore and Synaptics plan to showcase the AIoT Edge Hub at CES 2026 during Synaptics’ private technology showcase. The demonstration will highlight how scalable, cloud-connected edge intelligence can be deployed in practical, real-world settings.
CES serves as a global stage for emerging technologies, and the platform’s debut at the event underscores its relevance to broader industry trends. The showcase is expected to demonstrate how edge AI, combined with robust connectivity and cloud integration, can unlock new levels of productivity and automation.
By presenting the solution at CES, the companies aim to engage with technology partners, system integrators, and enterprise customers interested in deploying intelligent edge solutions.
Aligning With Broader AIoT and Edge AI Trends
The launch of this platform aligns with several major trends shaping the future of enterprise technology. As data volumes continue to grow and real-time responsiveness becomes more critical, organizations are increasingly adopting edge computing architectures.
AIoT represents the convergence of artificial intelligence and IoT, enabling systems that not only collect data but also analyze and act on it autonomously. Edge AI plays a crucial role in this evolution by bringing intelligence closer to devices and users.
The Edgecore–Synaptics collaboration reflects this shift toward distributed intelligence, where edge and cloud resources work together to deliver scalable, resilient, and intelligent systems.
Looking Ahead: The Future of Scalable AIoT Platforms
As AIoT and edge AI technologies continue to mature, platforms like the AIoT Edge Hub are expected to play a central role in enabling next-generation applications. Future developments may include deeper AI integration, expanded ecosystem partnerships, and support for emerging connectivity standards.
Collaborations between infrastructure providers and semiconductor and AI specialists are likely to become increasingly common, as no single company can address the full complexity of modern edge deployments alone.
By combining open networking expertise with advanced embedded AI processing, Edgecore and Synaptics are positioning themselves at the forefront of this evolving landscape.
Conclusion
The launch of scalable AIoT platforms by Edgecore and Synaptics marks an important step forward in the evolution of intelligent edge computing. Through their strategic collaboration, the companies are delivering a next-generation AIoT Edge Hub that integrates advanced edge AI processing, multi-protocol connectivity, and seamless cloud management.
Set to be showcased at CES 2026, the platform demonstrates how distributed intelligence, robust connectivity, and open infrastructure can come together to support real-world AIoT deployments across multiple industries. As organizations seek faster insights, greater automation, and more resilient systems, solutions like this are poised to play a critical role in shaping the future of connected, intelligent environments.
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