Veea^® has unified computing, communications, edge storage and cybersecurity solutions through fully integrated cloud- and edge-managed products. Veea’s pioneering Multiaccess Edge Computing (MEC) product, developed from the ground up in several compact form factors, brings together the functionality typically provided for through any combination of servers, Network Attached Storage (NAS) devices, routers, firewalls, Wi-Fi APs, IoT gateways, 4G or 5G wireless access, and Cloud Computing by means of multiple hardware, software and systems integrated and maintained by IT/OT professionals.

Compute

VeeaHubs are engineered with advanced quad-core CPUs, offering a robust computing environment. Their Linux software platform supports multiple applications, enabling virtualized environments for diverse operational needs.

Connect

Ensure comprehensive device connectivity, supporting Wi-Fi, Bluetooth, Zigbee, Matter, and Thread. Optional LoRaWAN and 4G/5G support expand the network's reach, while vMesh technology allows for scalable and efficient network expansion.

Secure

The Veea Platform is designed with security at its core, adhering to the highest industry standards. It offers customizable options to best meet specific needs and robust protections against emerging digital threats.

Veea Edge Platform is a cloud-managed full-stack platform designed to manage multi-vendor heterogeneous devices with a Linux server hosting VeeaWare stack to enable compute capabilities with any combination of GPUs, TPUs, and NPUs on a networking and computing mesh. VeeaHub products are hyperconverged, multi-access and multi-protocol devices that provide for control plane management of heterogeneous devices on any vMesh cluster. Our leading-edge solution delivers seamless connectivity across diverse network environments with Network Function Virtualization (NFV) and advanced Software Defined Networking (SDN). Veea Edge Platform™ enables direct connections, from the wide area optical fiber, 4G or 5G cellular and satellite networks to devices on the local area networks created by a VeeaHub® mesh cluster over network-managed Wi-Fi and IoT devices, through a unique patented capability called Multi-protocol Private Network Slicing (MPNS) for ISPs to offer subscription-based services for one or a group of endpoints.

AI-driven cybersecurity and Zero Trust Network Access (ZTNA) provide for a highly simplified Secure Access Service Edge (SASE). Its integrated compute and storage support a virtualized software environment enabling cloud-native applications to run in Secured Docker™ containers. Veea Edge Platform provides for end-to-end cloud management of devices, applications and services. Veea Developer Portal and development tools provide for rapid development of edge applications. The combined capabilities with AI-driven intelligence enables unparalleled scalability, security, and operational efficiency for enterprises, IoT ecosystems, and next-gen AI applications.

For enterprise applications, such as Smart Manufacturing, Smart Warehouses, Smart Hospitals, Smart Schools, Smart Construction, Smart Infrastructure, and many others, Veea Edge Platform™ collects and processes the raw data at the Device Edge, where user devices, sensors and machines connect to the network, most importantly, for reasons of low-latency, data privacy and data sovereignty. VeeaWare^® full stack software running on VeeaHub^® devices and on third-party hardware solutions with GPUs, TPUs or NPUs, such as NVIDIA AGX Orin and Qualcomm Edge AI Box-based hardware on a Veea computing mesh, provide for the full gamut of AI inferencing with cloud-native edge applications and AI-driven cybersecurity with bespoken Agentic AI and AIoT for the specific use cases. Combined with its VeeaCloud management functions, AIoT platform and extension of network slicing through the LAN with SDN and NFV, Veea Edge Platform offers an unrivaled capability for AI inferencing for enterprise use cases at the edge.

Responsiveness

Edge computing enables millisecond-level real-time decision-making, crucial for systems like manufacturing controls, autonomous vehicles, and AR/VR. Unlike centralized clouds, which may face latency issues, our edge solutions ensure optimal responsiveness without congestion or scaling challenges.

Bandwidth Usage

Our platform processes data at its source, significantly reducing bandwidth costs and infrastructure buildout needs. This approach allows for the efficient transfer of only relevant data to centralized systems, resulting in substantial cost savings.

Storage Costs

While storage costs might be low, the exponential growth of data volume presents challenges. Our edge computing solution efficiently processes data in real-time, close to its source, turning it into actionable insights, thus addressing storage and data overload issues effectively.

Our suite of technologies - VeeaWare, vMesh, vBus, and management tools like the Veea Control Center and VeeaHub Manager - work in synergy to revolutionize edge computing. Each element plays a critical role, from software foundations and network connectivity to device integration and network management, ensuring a seamless, efficient, and secure edge computing experience.

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