Veea Announces the VeeaONE Distributed Intelligence Platform, Enabling Cybersecure Sovereign Data Fabrics and Enterprise AI Grids for Physical AI

Veea Inc. (NASDAQ: VEEA) ("Veea"), a pioneer in AI-powered, cybersecure distributed intelligence on hyperconverged edge infrastructure, today announced the commercial availability of its full-stack, edge-to-cloud hardware and software solution for a broad range of third-party devices and servers. The release comprises Veea middleware (VeeaWare ® ) on Secured Docker™, the VeeaHub ® Toolkit (VHT) and the Veea Developer Portal ( https://docs.veeaone.com/ ) — key enabling components of the VeeaONE ® platform for enterprise AI grids, cybersecure sovereign data fabrics, and physical-world agentic AI. VeeaWare’s portable middleware now runs on the NVIDIA Jetson family and on x86- and Arm-based Linux servers, with or without accelerated compute (e.g., GPUs, NPUs, TPUs and DPUs), enabling VeeaCloud™-managed hyperconverged, heterogeneous mesh clusters whose orchestration scales to thousands of connected systems of intelligence. The result is a solution that enables physical AI for infrastructure, enterprises, robotics and machines — sovereign at the source and intelligent at scale. With this release, every VeeaONE deployment can optionally include AI acceleration with agentic AI — provisioned, secured and managed from VeeaCloud like every other element of the platform. Certified third-party hardware joins VeeaHub edge nodes in a single vMesh ® computing and communications fabric, turning each customer site into what industry analysts have begun calling a micro AI factory: a hyperconverged node that connects, secures, stores and reasons over data where it is created. Where others move sovereign data to AI, VeeaONE brings AI to sovereign data. The first waves of networking connected devices; later waves connected applications, then data. The AI era connects intelligence itself — transforming every physical location into a node in a system of intelligence. VeeaONE is the AI-native infrastructure platform built for that era, converging secure connectivity, cybersecurity, edge computing, physical sensing and autonomous operations into a single distributed intelligence platform. Instead of managing networks, organizations manage intelligent business locations. Instead of deploying point products, they deploy an expandable, fully cloud-managed platform that continuously senses, protects, learns and orchestrates operations at one site or across thousands. For multi-site enterprise edge deployments, VeeaCloud-managed hyperconverged edge clusters interconnect to form a sovereign AI grid — a distributed network of micro AI factories in which VeeaONE nodes collect and secure data on-premises and run real-time inference at the point of data creation, while near-prem facilities handle data management, heavier inference and model fine-tuning. Sovereign data never leaves the owner’s jurisdiction or control; sovereignty remains anchored where the data was born. The grid doesn’t add sovereignty as a feature — it inherits it by design. The announcement comes as AI infrastructure spreads outward from centralized data centers. Speaking from Mobile World Congress in March 2026, theCUBE Research analysts Dave Vellante and John Furrier described the next wave of AI value being created by distributed "mini AI factories" operating at the edge — in stores, clinics, hospitals, warehouses and campuses — on hyperconverged edge infrastructure that unifies compute, networking across wired and wireless protocols, storage and security under one control plane. VeeaONE i...