Company: VEEAW
Filing Date: 2025-07-23
Form Type: S-1
Source: 0001213900-25-066815
Chunk: 11

Company: VEEA INC.
Filing Date: 2025-07-23
Form: S-1
Chunk 11
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 to our knowledge, we are the first to market with patented technologies that a) bring virtualized data center capabilities to the far edge of the network, commonly referred to as the Device Edge, where all wired and wireless devices connect to the network (the “ Edge”), b) spawns hyperconvergence of computing, multiaccess communications and storage, (“ Edge Computing”) c) provides for Cloud-managed applications at the Edge (“ Hybrid Edge-Cloud Computing”), and d) enables machine learning with AI training, inferencing, and Agentic AI at the Edge (“ Edge AI”) including AI-driven cybersecurity for heterogenous networks. Such networks have given rise through any combination of our developed devices and third-party devices, with CPUs, GPUs, TPUs, DPUs and/or NPUs, that run on the VeeaONE platform’s software stack (“ VeeaWare”). Our end-to-end edge-cloud platform is referred to as VeeaONE TM(“ VeeaONE”) platform. The VeeaONE platform is highly complementary to cloud computing service delivery and capable of delivering solutions for a wide variety of use cases to a multitude of market segments at the Device Edge that the cloud falls short of delivering. Given the data transport costs to the cloud as well as data ownership and privacy concerns around the cloud-based applications, we believe that there is substantial demand for low-latency and cost-effective private and public network solutions and applications at the edge that increase productivity and generate value for enterprises. Moreover, VeeaONE platform solutions supported by Edge AI represents a pivotal architectural paradigm for scalable, performant, and trustworthy AI systems. The synergy between distributed AI and edge infrastructure enables new classes of applications that are infeasible within centralized cloud-only AI models, marking a significant advancement in the evolution of intelligent systems. In fact, enterprises may initially install VeeaONE platform products for some basic applications, and will be capable of employing Edge AI models for certain of their use cases when the need arises with VeeaHub product as the anchor for the heterogenous network that supports the AI model. For this and other characteristics discussed below, VeeaONE represents a new product category with the potential for large scale adoption in fast growing segments of consumer and enterprise markets. From the end-users’ perspective, the primary difference between pure cloud computing and our VeeaONE platform is in the fact that, for those capabilities that are typically cloud-only solutions but the end-users require them to be at the edge, for reasons of data privacy, latency, application of AI, etc., VeeaONE platform transparently brings those