Company: VEEAW
Filing Date: 2025-08-12
Form Type: S-1/A
Source: 0001213900-25-074676
Chunk: 105

Company: VEEA INC.
Filing Date: 2025-08-12
Form: S-1/A
Chunk 105
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 move, sense, interact, and respond intelligently to the physical world. As further explained below, edge computing and Edge AI have become synonymous as a “single system” at the edge, which may be offered in one fully integrated product or separately but securely networked or meshed together, depending on the nature of the use case. In a nutshell, Edge Computing together with Edge AI at the Device Edge and Physical AI are mutually reinforcing. Together, they form the technological foundation for the next generation of intelligent autonomous machines — reshaping manufacturing, logistics, mobility, healthcare, and smart environments. The rapid expansion of connected devices and the exponential growth of data generation at the network edge have challenged traditional cloud-centric AI processing models. The combination of Edge AI and edge computing converged with networking, as represented by VeeaONE, is not merely an optimization of existing network models but a fundamental shift that defines the future of AI-driven digital transformations. VeeaONE’s Edge AI capabilities can make all of this possible, not in theory, but in practice today. The convergence of edge computing with Edge AI provides for:

| ● | AI                                                                  
 inferencing pipelines optimized for near-real-time decision making; |

| ● | Hierarchical                                                              
 AI architectures - combining local sub-models with central/global models; |

| ● | Distributed                                                                     
 federated learning techniques enabling privacy-preserving distributed training; |

| ● | Efficient                                                               
 model updates and versioning through secure cloud-edge synchronization; |

The primary use cases that may be supported by MetaLynx platform, and in many cases with off-the-shelf AI models, includes:

| ● | Construction                                                                    
 — construction safety, automated job and resource tracking, behavioral sensing, 
 fire, gas and water leak detection, digital twin                                |

| ● | Energy                                                                                             
 and In-Building Climate Management — energy grid monitoring, building management                   
 and automation, lighting controls, predictive maintenance, waste management based on containerized 
 Niagara BMS or other integrated applications                                                       |

| ● | Hospitality                                                                                    
 (hotels & venues) — edge chatbots for check-in and concierge tasks, room automation,           
 real-time on-site recognition, energy monitoring and management, building automation, lighting 
 controls, predictive maintenance, waste management                                             |

| ● | Retail                                                                                    
 & Consumer — augment for smart shopping carts for real-time personalized recommendations, 
 self-check outs, shelf inventory management, impression analysis                          |

| ● | Healthcare                                                                                        
 (home, nursing homes, clinics and hospitals) — HIPPA compliant remote patient monitoring,