Company: VEEAW
Filing Date: 2025-07-07
Form Type: DRS
Source: 0001213900-25-061586
Chunk: 112

Company: VEEA INC.
Filing Date: 2025-07-07
Form: DRS
Chunk 112
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 that powered the rise of intelligent machines and reshaped the
fabric of modern society. We envision a world where robots can navigate the world and interact with humans in natural ways, autonomous
transporters that can safely fly through the complex urban environments, swarms of intelligent drones managing everything from agriculture
to disaster response, robotic assistants in the surgery room or even at home autonomously providing patient care or even perform lifesaving
procedures or minor surgeries, Smart Buildings and cities that respond to the needs of their inhabitants.

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 management (HVAC), building 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 management (HVAC), 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,         
 intelligent medical devices, asset and resource management