Company: VEEAW
Filing Date: 2025-07-23
Form Type: S-1
Source: 0001213900-25-066815
Chunk: 92

Company: VEEA INC.
Filing Date: 2025-07-23
Form: S-1
Chunk 92
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 based on federation of edge networks, similar to this public safety network, deployed by service providers and enterprises across cities that is focused on cybersecure, intelligent, protects user data privacy, and fully networked with distributed computing that, in our belief, just simply works as it expands without significant integration, on-going maintenance or IT/OT expertise. From the end-users’ perspective, the primary difference between pure cloud computing and 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 transparently brings those cloud capabilities to as far as the Device Edge with heterogenous computing and communications networks supported by VeeaHub products for device and network management together with third-party devices that are capable of running VeeaONE platform software. The primary benefits delivered by VeeaONE platform for different use cases at the edge include:

| ● | Optimal                                                                 
 latency for real-time decisions at the edge vs. round-trip cloud delay, |

| ● | Lower                 
 data transport costs, |

| ● | Data                     
 privacy and sovereignty, |

| ● | Reliability                                                                    
 including “always-on” availability for mission critical applications and fault 
 tolerance if required,                                                         |

| ● | Scalability,                                                                        
 especially, with heterogenous networks supported by Veea’s full-stack edge-to-cloud 
 software platform,                                                                  |

| ● | Contextual                                 
 awareness of connected device at the edge, |

| ● | Improves                                                                                  
 resilience in intermittent connectivity scenarios, addressing connectivity and networking 
 challenges with data traffic micro-segmentation and network profiles at the edge,         |

| ● | Supports                                                   
 compliance with regional data sovereignty regulations, and |

| ● | Significant                            
 cost savings compared to alternatives. |

Edge AI, the ability to run intelligent algorithms locally, literally on machines or devices, or in short proximity of where data is generated, giving rise to how we live, work, and move, while helping to create new industries, redefining mobility, revolutionizing healthcare, transforming energy systems, and enabling more human-centered experiences. By moving AI from centralized clouds to the very edge of networks, Edge AI enables a new generation of autonomous machines and experiences that were once confined to science fiction. We believe that the societal impact will be profound. Edge AI market size in 2024 was on the order of US$20.8 billion, and is expected to reach US$24.9