Company: VEEAW
Filing Date: 2025-08-14
Form Type: 424B4
Source: 0001213900-25-076086
Chunk: 92

Company: VEEA INC.
Filing Date: 2025-08-14
Form: 424B4
Chunk 92
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 public safety networks in the world, the NYCWiN network designed, developed and
deployed in New York City beginning in 2009 under contract with Northrop Grumman. Leveraging this experience, we imagined a world 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,