Company: VEEAW
Filing Date: 2025-08-06
Form Type: S-1/A
Source: 0001213900-25-072342
Chunk: 107

Company: VEEA INC.
Filing Date: 2025-08-06
Form: S-1/A
Chunk 107
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 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,         
 intelligent medical devices, asset and resource management at hospitals, environmental monitoring 
 and controls, behavioral sensing                                                                  |

| ● | Precision                                                                        
 Agriculture – smart irrigation, smart spraying of fertilizer and pesticide, weed 
 detection, greenhouse environmental monitoring and controls, yield prediction    |

| ● | Shipping                                                                         
 ports —asset monitoring and management, worker safety, intelligent surveillance, 
 predictive maintenance                                                           |

| ● | Public                                                                                
 Utilities — remote asset monitoring, intelligent surveillance, predictive maintenance |

| ● | Defense                                                                               
 & Public Safety — unmanned systems, intelligent surveillance, predictive maintenance, 
 AI-driven IoT                                                                         |

| ● | Smart                                                                                
 Manufacturing — anomaly detection, worker safety, environmental controls, predictive 
 maintenance                                                                          |

| ● | Transportation                                                                        
 — supply chain and asset management, operator safety, real-world data-collection with 
 cameras and sensors, refrigeration monitoring and controls, predictive maintenance    |

59 VeeaHub Production Plans VeeaWare Ô software stack currently is supported on a number of third-party hardware products that meet its basic requirements. This enables delivery of heterogenous networks at the edge. However, even though VeeaWare full-stack software is designed to be hardware platform agnostic to the extent possible, to date such third-party products with the required functionality, processing and power performance in the right dimensions, and competitively priced have not been brought to the market by ODMs/OEMs. In particular, the types of products that are required for a broad range of use cases, must