Company: VEEAW
Filing Date: 2025-07-07
Form Type: DRS
Source: 0001213900-25-061586
Chunk: 111

Company: VEEA INC.
Filing Date: 2025-07-07
Form: DRS
Chunk 111
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 Tridium’s Niagara 4 application               
 is one of the most widely adopted platform solutions for process automation and commercial       
 building industry. Niagara Framework has over 1.2 million instances of installations for         
 a wide range of vertical markets in 70 countries with 80% market share in the US and significant 
 market share in the other countries. The containerized version of Niagara 4 Building Management  
 System (“BMS”) software was first implemented and ported on VeeaHub                              
 products in 2020. Niagara BMS can be offered together, optionally with Smart Automation &        
 Control for Spaces (“SACS”) application, on VeeaONE platform to                                  
 hospitality vertical, commercial buildings, MDUs, public housing, hospitals, nursing homes,      
 and various energy production and refinery facilities among many others. Combined with AirLynx,  
 for network slicing, and/or SecureConnect, for network connectivity with cubersecurity, it       
 can provide for data subscription services to individual building functions - paid by building   
 owners or property managers. Examples of industrial installations to date are commercial         
 buildings, various industrial facilities and precision agriculture and Smart Farming delivered   
 to the edge standalone or together with Microsoft Azure FarmBeats applications.                  |

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Today widely adopted AI,
mostly in the form of LLM, resembles mainframe computing in the early days of computing. However, for everyday enterprise, industrial
and consumer use cases at the edge, AI is becoming distributed. Edge AI extends the Cloud AI to the Device Edge, or within a short range
of Device Edge, while augmenting Physical AI, which is AI embedded into machines, robots, or physical systems, allowing them to 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.

In hindsight, when future
generations look back on the transformative technologies of this century, distributed AI from the edge to the cloud will stand alongside
the birth of the internet and mobile computing as an invisible engine