Building AI Computing Solutions for Vision, E-Commerce and Digital Media
Connecting our infrastructure strategy with practical enterprise AI workloads.
At TATC, we are developing our GPU computing business around practical demand from AI Vision, E-Commerce, and Digital Media. These sectors bring different workloads - from continuous video inference to generative content production - and help shape how we plan our computing services.
AI Vision and Intelligent Security
Our earlier work in smart security gives us a starting point for understanding intelligent video applications. AI-powered monitoring may require object detection, event recognition, video analysis, and searchable footage. Multi-camera inference and model development can create demand for dedicated GPU resources.
In February 2026, TATC signed an agreement with Junan Vision Technology Co., Ltd., a Thailand-based business in CCTV and security systems. We regard this signed commercial relationship as part of our customer development in the intelligent security sector.
E-Commerce and Digital Retail
We are also exploring opportunities with e-commerce and online retail businesses. AI use cases include product descriptions, marketing images, customer-service assistants, personalized recommendations, and campaign content. These applications can require recurring model inference or API calls as online activity grows.
Our discussions in this sector remain commercial opportunities rather than announced customer contracts. We will align prospective computing services with each customer's actual needs and implementation plans.
Digital Media and MCN
For digital media businesses and multi-channel networks, regular content production can involve short-form videos, livestream materials, multilingual campaigns, and digital avatars. AI-assisted editing, image generation, and video generation can use GPU computing at varying levels of intensity.
We are engaging with potential customers in creator operations, content production, and live commerce. These discussions help us understand likely usage patterns without treating prospective demand as existing contracted consumption.
Matching Services to Workloads
We are developing Bare Metal GPU services for customers seeking dedicated computing capacity, alongside a planned AI Token API for businesses that prefer model access through standardized interfaces. The appropriate future service model will depend on workload scale, technical requirements, and operating preferences.
By developing commercial opportunities across several sectors, we aim to build a diversified customer pipeline and match infrastructure expansion to verified demand. Our focus is on turning real application requirements into sustainable computing services.