06/09/2025
🌉 Atomrock: Bridging Cloud Intelligence and Real-Time Action｜Highlights from Taiwan Tech Connect in Seattle
This Saturday, our founder Kevin Tseng was invited to speak at Taiwan Tech Connect: AI × Innovation in Seattle at the University of Washington, where he shared Atomrock’s core philosophy and practical experience.
As domain-specific AI models continue to proliferate at an unprecedented pace, Atomrock’s focus is not just on building “smarter” models, but on coordinating AI systems across domains, integrating contextual information, and transforming cloud-based decisions into real-time actions on the ground.
Kevin introduced our development of the Model Context Protocol (MCP), which began in 2024. MCP is designed to deliver cloud-based intelligence to the edge, integrating video, audio, and sensor inputs to enable real-world AI-driven responses with precision and timeliness.
At the same time, with the launch of AWS’s Taiwan region, Atomrock also initiated our Taiwan Local AI Cloud deployment. By combining AtomCloud’s modular architecture with localized infrastructure advantages, we deliver low-latency, highly flexible cloud-edge deployments that meet enterprise and government demands for data sovereignty and local AI capabilities.
Kevin emphasized Atomrock’s ongoing strategy of Vertical Depth × Horizontal Integration:
- Vertical: Deep expertise in key real-world AI domains.
- Horizontal: Interconnecting models, tools, and devices into modular, collaborative systems of action.
We aim to serve as a bridge between future AI Agent Ecosystems and real-world applications. We also warmly welcome collaboration across industry, academia, and government to help build an open and deeply specialized AI economy.
這個週六，我們創辦人 Kevin Tseng 受邀於美國華盛頓大學的 Taiwan Tech Connect: AI × Innovation in Seattle，分享 Atomrock 的核心理念與實踐經驗。在多元 AI 模型如雨後春筍般湧現的當下，我們關注的不只是打造「更聰明的模型」，而是思考如何協調不同領域的 AI 系統、整合上下文資訊，並將雲端決策落實為現場的即時行動。
Kevin 表示，面對 AI 邁向多代理協作的趨勢，Atomrock 自 2024 年起投入開發 Model Context Protocol (MCP)，旨在將雲端決策即時傳遞至邊緣，整合來自影像、聲音、感測器等多源資訊，實現 AI 驅動的實體反應。
同時，隨著 AWS 在台灣資料中心的正式設立，Atomrock 也啟動了「台灣本地 AI Cloud」部署計畫，結合 AtomCloud 的模組化平台與在地部署優勢，提供低延遲、高彈性的雲邊協同部署，回應企業與政府對資料主權與在地 AI 能力的需求。
Kevin 強調，Atomrock 將持續以「垂直深化 × 水平整合」為策略核心：
- 垂直上，深耕特定場景與領域的專業 AI 能力；
- 水平上，整合各類模型、工具與設備，打造模組化、可協作的 AI 行動架構。
我們期許自己成為未來 AI Agent Ecosystem 與現實世界之間的橋樑，也誠摯邀請產官學共同打造一個開放且具專業深度的 AI 經濟環境。
