A business-level platform for developing and running AI, built with AI as its main focus and using the latest cloud technology. It integrates strong computing power, easy management, a user-friendly development environment, tools for managing models throughout their life-cycle, and solid security. The platform helps companies solve problems related to efficiency, cost, engineering, and reliability when using AI, making it a strong support for large-scale AI projects.

Breaks traditional technology paradigms by exploring cloud-native AI integrated architectures.

DataCanvas builds an open and collaborative ecosystem, partnering with cloud vendors, domestic chip manufacturers, industry ISVs, and leading research institutions to deliver full-stack, innovative AI solutions. Through technological symbiosis, business win-win, and joint standard-setting, the company has implemented numerous benchmark cases, accelerating large-scale AI adoption across various industries.

DataCanvas News focuses on technological breakthroughs, business cooperation, industry honors and ecological dynamics, with real-time updates on key progress.

Positioning: Leading provider of AI infrastructure software, focused on cloud-native AI platforms and large model toolchains.

Technology: Proprietary core technologies, including the Alaya AI Data Center Operating System and Hypernets automated machine learning framework.

Achievements: Ranked in the TOP 4 of IDC's China AI platform market. Leading the development of national standards and serving multiple benchmark clients.

Mission: Promote the industrialization of  AI in enterprises and build an open, win-win ecosystem.