DataCanvas (Zetyun)
Research profile; release coverage pending verification
Open-source large model innovation leader
DataCanvas (Zetyun) does not have active models tracked in LLMReference yet — browse families below or jump to a model index when you already know which model you need.
Covers 0 workload areas across 0 active tracked models; last verified 2026-04-15.
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Freshness
2026-04-15
Researched 94d ago
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DataCanvas (Zetyun) is a Chinese AI research organization founded in 2013. Open-source large model innovation leader. DataCanvas (Zetyun)'s model catalog is being expanded as public releases are verified and linked to stable pages. This page tracks the lab's public profile, known focus, related organizations, and catalog coverage status. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added.
About
DataCanvas, known as Zetyun, is a leading force in artificial intelligence, especially in generative AI and large language models (LLMs). Founded in 2013 and headquartered in Beijing, China, the company has significantly impacted the AI landscape with its innovative approach to automated data science platforms. Their mission of "Creating Intelligence, Exploring New Frontiers" and vision of "Empowering AI Native Businesses Worldwide" guide their efforts in providing comprehensive development platforms that support the smart transformation of government and business sectors. The company stands out with its broad expertise in AI, big data, and machine learning. They offer a suite of products and services that cover the entire data science lifecycle, from data preparation and feature engineering to the deployment and management of models. Their flagship platform, DataCanvas APS, supports the efficient development and deployment of machine learning and deep learning models, while their real-time decision center (DataCanvas RT) and the automatic modeling platform (DataCanvas BAP) show their commitment to cutting-edge technology. DataCanvas's contributions to generative AI and large language models are particularly noteworthy. Their open-source large model matrix, DataCanvas Alaya, provides a set of pre-trained large models with various configurations, highlighting their prowess in large-scale AI. The Alaya-7B series and their innovative LLMOps tool-chain demonstrate the company's dedication to advancing LLM applications, enabling users to implement industry-specific language model solutions easily. Further illustrating their technological capabilities is their achievement in the 2020 Kaggle competition, where their DeepTables project secured first place, showcasing their superior technical skills in AI and machine learning. This excellence, coupled with the substantial RMB 300 million raised in their Series D funding round, underscores the confidence investors place in DataCanvas's growth potential. While detailed specifics of their contributions to generative AI research are still emerging, DataCanvas's integrated "Computing Power + Algorithm" services are pivotal, offering seamless implementations of LLM applications to accelerate digital transformation. Their strong foundation, open-source initiatives, and robust platforms establish DataCanvas as a leading player in AI, both within China and globally.
Model families
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FAQ
Who founded DataCanvas (Zetyun) and when?
DataCanvas (Zetyun) was founded in 2013 and is associated with Beijing, China.
What models has DataCanvas (Zetyun) released?
DataCanvas (Zetyun) does not yet have linked model pages in LLMReference; this profile tracks the lab while model entries are verified.
Is DataCanvas (Zetyun)'s technology open source?
LLMReference does not yet have enough model license data to classify DataCanvas (Zetyun)'s releases.
Where is DataCanvas (Zetyun) headquartered?
DataCanvas (Zetyun) is headquartered in Beijing, China.
What is DataCanvas (Zetyun) known for?
Open-source large model innovation leader.
How can I access DataCanvas (Zetyun)'s models?
DataCanvas (Zetyun)'s provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.