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DataCanvas completes D1 round of financing

2023.10.08

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Recently, DataCanvas completed one round of financing with a total financing amount of 300 million RMB. Investment institutions under central state-owned enterprises such as China Electronics Group's Zhongdian Smart Fund, People’s Capital, Taiping Innovation under China Taiping, and Dongfang Jiafu under Zhejiang Orient Financial Holdings, as well as well-known financial investment institutions focusing on the artificial intelligence track such as Z&Y Capital, participated in this round of financing.

As a national specialized and innovative small giant enterprise, DataCanvas has been widely recognized in the market for its ability to innovate artificial intelligence technology and commercialize foundation software products. In 2020, it was included in the global AutoML key vendor database by Gartner, and for four consecutive years, it was selected as the top three machine learning development platform vendor in China by IDC. In the global open-source field of artificial intelligence, DataCanvas has independently developed several of the world's first open source projects, filling the technological gap in the AI field and leading the cross era development of the artificial intelligence industry.

As a strategic cooperation unit and core standard participating unit of the CAICT, DataCanvas jointly compile and publish multiple standards in the field of artificial intelligence foundation software and large models, including the world's first AI model development management standard and the country's first commercial AI development platform. As a representative enterprise and model partner member unit of the general large model ecological community, DataCanvas collaborates with relevant government departments to build an economically efficient intelligent computing center and a large model industry cluster, and takes the lead in implementing a large-scale and replicable large model application - Enterprise Knowledge Manager, fully overcoming the pain points and difficulties in the process of enterprise knowledge management, and fully unleashing the business value of the enterprise.

The investor stated that DataCanvas, which includes cutting-edge artificial intelligence technology achievements such as large models and significant long-term advantages in the commercialization strategy of AI foundation software, fully demonstrates the strength and potential of China's technological innovation enterprises. Foundation software is the core of artificial intelligence, and the development of AI foundation software determines the depth, height, and breadth of AI tech development, with a vast commercial market. In the era of high computing power, fully leveraging the advantages of algorithms and computing power, as a leading enterprise in the industry, DataCanvas is expected to achieve large-scale industry application capabilities in the future.

AI foundation software is providing core driving forces for enterprise innovation and social progress

In recent years, AI foundation software has become a key focus and layout direction for governments, technology service providers, and market customers. Various departments and governments have successively issued measures and regulations to encourage, support, and cultivate the development of foundation software products and services, as well as to support and empower local existing industries. Cloud service providers, technology innovation enterprises, and traditional enterprises are all using their own advantages to build the core and extension of AI foundation software services, To provide a continuous source of vitality for innovative implementation in vertical business scenarios and cross industry intelligent decision-making. According to IDC data, as of the end of 2022, the size of China's artificial intelligence software market has exceeded 30.7 billion yuan. According to the calculation of the China Academy of Information and Communications Technology, the scale of China's core computing power industry will reach 1.8 trillion yuan in 2022, with the government, finance, and telecommunications sectors maintaining high-speed growth. Along with the growth of other professional AI service fields, it has jointly promoted the development and application of China's artificial intelligence foundation software.

For many years, with industry-leading artificial intelligence foundation software, DataCanvas has provided independent AI capabilities for leading enterprises in various industries. At the product launch event in June this year, DataCanvas announced an upgrade to its product system, launching a series of cutting-edge technologies such as the DataCanvas Alaya large model and DingoDB multi-modal vector database, which together form the core product system of AIFS (artificial intelligence foundation software) and DataPilot. At this point, DataCanvas has successfully achieved the product layout of building a "big+small" model capability for enterprises.

DataCanvas Alaya not only includes a variety of configuration and parameter choices, but also provides users with a "white box" form, which allows users to gain maximum autonomy while utilizing large model technology capabilities. The openness of DataCanvas Alaya undoubtedly minimizes the threshold for autonomous application of large models.

In addition, DataCanvas Alaya also has an important attribute of "multimodality". Support various structured and unstructured data (including numbers, text, images, audio, video, etc.), and convert and output the value of data assets exponentially. At the same time, in order to support the alignment of multimodal data, DataCanvas has launched an open-source product, DingoDB multimodal vector database, which, in conjunction with DataCanvas Alaya, can provide storage and analysis for vector data, and provide an essential tool carrier for the utilization and management of multimodal data.

Currently, DataCanvas has launched an enterprise knowledge manager solution based on DataCanvas Alaya and DingoDB, which solves the problem of private domain multimodal data management and application, empowers enterprises to build highly automated and intelligent enterprise knowledge bases, and accelerates the application of multimodal large models on the ground.

From AI foundation software to AI foundation services, advancing the " AI cloud in the clouds" strategy

The popularity of large model technology provides layers of opportunities for the AI model industry chain, from the application of terminal large models, to model building platforms, algorithm platforms, vector databases, and even to the construction of the lowest level computing power. In the market trend of considering the underlying core technology as the lifeline of development, artificial intelligence infrastructure has once again exploded. Based on the analysis of future trends and the original intention of providing users with full lifecycle services, DataCanvas has officially established an intelligent computing center. Based on the advantages of artificial intelligence foundation software products, it will provide users with integrated services of "algorithm+computing " power and build an efficient computing infrastructure.

DataCanvas Chairman Fang Lei stated that since proposing the "AI cloud in the clouds" strategy, the company has continuously embedded AI capabilities into the cloud ecosystem of various industries using AI foundation software as a carrier, achieving remarkable results. The "algorithm+computing " power integrated service launched this time is to seize the huge demand for computing power in the market, deepen ecological cooperation with partners such as cloud vendors and intelligent computing centers, and jointly build high-quality "AI foundation services".

In the future, DataCanvas will focus on the upgrading needs of customers for artificial intelligence, implement the "AI cloud in the clouds" strategy, fully layout computing power construction, accelerate the landing of multimodal large model industries, lead the industry with advanced technological innovation, and lay a foundation for the construction of the digital economy.