Liade Virtual Moving Point Selected for China Academy of Information and Communications Technology's Data Industry Graph Construction of a Tailored Intelligent New Foundation

Recently, the China Academy of Information and Communications Technology (CAICT), in collaboration with the China Artificial Intelligence Industry Development Alliance and the Shenyang Data Bureau, released the "Artificial Intelligence Data Labeling Industry Map (2026 Edition)". The successful selection of virtual motion points with high-quality data construction capabilities not only marks the authoritative recognition of the company's data capabilities, but also highlights the key value of the company as a core "enabler" in the second half of the transformation of embodied intelligence from "hardware competition" to "data competition".

For the incomplete version of the "Artificial Intelligence Data Labeling Industry Map (2026 Edition)", please contact the official website of the China Academy of Information and Communications Technology

Regarding the China Academy of Information and Communications Technology:

China Academy of Information and Communications Technology (CAICT) was founded in 1957 and is a research institution directly under the Ministry of Industry and Information Technology of the People's Republic of China. As the only industry innovation platform in the domestic ICT field that can connect new technology research, standard development, experimental verification, testing and certification to the entire chain and link of industry promotion, the China Academy of Information and Communications Technology has a scientific research business system that combines soft science research and hard power platforms, providing high-end professional services throughout the entire industry lifecycle, including decision-making research, consulting services, industry incubation, and application demonstration. The release of this map is an important manifestation of its role as a national think tank and leading the standardized development of industries.

In the face of the widespread "data gap" in the industry, virtual touchpoints have established a one-stop data capability for the entire process from collection to processing.

Full stack data collection capability

Virtual motion points have accumulated globally leading core algorithm technologies such as optical positioning, unmarked point recognition, optical and unmarked fusion, and LYDIA AI action model, which can build a multimodal acquisition system that can adapt to different robot forms and task requirements. From tiny details in the laboratory to the complexity and variability of the real world, whether it's quadrupedal walking, bipedal standing, or precise robotic arm grasping, every subtle movement can be fully captured and accurately aligned.

Full process data service capability

Collecting data is just the first step. How to turn scattered actions into "language" that algorithms can understand, and how to enable robots to learn real skills in the simulation world - this requires a professional path in between. Virtual motion points have powerful data development and service capabilities, which can efficiently repair, denoise, and structure raw data through advanced algorithms and automation tools, ensuring the accuracy and availability of output data. From a running action to a stage performance, from standard operations on industrial production lines to interactive postures in elderly care scenes - the action data behind these scenes has been refined into reusable industry assets through a systematic method that has been polished for many years.

Faced with the wave of the industry, Virtual Point has made a clear strategic choice: not to build the robot itself, but to focus on the data and platform of the robot industry, becoming the enabler standing in the background.

　　With its full stack data service capabilities, Virtual Point has won the trust of more and more robotics companies. From helping Songyan Power Robot achieve excellent results in the world's first humanoid robot half marathon race, to providing product and technical services for Ubiquitous, Galaxy General, Leju Robots, etc., Virtual Point is helping robots optimize motion control and behavior decision-making through precise data feeding. In addition, at the largest humanoid robot data training ground in China - Beijing Shijingshan Humanoid Robot Data Training Center, within a space of tens of thousands of square meters, the product technology and solutions of virtual motion points are serving 16 segmented scenarios such as industrial intelligent manufacturing and smart homes. The training ground can produce over 6 million high-quality data points annually.
From being selected as an authoritative figure by the China Academy of Information and Communications Technology to deeply penetrating top domestic robotics companies and industrial chains, virtual motion points are using spatial computing as an engine and high-quality data as a bridge to break down the barriers between the digital world and the physical world. In the future, as embodied intelligence evolves towards more complex scenarios, virtual motion points will continue to leverage the full process capabilities of data services and become an indispensable "data highway" for the entire intelligent industry.