“ The 400 billion angel+++ round of financing has been launched, and human behaviour data products have been continuously acquired by several leading companies.
Intelligent Infrastructure Co., Ltd. has recently completed almost a billion-dollar angel++ round of financing. This round of investments includes Key Capital, Nanchang New Investments, Suzhou Trend Capital, Energy Perpetual Capital, Hangzhou Group and West Lake Research and Innovation, the funds will mainly be used for research and development of human behavior data products, the generation of core technologies, the construction of industrialized production systems and the deepening of industrial cooperation.
Two successive rounds of financing have taken place, marking a new stage in the development of technology. From the perspective of investors, the two rounds of financing cover marketed investment institutions, local hard-tech capital and industrial capital. The continuous investment of different types of capital also reflects the focus of the smart industry, which is moving from models and robots themselves, to infrastructure such as data production, training adaptation and scale delivery.
01.
The demand for data with physical intelligence is changing from demo to product.
As physical intelligence moves from task demonstration to product delivery and real-world deployment, the demands facing data supply are also changing. In the task demonstration phase, enterprises can often complete model training and performance verification around a single task through limited data. But after entering the product delivery phase, robots will have to face more types of tasks, more complex environments, and more objects, with data requirements ranging from one-off, small-scale collection, to continuous, stable and adaptable to different models, entities, and tasks.
This change further underscores the importance of the data link. In the real world, operational tasks include not only movement trajectories, but also object states, spatial relationships, access to feedback, operational strategies and mission standards. How to transform these dispersed physical experiences in human behavior into information that robots can learn and use, becoming a fundamental question that physical intelligence needs to solve in the process from demos to products.
The path chosen by Hubble Technologies is to transform professional human behaviour into a robot-learable physical experience and build data products for robot training and execution.
Based on the needs of different models, entities and tasks for data, HubSpot has formed a product matrix that covers multiple forms of human behavioral data. Its products cover data forms such as first perspective, third perspective and touch, and analyze, represent and organize physical information according to specific training needs to form data products that can be accessed through the training process.
02.
From data products to large-scale deliveries, building industrial supply capacity
Establishment of the product form solves the question of what type of pump is delivered; when customer demand extends from single R&D to continuous procurement, the next step needs to be solved is how to complete the delivery on a steady, scale basis.
Whether a data product can continue to serve model training and authentication depends not only on the information contained in it, but also on whether the production and delivery systems can revolve around mission objectives, achieve scale production, quality control, and adapt to different models, entities, and tasks. This is also key to moving human behavioural data from one-time collection to product delivery.
At present, HYTC has established a production system covering mission design, behavioral data collection, governance, intelligent structuring and customized delivery, and through quality management at all stages, ensuring the quality of data products under large-scale production, forming an industrialized delivery capability for model training and authentication.
In this system, data is no longer merely the original record of delivery after completion of the project, but the product of task design, information analysis, structured processing and quality verification. Production methods, quality standards and technical tools around the accumulation of similar tasks can also serve different models, entities and application scenarios further.
Following the completion of this round of financing, KHL will further enhance the scale and efficiency of product production and delivery, strengthen its capacity to adapt to the needs of different models, entities and tasks, and continue to advance the construction of core technologies and industrialized production systems.
03.
Continuous financing and customer procurement to verify the infrastructure value of human behaviour data
If the product capability is to be established, it will eventually have to be verified through customer procurement and project delivery. It is known that Hubble Technologies has served many of the world's leading smart enterprises, Internet enterprises and traditional robot enterprises. According to the company, more than 60% of domestic smart enterprises valued at more than one billion yuan have become Hubble customers.
The continuous acquisition of multiple customers and the steady performance of projects in large-scale delivery demonstrate that the market demand for human behaviour data is shifting from a single R&D demand to a continuous demand for service model training and robotic product generation, and provides market validation for the data products and industrial delivery capabilities of Hubble Technologies.
This type of cross-type customer structure is related to the infrastructure positioning of Hubble Technologies. The company aims to provide replicable products and capabilities for different models, underlying and application scenarios, and to build closer connections between data production, model training and real-world applications through collaboration with industry-chain partners.
Following the completion of this round of financing, Hubble Technologies will continue to refine the matrix of human behavioural data products, strengthen core technologies such as physical information analysis, behavioural representation and human-machine motion mapping, enhance industrialized production, quality management and training adaptation capabilities, and further deepen industrial collaboration.
As physical intelligence enters the product and scale delivery phase, the infrastructure capabilities built around data, training and real deployment will also be an important part of the industry's scale development. Technology is breaking this link with human behavioral data products and industrialized delivery systems to provide sustained and stable physical experiences for robot learning and execution.