SCALEFORCE has secured new financing to advance what it describes as embodied-intelligence data infrastructure, with PEdaily’s report, republished by Sina reporting that the raise totals in the tens of millions of yuan. The company’s positioning centers on providing the data backbone that physical AI systems require, and its core platform, MatrixOS, is described as spanning the full journey of data from capture to delivery in both reports. PEdaily’s report provides an overview of the funding and the firm’s stated product direction.
PEdaily’s account, republished by Sina, says SCALEFORCE publicly disclosed the financing on August 12 and reports that the company completed two funding rounds within 40 days. The report does not disclose round sizes and names Hengxu Capital and KAILIAN Capital among investors. Together, the accounts outline a young company moving quickly to establish a foundation for physical AI data operations, while keeping specific terms of the deals private.
MatrixOS and the full lifecycle of physical-AI data
Both Gasgoo and PEdaily describe MatrixOS as a physical-AI data platform built to cover the lifecycle from collection through processing and delivery. The framing suggests an emphasis on orchestrating how raw data is gathered from real-world systems, transformed into usable training and validation assets, and then routed where it is needed inside development pipelines and operational environments. While neither report discloses performance details, they present MatrixOS as a unifying layer for data-intensive embodied intelligence work.
Gasgoo adds that the company says MatrixOS will be used to build a large-scale data-production network and to support iteration of a physical-AI operating system. That statement places the platform within a broader vision where data flow and operating environments coevolve. By highlighting a production network, the company signals an intent to structure data generation and processing in a coordinated way that extends beyond one-off pipelines, according to Gasgoo’s reporting of the firm’s plans.
The lifecycle coverage described in both reports also points to a bid for end-to-end control. Instead of focusing on a single stage such as labeling or storage, MatrixOS is presented as a platform that spans intake, transformation, and output. For teams working on embodied intelligence, such a scope could be intended to reduce the friction of moving data between tools and to maintain governance across steps, though neither report goes into technical specifics. The emphasis remains on how the company characterizes the platform’s role across the data path.
Disclosure timeline, investors named in reports, and a fast-moving launch
PEdaily’s report says SCALEFORCE publicly disclosed its financing on August 12 and that it completed two rounds within 40 days. The account does not provide round sizes and does not state the total across both rounds. It identifies Hengxu Capital and KAILIAN Capital among investors. These details frame the raise as happening on an accelerated timeline, while leaving dollar-by-dollar breakdowns undisclosed.
The same PEdaily report notes that SCALEFORCE was founded less than three months before the publication of the report. It identifies founder Guo Jiangliang as a former Baidu Smart Cloud founding member. Those biographical and timing details, as presented by PEdaily, introduce a team with prior cloud experience and a company that moved from formation to public financing disclosure in a short span. Gasgoo’s coverage focuses on the size range of the raise and the way the company describes its products, offering a complementary view.
Neither source provides additional terms, such as valuation or operational metrics. Both accounts keep the spotlight squarely on the company’s core narrative: a bid to power embodied-intelligence data needs through MatrixOS and related infrastructure. The lack of disclosed performance figures in the reports means the public picture remains largely defined by the company’s own description of its platform and the basic parameters of the financing.
This combination of rapid disclosure cadence and early-stage positioning aligns with a familiar pattern in frontier AI startups where product framing arrives early and granular metrics emerge later. In the case of SCALEFORCE, the company’s stated aim of enabling large-scale data production and supporting operating-system iteration for physical AI, as reported by Gasgoo, anchors its story while leaving room for future detail as the platform advances.
How SCALEFORCE frames its role in embodied intelligence
At the center of SCALEFORCE’s pitch is its self-description as an embodied-intelligence data-infrastructure provider. In both reports, MatrixOS is depicted as the mechanism through which that role is expressed, by covering the data lifecycle from collection to processing and delivery. Gasgoo reports that the company says MatrixOS will enable a large-scale data-production network, which would be a key capability if realized, and support ongoing iteration of a physical-AI operating system.
Because both sources focus on how the company presents its platform and financing, readers looking for broader market context can refer to recent EastFrontier coverage that explores activity in adjacent areas. For example, our report on humanoid AI model development by Westlake Robotics situates how teams building physical AI capabilities are approaching training and deployment strategies. That piece is available in our coverage of Westlake Robotics’ Series A round. It provides a view into efforts that rely on data infrastructure to translate models into real-world behavior, without asserting specifics about SCALEFORCE’s technology.
For a look at funding dynamics across companies pursuing world-model approaches in robotics, readers can see our analysis of world-model startup funding in robotics. While distinct from the reports on SCALEFORCE, that overview examines how activity at the intersection of data, models, and embodied systems is being financed. It serves as context for understanding why a company would organize around lifecycle-spanning data infrastructure for physical AI, while keeping the present article grounded only in what Gasgoo and PEdaily report about SCALEFORCE.
In sum, the two source accounts together outline a concise picture. Gasgoo reports that SCALEFORCE raised tens of millions of yuan and positions itself as an embodied-intelligence data-infrastructure provider. PEdaily’s report, republished by Sina, says the company disclosed the financing on August 12, completed two funding rounds within 40 days, and identifies Hengxu Capital and KAILIAN Capital among investors.
Both describe MatrixOS as a physical-AI data platform that covers data from collection through processing and delivery. And according to Gasgoo’s reporting of the company’s statements, MatrixOS is intended to help build out a large-scale data-production network and support iteration of a physical-AI operating system. As more information becomes public, those foundational claims and disclosures will be the reference points for tracking how the platform and the company develop.