Gasgoo Munich- SCALEFORCE, an embodied intelligence data infrastructure company, has recently secured tens of millions in funding. The company stated that proceeds will primarily fund the technological iteration of its physical AI operating system, MatrixOS, the construction of a large-scale data production network, and team expansion. These moves aim to accelerate SCALEFORCE's rise as a global leader in embodied intelligence data infrastructure.Founded in May 2026, SCALEFORCE's core team hails from Baidu, Meta, and Huawei. The company built an end-to-end Data/AI Infra platform, MatrixOS. It achieves a complete data flywheel loop across "data—algorithms—scenarios."Image source: SCALEFORCEMatrixOS delivers three key advantages: strong generalization, high efficiency, and massive scalability.Strong Generalization: Powered by the ADA data generalization engine, MatrixOS uses the Latent Action Representation method and the JEPA unsupervised training paradigm. By jointly modeling training and evaluation data and mapping them into an action-tactile semantic latent space, the system decouples data from hardware configurations. This allows the same data assets to be efficiently reused across different robot bodies.High Efficiency: The proprietary GDP (Global-Deep-Proactive) data quality engine leverages information entropy analysis, posterior probability estimation, action semantic analysis, and Bayesian active learning. It continuously optimizes collection strategies from a global perspective, achieving a data usability conversion rate of 80%.Massive Scalability: SCALEFORCE has built a global, scaled physical AI data production network. The platform supports unified management and scheduling of hundreds of thousands of data collection nodes worldwide. It achieves end-to-end automation exceeding 95%. Furthermore, adhering to a human-centric data collection paradigm, the company was the first globally to launch a sub-millisecond, multi-sensor time synchronization kit. This enables synchronized, large-scale collection of full-modal data, including visual, tactile, force, and behavioral inputs.Notably, SCALEFORCE's data flywheel loop can operate independently or be integrated with clients to build joint big-data loops.SCALEFORCE has established deep partnerships with numerous world model companies, leading embodied intelligence robot manufacturers, and industry solution providers, including Tuoshi Zhihang and Zhizai WuJie. A multi-million-unit data order from Tuoshi Zhihang is now fully underway. In this project, SCALEFORCE's "targeted scenario data collection + MatrixOS platform data processing" services helped Tuoshi Zhihang's A-series robots successfully enter Aptiv factories.SCALEFORCE has also joined the Huawei Ascend computing ecosystem and Xinhua Net's "Robot+" real-world training scenario co-construction plan. As a first-batch member, the company is deeply involved in scenario implementation and data standard development. Additionally, it is actively building the "Spark" plan for industry ecosystem partners.Furthermore, SCALEFORCE has substantively launched its international expansion. An overseas team led by senior Southeast Asian experts has been assembled. It aims to systematically advance overseas business and partner networks.About "Seeds Discovery":Gasgoo's "Seeds Discovery" column creates a platform connecting startups, ecosystem partners, investors, and governments. It deeply empowers upstream and downstream sectors. Since its launch, the column uncovers standout companies and business models. It focuses on those driving industrial innovation during the intelligent transformation wave. According to Gasgoo, almost all startups featured in "Seeds Discovery" have successfully connected with industrial chain ecosystem resources.