Gasgoo Munich- Tsing Standard has wrapped up two funding rounds worth hundreds of millions of yuan in June, finalizing its Series B financing, according to the company's announcement.
Founded in 2018 and incubated by Tsinghua University, Tsing Standard focuses on the large-scale deployment of embodied AI in vertical scenarios, aiming to build an engineering foundation that connects the physical world with AI models. Leveraging eight years of data accumulation and closed-loop engineering capabilities in autonomous driving, new energy, and industrial sectors, the company has established a tripartite structure: an embodied data engine, scenario simulation toolchains, and vertical world models. This forms a physical AI data flywheel based on "one foundation, one brain, and a hundred vertical applications."
Image source: Tsing Standard
In recent years, Tsing Standard has integrated its AI inspection, simulation, and testing products into the core supply chains of nearly every domestic automaker and battery manufacturer. With shipments exceeding 10,000 units across more than 30 countries, its client base spans key sectors including new energy vehicles, power batteries, energy storage, core components, mining, and power generation.
This capability allows Tsing Standard to transform critical workstations across diverse industrial settings—from battery pack inspections to final vehicle assembly, and from surface factories to underground mines—into embodied AI data fields and training grounds.
To operationalize this data, Tsing Standard developed the TsingLoop multimodal data engineering pipeline. It transforms raw signals scattered across multiple systems into standardized, reusable data asset packages through unified time-space-semantic alignment.
TsingLoop comprises four core modules: multi-source heterogeneous data access, semantic structuring, scenario assetization, and evaluation and feedback. These modules enable a "collect once, reuse multiple times" workflow, turning data into standardized assets that can be replayed, enhanced, and combined infinitely within simulations.
Building on the TsingLoop pipeline, Tsing Standard is constructing a Robot-in-the-Loop testing system for industrial scenarios. This system functions as an industrial embodied AI version of the "collect-simulate-validate-evaluate-iterate" loop, aiming to establish an engineering framework for robotics deployment that ensures continuous reuse, iteration, and cost reduction.
About Seeds Discovery:
Gasgoo's "Seeds Discovery" column is designed to serve as a platform connecting startups, ecosystem partners, investors, and local governments, providing deep empowerment across the supply chain. Since its launch, the column has been committed to uncovering exemplary companies, technologies, and business models that offer inspiration and leadership during the intelligent transformation wave, thereby driving the growth of automotive innovation. According to Gasgoo statistics, nearly every startup covered by "Seeds Discovery" has successfully integrated with industrial ecosystem resources.
