Industrial process engineering and CAD/simulation for chemical catalysis
北京美斯顿 operates a small, engineering-focused team (9 engineers, 3 researchers) built around CAD, CFD simulation, and chemical catalyst development. The tech stack spans full-spectrum languages (Java, Python, C++, C#) plus cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch), but project activity centers on nox removal, catalyst design, and 3D printing robotics—indicating a materials/process engineering business rather than pure software. Pain points cluster around sales execution and customer expansion, suggesting a product-to-market-fit challenge for engineering-heavy companies.
北京美斯顿 is a Beijing-based engineering services firm of ~14 employees working on industrial process optimization and catalyst development. The company operates across multiple technical domains: NOx removal systems, methanol synthesis, catalyst R&D, CFD simulation, and 3D printing robotics. Their engineering capability spans CAD modeling, computational fluid dynamics, and performance evaluation platforms. The organization is split roughly 9 engineers, 3 researchers, 3 sales staff, with most staff at mid or manager level. Active hiring has stalled (no roles posted in 30 days) despite 17 open requisitions—consistent with early-stage product companies facing sales traction challenges.
Primary languages: Java, Python, C++, C#, JavaScript. CAD tooling, cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), databases (MySQL, PostgreSQL, MongoDB), and web/mobile stacks (React, Angular, Vue, Node.js, Django, Ruby on Rails).
Core projects: NOx removal and catalyst design, methanol synthesis, CFD simulation, 3D printing robotics, and a performance evaluation platform. R&D focus on catalyst chemistry and advanced manufacturing.
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