Zeromatter 结束四年隐身模式，推出物理 AI 仿真平台
做了四年才露面的 Zeromatter，把车、无人机、机器人放进同一个仿真世界训练，思路类似英伟达 Isaac Sim 但更通用。做机器人或自动驾驶的团队可以关注它能不能降低 Sim-to-Real 的迁移成本。
Zeromatter 结束四年的隐身模式正式亮相，推出一个面向物理 AI 的仿真平台。该平台让自动驾驶汽车、无人机、飞行器与机器人可以在部署到现实世界前，先在同一个虚拟环境中完成测试与训练。这家公司的核心思路是：构建自主机器这件事，先在虚拟世界中进行会更快、更安全。目前公司尚未披露融资金额、客户名单或具体基准数据，产品形态是一个统一的仿真世界，覆盖多种载具类型。
对机器人与自动驾驶团队来说，仿真训练（Sim-to-Real）一直是落地前的关键环节，英伟达的 Isaac Sim、Cosmos 等也在争夺这一场景。Zeromatter 强调"同一套仿真世界同时服务汽车、无人机、飞行器和机器人"，差异化在于跨载具类型的通用性。开发者和企业是否采用，还要看其渲染保真度、物理引擎精度与生态支持。
Physical AI needs a place to train before it touches the real world. @ZeromatterTech just emerged from stealth after four years, with a simulation platform for testing and training physical AI. The same simulated world works for cars, drones, aircraft, and robots. Zeromatter @ZeromatterTech 4 years ago, Zeromatter started with a single bet: building autonomous machines would be faster, safer, and better done first in a virtual world. Today, we’re coming out of stealth to show what that bet has become.
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Zeromatter, 仿真平台, 物理AI, Sim-to-Real.
Source attribution: curated from elvis (@omarsar0).
