专属物理智能平台THE SPECIALIZED PHYSICAL INTELLIGENCE PLATFORM

拥有你自己的物理智能 Own your physical intelligence

为你的任务选出最合适的本体与模型，让它在你的机器人上跑得快、越用越强。模型归你，数据归你，进化也归你。 Choose the right robot and the right model for your task. Run it in real time and keep it improving on the job. The model, the data and the gains stay yours.

了解平台Explore the platform 联系我们Talk to us

01智能是生产力，把它握在自己手里Intelligence is leverage. Own yours.

你的模型，你的数据，你的成本Own your models, your data, your economics

01

选得准Choose

为任务选出最合适的本体与模型The right robot and model for the task

不被任何一家模型或本体绑定。在你自己的任务上实测比较，用诊断结果说话，而不是看榜单。No lock-in to a single model or robot maker. Compare candidates on your own task and decide from diagnosis, not leaderboards.

02

跑得快Run

实时出动作，成本由你掌控Real-time actions at a cost you control

不改模型、不重训练，就能在机器人上实时出动作。同一个模型，换更便宜的端侧芯片也能跑。Real-time actions on the robot with no model changes and no retraining. The same model can run on a cheaper edge chip.

03

越用越强Evolve

在你的现场持续进化，成果归你Keeps improving on your floor, and stays yours

机器人从真实成败中自己学习，不用专家示范，也不用再派人去现场采数据。模型和数据始终留在你手里。Robots learn from their own successes and failures, with no expert demos and no one going back on site to collect data. The model and the data never leave your hands.

02为什么需要专属Why specialized

物理世界，没有通用答案The physical world has no universal answer

大模型时代，一个模型可以服务所有人。物理世界不是这样：本体不同、场景不同、任务不同，任务里的每一个步骤也不同。每一步，模型都要同时看懂画面、听懂指令、做对动作。通用模型拿过来能做，但做不稳。 In the LLM era, one model could serve everyone. The physical world doesn't work that way. Every robot body, site and task is its own problem, and so is every step within a task. At each step the model has to see the scene, understand the instruction and act correctly, all at once. A general model can attempt the job. It can't do it reliably.

不同的本体、场景、任务，细到每一个步骤，都是一个不同的问题。 Every embodiment, scene and task, down to each step, is a different problem.

不同本体 · 不同场景 · 不同任务 · 不同步骤
每项工作，都需要自己的专属大脑。 Different bodies. Different sites. Different tasks. Different steps.
Every job needs a brain of its own.

03我们的判断Our thesis

从模型中心，走向系统驱动的持续进化From model-centric to system-driven, continuous evolution

MODEL LOOP

模型迭代Model iteration

  1. 数据生成Data generation
  2. 训练适配Training and adaptation
  3. 策略更新Policy update
  4. 能力评测Capability evaluation

专属物理智能 = 模型 + 系统 Specialized physical intelligence = model + system

协同进化co-evolving

SYSTEM LOOP

系统迭代System iteration

  1. 部署优化Deployment optimization
  2. 推理优化Inference optimization
  3. 真实运行Real-world operation
  4. 反馈回流Feedback return

只靠模型迭代不够。我们要做的，是从交付一个模型，变成构建一个能在真实世界里持续进化的系统：让 Physical AI 不仅能被构建和部署，还能在真实世界中持续创造生产力。 Iterating on the model alone isn't enough. We go from shipping a model to building a system that keeps evolving in the real world, so that physical AI can be built and deployed, and then keep producing value on the job.

04Vela Infra

选对本体与模型，长成你自己的智能Choose the right robot and model. Grow intelligence you own.

你带来场景和数据，我们帮你选出最适合任务的本体与模型，完成定制、加速和持续进化。云端或私有化部署，数据可不出厂，模型归你。 You bring the scenario and the data. We help you pick the best robot and model for the task, then customize, accelerate and keep evolving it, in the cloud or on-premises. Your data can stay in the plant, and the model is yours.

模型库 · 不绑定任何一家MODEL LIBRARY · NO LOCK-IN

端到端动作模型End-to-end action models π0GR00T N1.7Xiaomi Robotics 0OpenWAMFast-WAM
大模型 · Coding AgentLLMs · coding agents DeepSeekQwenAstra更多模型…and more…
  1. 01

    选型Choose

    能力诊断Capability diagnosis ↗

    在你的任务上实测比较候选本体与模型，选出最合适的组合。Benchmark candidate robots and models on your own task and pick the best pairing.

  2. 02

    定制Customize

    按需As needed

    扩增数据、微调模型，或调整 agent 的模块与技能。Augment data, fine-tune the model, or adjust an agent's modules and skills.

  3. 03

    加速上机Accelerate

    推理加速Inference acceleration

    不改模型、不重训练，端上实时出动作。No model changes, no retraining. Real-time actions on the robot.

  4. 04

    持续进化Evolve

    自进化Self-evolution

    真实运行 → 诊断 → 进化，不用专家示范。Run → diagnose → evolve, with no expert demonstrations.

数据回流：越用越强的那一圈，在 Vela Infra 上持续转动Data flows back. The loop that makes robots better keeps turning on Vela Infra

05技术报告Technical reports

把机器人跑快、跑稳的技术报告Technical reports on making robots fast and reliable

全部报告All reports

能力诊断EVALUATION

Mind2Act World：把「想」和「做」拆开，看清机器人败在哪一步Mind2Act World: separating thinking from acting to find where a robot fails

推理加速INFERENCE

不改模型、不重训练：把机器人的动作生成做到实时Real-time action generation with no model changes and no retraining

即将发布Coming soon

自进化SELF-EVOLUTION

只看最终成败：机器人如何不靠专家示范学会奖励Outcomes only: how a robot learns its own reward without expert demonstrations

即将发布Coming soon

让每一台机器人，
都有一个越用越强的专属大脑。 Give every robot a brain of its own,
one that gets better with use.

如果你在做机器人本体、具身模型，或者想让机器人在自己的产线上真正上岗，欢迎和我们聊聊。 If you build robots or embodied models, or want robots doing real work on your own line, we'd like to talk.

hello@velabot.ai