Autonomous driving and vehicle perception
围绕 2D 图像、3D 点云、低置信度回退、人工复核、训练/导出和交付摘要构建闭环。
更适合购买结果而非通用工具的团队
3D点云标注 →Solutions
Solutions for autonomous driving, robotics, embodied AI, and industrial vision teams
Explore workflows for image annotation, point-cloud labeling, human review, model training, export, and project delivery across complex teams.
Shared workspace for uploads, review, and automationQuality control with AI assistance and human reviewTraining, export, and delivery summaries in one flowEnterprise controls for audit, permissions, and deployment
Solutions
Explore workflows for image annotation, point-cloud labeling, human review, model training, export, and project delivery across complex teams.
Robot video and scene understanding
将视频解码、AI 预标注、人工复核和训练交接放进同一条工作流，而不是分散到多个系统。
让代理带入工作，平台从数据到模型闭环
Robot video and scene understanding →Embodied AI dataset production
Upgrade embodied-AI dataset work into a reusable production asset with review, versions, delivery, and acceptance.
Better for long-term template reuse and team operation
云端 YOLO 模型训练 →Industrial vision and enterprise rollout
Bring secure access, review, and delivery into one platform for industrial and enterprise projects.
A stronger foundation for enterprise deployment, audit, and enterprise support
面向企业的控制能力 →Vertical Focus
Handle image annotation, point-cloud labeling, human review, training, export, and delivery in one platform.
One workflow for autonomous driving, robotics, and embodied AI
Handle image annotation, point-cloud labeling, human review, training, export, and delivery in one platform.
Explore solutions →Robot video and perception tasks
Fit robot-video, scene-understanding, and grasping pipelines where agent tasks need human review and training handoff.
Explore solutions →Embodied AI dataset production
Focus on dataset production, orchestration, version tracking, and delivery acceptance instead of one-off labeling.
Explore solutions →Industrial vision and enterprise rollout
Support industrial-vision and enterprise projects with secure access, review controls, delivery summaries, and enterprise deployment options.
Explore solutions →企业部署承接
这些方案页帮助团队判断是需要一条简单工作流，还是一套受治理的交付系统。
先从具体方案 workflow、目标项目和协作团队开始。
把 reviewed output 冻结成 dataset version 和可 release 的资产面。
通过同一套共享界面交付 summary、artifact 和 audit 上下文。
如果采购需要，再通过企业路径确认企业部署或 API 集成 的落地范围。
减少工具拼接的工业化交付面
把上传、review 流转、dataset version、release 交付和客户 handoff 放在同一套运营面里，而不是散落在多个工具之间。
面向 Physical AI / 机器人团队的交付链
让 scene / video 任务自然进入 reviewed output、training/export 和 delivery artifact，并能在多团队之间复用同一套 workflow。
企业集成规划入口
通过企业路径提前梳理企业部署、审计要求、采购流程，以及 API 集成 的集成范围，再决定如何落地。
Recommended next step
Start with 2D/3D Studio for hands-on annotation, move to Workflow Cloud for shared review and training, or choose Enterprise options for enterprise deployment and advanced controls.
更适合购买结果而非通用工具的团队
让代理带入工作，平台从数据到模型闭环
Better for long-term template reuse and team operation
A stronger foundation for enterprise deployment, audit, and enterprise support
Solutions
Recommended next step
Start with 2D/3D Studio for hands-on annotation, move to Workflow Cloud for shared review and training, or choose Enterprise options for enterprise deployment and advanced controls.