关于 PICKTRA 派拓威About PICKTRA

让数字任务更准确地落到物理现场。Turn Digital Tasks Into More Precise Physical Operations.

PICKTRA(派拓威)是麦黎(北京)科技有限公司旗下智能仓储与工业自动化品牌。我们通过投影、机器视觉、感知控制、机器人与 AI 技术,将数字系统中的任务转化为现场人员和设备能够直接理解、执行和验证的动作,让仓储现场每一步更精准。PICKTRA is an intelligent warehouse execution and automation brand. We combine projection, machine vision, sensing, control, robotics and AI to turn digital instructions into actions that people and machines can understand, execute and verify—making every warehouse operation more precise.

PICKTRA

公司简介Company Intro

PICKTRA(派拓威)是麦黎(北京)科技有限公司旗下智能仓储与工业自动化品牌,专注于连接数字系统与物理现场的智能执行与自动化技术。PICKTRA is an intelligent warehouse and industrial automation brand of Picktra (Beijing) Technology Co., Ltd., focused on intelligent execution technologies that connect digital systems with physical operations.

在仓储和工业现场,大量任务已经由 WMS、WCS、RCS、MES 等数字系统生成和管理,但从“系统下达任务”到“人员和设备在现场准确执行”,中间仍然存在大量依赖人工理解、确认、定位和操作的环节。寻找、判断、重复确认、错误操作以及不同设备之间的信息断层,仍然影响着仓库的效率、准确性和安全性。Across warehouse and industrial environments, WMS, WCS, RCS and MES already generate and manage large volumes of digital tasks. Yet the final step—from a system instruction to accurate execution by people and machines—still depends heavily on manual interpretation, confirmation, positioning and repetitive actions. Searching, judgment, repeated verification, operating errors and information gaps between systems and equipment continue to affect accuracy, efficiency and safety.

PICKTRA(派拓威)希望解决的,正是“数字任务到物理执行之间的最后一公里”。我们从投影拣选产品切入,将位置、数量和操作提示直接呈现在实际作业点;同时围绕仓库建设与运营中的真实问题,逐步拓展至划线贴码机器人、超高超宽检测、人员与机器人主动安全控制、自动叉车及智能物料搬运等产品方向。Picktra focuses on this “last mile” between digital tasks and physical execution. We start with projection-guided picking, bringing location, quantity and operating guidance directly to the point of work. Around real warehouse deployment and operating problems, we are also developing solutions for line marking and code placement, clearance detection, proactive human-robot safety control, autonomous forklifts and intelligent material handling.

PICKTRA(派拓威)不追求为了自动化而自动化。我们更关注一项技术是否真正让现场作业变得更准确、更简单、更高效、更安全。我们的长期目标,是成为仓储数字系统与物理执行之间值得信赖的智能执行层,让每一条数字指令都能够更准确地落到真实世界。We do not pursue automation for its own sake. We ask whether the technology makes real operations more accurate, simpler, more efficient and safer. Our long-term goal is to become a trusted intelligent execution layer between warehouse digital systems and physical operations, so that every digital instruction can be translated into a more precise action in the real world.

品牌使命Mission

让数字任务更准确地落到物理现场。Turn Digital Tasks Into More Precise Physical Operations.

品牌愿景Vision

成为连接仓储数字系统与物理执行之间值得信赖的智能执行平台。To become a trusted intelligent execution layer connecting digital warehouse systems with physical operations.

公司定位Positioning

PICKTRA(派拓威)是一家面向仓储与工业现场的智能执行与自动化技术公司。我们通过投影、机器视觉、感知控制、机器人与 AI 技术,把数字系统中的任务转化为现场人员和设备可以直接理解、执行和验证的动作。Picktra is an intelligent execution and automation company for warehouse and industrial operations. We combine projection, machine vision, sensing, control, robotics and AI to turn digital instructions into actions that people and machines can understand, execute and verify in the physical workplace.

营销表达:解决仓储自动化最后一米的问题。Marketing expression: Solving the Last-Meter Problems of Warehouse Automation.

我们希望解决的问题The Problems We Address

核心问题 01Core Problem 01

数字系统已经知道“应该做什么”,但现场仍需要人去寻找、确认、定位和判断。PICKTRA(派拓威)希望补上从 WMS / WCS / RCS / MES 等系统任务到物理动作之间的执行断层。Digital systems may already know what should happen, but physical operations still require people to search, confirm, position and interpret. Picktra aims to close the execution gap between WMS, WCS, RCS or MES tasks and physical actions.

核心问题 02Core Problem 02

仓储现场仍存在大量重复但容易出错的工作,例如找货位、反复看屏幕确认、人工划线贴码、人工测量和重复搬运。目标不是简单替代人,而是把更适合机器完成的重复工作交给机器,把人的精力留给异常处理与判断。Warehouse operations still contain repetitive, error-prone work such as locating bins, repeatedly checking screens, manual line marking and code placement, manual measurement and repetitive material movement. The goal is not simply to replace people, but to assign repeatable work to machines and keep human attention for judgment and exception handling.

核心问题 03Core Problem 03

大量仓储自动化公司已经解决“货怎么移动”,但货到工作站后怎么快速拿对、仓库坐标如何准确落地、二维码如何高精度贴、超高超宽如何自动检测、人员进入机器人区域后如何联动控制,以及成熟叉车如何低成本智能化,仍然存在很多“最后一米”问题。Many warehouse automation systems have already improved how goods move, but important last-meter problems remain: how operators pick correctly at the workstation, how warehouse coordinates are accurately transferred to the floor, how codes are placed precisely, how clearance exceptions are detected, how robots respond when people enter work areas, and how proven forklifts can be upgraded intelligently at practical cost.

方法论How We Build

感知 → 判断 → 控制 → 执行 → 验证 → 数据回流Sensing → Decision → Control → Execution → Verification → Data Feedback

真实问题驱动Real Workflow

从真实作业问题出发,而不是从技术出发。先理解客户现场发生什么,再判断需要投影、视觉、传感器、机器人还是 AI。Start with real operational problems, not technology. Understand what happens on site first, then decide whether projection, vision, sensing, robotics or AI is actually needed.

尽量少改变现场Minimal Disruption

自动化不应该意味着推翻整个仓库。PICKTRA(派拓威)优先考虑如何利用现有系统、设备和流程,通过增量部署解决问题。Automation should not require rebuilding the entire warehouse. Picktra prioritizes incremental deployment that works with existing systems, equipment and workflows.

软硬件协同Software + Hardware

很多仓储问题无法只靠软件或只靠硬件解决。我们围绕“感知 → 判断 → 控制 → 执行 → 验证 → 数据回流”构建闭环。Many warehouse problems cannot be solved by software or hardware alone. We build around a closed loop of sensing → decision → control → execution → verification → data feedback.

用结果验证技术Verify With Outcomes

不为了 AI、机器人或其他概念而做产品。最终回到准确性、效率、安全性、部署难度、维护成本和投资回报,用可验证结果判断技术价值。We do not build products around AI, robotics or other concepts for their own sake. Technology is ultimately judged by verifiable improvements in accuracy, efficiency, safety, deployment effort, maintenance cost and return on investment.

PICKTRA closed-loop methodology

品牌价值主张Brand Value Proposition

Precise|更精准Precise

减少数字任务到物理执行过程中的信息损失和操作误差。Reduce information loss and operating errors between digital tasks and physical execution.

Practical|更实用Practical

优先解决客户现场真正存在的问题,而不是追求技术复杂度。Solve real on-site problems before adding technical complexity.

Deployable|更容易落地Deployable

充分考虑既有设备、系统、施工、调试、维护和成本。Design around existing equipment, systems, installation, commissioning, maintenance and cost.

为什么选择 PicktraWhy Picktra

不是单一设备Not a Single Device

我们关注的不是单一设备,而是任务如何从系统真正落到现场。We focus not on a single device, but on how digital tasks become reliable physical actions.

从真实流程出发Workflow First

围绕真实作业流程,PICKTRA(派拓威)将投影、机器视觉、感知控制与机器人技术组合成可部署的产品方向。Around real workflows, Picktra combines projection, machine vision, sensing, control and robotics into deployable product directions.

能力边界清晰Clear Boundaries

坚持用可验证的数据和清晰的能力边界对外沟通;尚无证据的性能、认证、客户结果不提前包装成承诺。Communicate with verifiable data and clear capability boundaries; do not turn unverified performance, certifications or customer outcomes into promises.

考虑长期可用Built for Use

从安装、调试到维护考虑实际项目交付,把复杂能力转化为可部署、可维护、能够实际创造价值的产品。Consider real deployment from installation and commissioning through maintenance, turning complex capabilities into products that are deployable, maintainable and practically valuable.

当前产品方向Current Product Focus

首版对外展示已具备可讲清能力的产品方向;未交付样机与稳定规格的方向暂不展开。The first release highlights directions with clearly describable capabilities; undeployed roadmap items stay hidden.

当前产品Available

投影拣选Projection Picking

把拣选位置、数量和任务提示直接投到作业点,并按配置支持校验与异常提醒。Project pick locations, quantities and task guidance directly to the point of work, with verification and exception alerts when configured.

当前产品Available

检测与感知Inspection & Perception

在关键通道和作业点识别超高、超宽与侵限异常,为报警或后续控制提供检测结果。Detect over-height, over-width and clearance exceptions at critical checkpoints and provide results for alerts or downstream control.

告诉我们你的仓库现场和项目目标Tell Us About Your Warehouse and Project Goals

无论你正在评估投影拣选、仓库部署自动化、检测、安全还是物料搬运方案,请告诉我们你的作业流程、系统环境和项目阶段。Whether you are evaluating projection picking, warehouse deployment automation, inspection, safety or material-handling solutions, tell us about your workflow, system environment and project stage.