Korean and Vietnamese engineers working on a robot cell

PHYSICAL AI · KOREA × VIETNAM DELIVERY

Turn one factory task into a
working robot pilot in 8–12 weeks.

One delivery loop from task discovery and demonstration data to robot-policy development, cell integration and KPI validation.

  • ✓ Korean-language project coordination
  • ✓ Robot- and model-neutral design
  • ✓ Vietnam engineering delivery

START WITH ONE TASK

Begin where the automation value is measurable

Instead of buying a platform first, we select one task by repetition, labor burden and quality variance, then agree on success criteria at the site.

01

Electronics assembly

Connector insertion, alignment and fastening tasks requiring both vision and force

02

Inspection & sorting

Classification, defect isolation and tray rearrangement after visual inspection

03

Logistics handling

Bin picking, piece picking, packing, tote movement and palletizing

04

Process assistance

Machine tending, material loading and repetitive operator-assistance motions

DELIVERY LOOP

We do not stop at collecting data

Training data and field deployment share the same KPI, so each pilot result becomes input for the next improvement cycle.

  1. 01 · DISCOVER

    Define task, safety and KPI

  2. 02 · COLLECT

    Capture demonstrations and sensors

  3. 03 · VALIDATE

    QA and classify failures

  4. 04 · TRAIN

    Train and benchmark policy

  5. 05 · DEPLOY

    Integrate and test the cell

  6. 06 · IMPROVE

    Retrain from field logs

Robot data operations and teleoperation lab

ENGAGEMENT OPTIONS

Three ways to start at your current stage

PACKAGE 012–3 weeks

Physical AI Readiness Assessment

We define task candidates, safety and hardware constraints, data access, target KPIs and pilot scope.

  • ✓ Task feasibility matrix
  • ✓ Site and data requirements
  • ✓ Pilot proposal
PACKAGE 028–12 weeks

Task Data & Policy Pilot

For one task, we run data collection, a baseline policy and field validation.

  • ✓ Versioned dataset
  • ✓ Baseline robot policy
  • ✓ KPI benchmark report
PACKAGE 03Ongoing

Managed Physical AI

After deployment, we improve data and policy with failure logs, new variations and changing production conditions.

  • ✓ Operations monitoring
  • ✓ Data and policy versioning
  • ✓ Improvement sprints

ONE TEAM · TWO DELIVERY BASES

Korean field access and Vietnam engineering, as one team

KOREA · CUSTOMER & FIELD

  • ✓Task discovery and stakeholder interviews
  • ✓Korean-language requirements and project management
  • ✓Coordination with customer and field-integration partners

VIETNAM · DATA & ENGINEERING

  • ✓Demonstration and sensor-data operations with QA
  • ✓Robot policy, vision and platform engineering
  • ✓Simulation, testing and retraining operations

WHAT YOU RECEIVE

Decision-ready outputs, not a folder of files

01

Task feasibility and risk matrix

02

Data specification and QA criteria

03

Versioned training dataset

04

Baseline policy and reproducible evaluation

05

Field KPI and failure-mode report

06

Production transition and scale roadmap

Scope and success criteria come first

Timeline and performance depend on the robot, gripper, sensors, data access, process variation and safety requirements. We agree on success and stop criteria during the Readiness Assessment before a pilot begins.

Tell us one task you want to automate.

Share the current process, installed robot and target KPI. In the first meeting, we will map pilot fit and the next required step.

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