01
Human Egocentric Data
First-person demonstrations of real work, manipulation, household and service tasks.
PHYSICAL AI DATA · APAC
Hard-to-get real-world data across Asia-Pacific.
Microtaka helps robotics and foundation-model teams source, license and collect real-world training data across China, Japan, South Korea, India and Southeast Asia.
APAC DATA LAYER
Human Demonstrations
EGO
Robot Operations
TELEOP
Industrial Skills
SKILL
Contact-rich Interaction
TACTILE
Data Rights & QA
PROVENANCE
WHAT WE SOURCE
Physical data for models that need to operate in the real world.
We focus on data that is difficult to reproduce with web-scale datasets or simulation alone.
02
Robot Teleoperation
Task-specific trajectories and synchronized robot-state data collected to buyer specifications.
03
Industrial Skills
Skilled workflows from manufacturing, maintenance, hospitality, logistics and other real operating environments.
04
Tactile & Force
Contact-rich interaction data combining visual, force, tactile and motion signals where required.
05
Failure & Recovery
Failed grasps, slips, drops, misalignment and recovery behavior for training robust policies and evaluators.
06
Existing Dataset Licensing
Rights-cleared datasets from APAC suppliers where commercial training and distribution permissions are available.
WHY APAC
A region with physical environments that are difficult to replicate.
Asia-Pacific combines the world's largest manufacturing base, highly specialized industrial workflows, large service economies and rapidly growing robotics ecosystems.
The opportunity is not simply lower collection cost. It is access to different physical environments, specialized skills, tools, objects, operating practices and deployment conditions.
China
Manufacturing · Robot Data · Teleoperation
Japan
Precision Skills · Service · Industrial Workflows
South Korea
Electronics · Automotive · Physical AI
India
Human Demonstrations · Distributed Collection
Malaysia
Data Operations · Hospitality · Industrial
Southeast Asia
Manufacturing · Logistics · Real-world Operations
HOW WE WORK
Start with the model's data gap — not with inventory.
01
Define
Task, environment, embodiment, modalities, volume and acceptance criteria.
02
Source
Match the requirement to suitable APAC suppliers, operators and real-world environments.
03
Validate
Validate with a small sample or pilot using defined quality, rights and provenance requirements.
04
Scale
Expand accepted sourcing or collection programs while maintaining consistent QA and delivery specifications.
DATA OPERATIONS
More than collection.
Physical AI data only becomes useful when collection quality, metadata, rights and downstream usability are controlled.
Supplier & venue sourcing
Collection operations
Quality control
Annotation & episode segmentation
Schema & format normalization
Dataset provenance
Licensing & rights coordination
Cross-border delivery support
START WITH A SPECIFICATION
Tell us what your model cannot get enough of.
We can evaluate whether that data can be sourced, licensed or collected across APAC before you commit to a large program.