Testing a data layer for robots in real workplaces.
The input is human task examples. The output is cleaner training and evaluation data for robotics teams in Asia.
Task
Human demonstration
Context
Rooms, tools, objects
Rights
Consent and usage scope
Structure
Sequences and metadata
Quality
Checks and annotation
Use
Training and evaluation
The problem
Real workplaces are hard to turn into clean training data.
Robots need to work outside labs. Real spaces are crowded, inconsistent, and full of small decisions.
Task variation
People do the same task with different tools, layouts, and recovery moves.
Human-object interaction
Useful data shows products, spaces, obstacles, and mistakes.
Collection ops
Access, consent, annotation, quality checks, and rights all matter.
The venture thesis
Robotics teams do not only need more data. They need useful demonstrations.
The thesis is simple. Teams may need varied, structured, legal task data from Asian workplaces.
I am testing whether a collection network can provide clear rights, useful metadata, and enough variation.
What could be collected
Task areas under review.
These are exploration areas, not finished services or available datasets.
How the model could work
From task need to structured dataset.
Define the task
Set the task, capture mode, metadata, and success checks.
Find settings
Find real workplaces with suitable layouts and participants.
Secure consent
Set participation terms, usage rights, and privacy rules.
Capture examples
Collect repeated examples through agreed capture modes.
Structure and check
Label task steps, outcomes, and quality issues.
Deliver data
Provide a defined dataset or recurring data supply.
Why Asia
Dense cities, varied work, and practical access.
The first focus is Hong Kong and nearby markets. Logistics, hospitality, retail, and facilities work create varied tasks.
Hong Kong is a useful place to test access, rights, task detail, and buyer demand.
Currently being validated
The immediate work is demand discovery.
The goal is to test demand before building supply.
Who I want to speak with
Conversations that can sharpen the first pilot.
Robotics companies
Teams seeking task demonstrations, evaluation data or harder-to-source real-world scenarios.
Investors and venture builders
People interested in robotics infrastructure and data businesses.
Collection partners
Hotels, cleaners, retailers, warehouses, facility operators and other businesses with suitable workflows.
Researchers and advisers
People with experience in robotics datasets, teleoperation, computer vision, annotation, simulation or data governance.
Founder note
Developed from Hong Kong, with validation before scale.
I am developing this venture from Hong Kong. My background spans software systems, CRM, reporting, and commercial operations. The next job is to prove buyer demand and define a responsible model.
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Working on robotics data or real-world automation?
I am speaking with buyers, partners, researchers, and investors. The goal is a useful first pilot.
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