HOW WE WORK

Our Data Collection Process

End-to-end pipeline with rigorous quality control at every stage.

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Scenario Design

Define collection requirements

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Participant Recruitment

Source qualified participants

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Professional Collection

Capture high-quality data

Quality Control

Multi-stage verification

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Secure Delivery

Encrypted data transfer

Each Step in Detail

A closer look at how we ensure data quality at every stage.

01

Scenario Design

We work with your team to define precise data collection scenarios, including task types, environments, camera angles, and annotation schemas tailored to your model requirements.

02

Participant Recruitment

Our global network allows us to source diverse participants across multiple countries. All participants sign consent forms and undergo training before data collection begins.

03

Professional Collection

Using standardized equipment and protocols, our trained collectors capture egocentric video, hand motion data, and manipulation sequences in real-world environments.

04

Quality Control

Every dataset undergoes multi-stage review: collector self-check, peer review, expert audit, and random sampling inspection to ensure consistency and accuracy.

05

Secure Delivery

Datasets are encrypted and delivered via secure channels in your preferred format. We support JSON, CSV, and custom schemas for seamless integration with your training pipeline.