High-quality training data for frontier AI
Our professional annotation subsidiary in Yinchuan runs scaled teams and multi-tier QA across autonomous driving, large models and embodied AI, with rich project delivery experience.
Three domains
Autonomous Driving
Multimodal annotation for perception and decision-making.
- Point-cloud 3D box annotation
- Lane lines & drivable areas
- 2D / 3D object detection
- Semantic segmentation & 4D annotation
Large Models
High-quality corpora for training and alignment.
- SFT instruction data
- RLHF & preference ranking
- Red-teaming & safety evaluation
- Multilingual corpus construction
Embodied AI
Multimodal data for robotics and manipulation.
- Robot motion & grasping
- Trajectory annotation
- Multimodal alignment
- Simulated & real-world data
Delivery capabilities
Scaled teams
Stable professional annotation teams that ramp large projects quickly.
Multi-tier QA
Annotation, review and sampling checks safeguard delivery quality.
Security & compliance
On-site / private operations with strict confidentiality and access control.
Annotation tooling
Mature annotation tools and process platform for efficiency and consistency.
Custom guidelines
Tailored annotation specs and acceptance criteria per project.
Standard delivery process
- 01
Requirements
Define data types, scale and quality targets.
- 02
Guidelines
Establish annotation specs and acceptance criteria.
- 03
Pilot & alignment
Small-batch pilot to calibrate understanding and standards.
- 04
Production
Scaled team production with visible progress.
- 05
Multi-tier QA
Multiple QA rounds and rework to ensure pass rates.
- 06
Delivery & acceptance
Deliver to spec with support for iteration.
Need high-quality annotated data?
Hand us your data and standards for stable, secure and compliant annotation delivery.