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Type C - Vertical LLM Data
Type C - Vertical
LLM Data
AI data solutions across specific industry verticals including autonomous driving data annotation, in-vehicle data collection and specialized data services for industry, enterprise or private LLM.
Examples:
Nvidia: Autonomous driving and Smart cockpit datasets for Driver Monitoring System
China Merchants Group: Enterprise-grade dataset for building "ShipGPT"
2D, 3D & 4D Data for Autonomous Driving
The leading AI company in autonomous
vehicle development
2D, 3D & 4D Data for Autonomous Driving
The leading AI company in autonomous
vehicle development
2D, 3D & 4D Data for Autonomous Driving
The leading AI company in autonomous
vehicle development
Objective
Annotate vehicles, pedestrians, and road objects with 2D & 3D techniques to enable accurate object detection for autonomous driving. Self-driving cars rely on precise visual training to detect, classify, and respond safely in real-world conditions.
Solution
Dedicated Process Engineering team for analysis and optimization
AI-enhanced workflow with multi-level quality checks
Scalable global delivery through crowdsourced workforce managemen
Result
25% production in Month 1 with 95% accuracy (Target: 90%)
50% production in Month 2 with 99% accuracy (Target: 95%)
Achieved 99% accuracy overall with on-time delivery
Expanded to Malaysia (100 annotators) and Indonesia (150 annotators)
Objective
Annotate vehicles, pedestrians, and road objects with 2D & 3D techniques to enable accurate object detection for autonomous driving. Self-driving cars rely on precise visual training to detect, classify, and respond safely in real-world conditions.
Solution
Dedicated Process Engineering team for analysis and optimization
AI-enhanced workflow with multi-level quality checks
Scalable global delivery through
crowdsourced workforce management
Result
25% production in Month 1 with 95% accuracy
(Target: 90%)
50% production in Month 2 with 99% accuracy
(Target: 95%)
Achieved 99% accuracy overall with on-time delivery
•We have expanded to Malaysia (100 annotators) and Indonesia (150 annotators)
Objective
Annotate vehicles, pedestrians, and road objects with 2D & 3D techniques to enable accurate object detection for autonomous driving. Self-driving cars rely on precise visual training to detect, classify, and respond safely in real-world conditions.
Solution
Dedicated Process Engineering team for analysis and optimization
AI-enhanced workflow with multi-level quality checks
Scalable global delivery through
crowdsourced workforce management
Result
25% production in Month 1 with 95% accuracy
(Target: 90%)
50% production in Month 2 with 99% accuracy
(Target: 95%)
Achieved 99% accuracy overall with on-time delivery
•We have expanded to Malaysia (100 annotators) and Indonesia (150 annotators)
Objective
Annotate vehicles, pedestrians, and road objects with 2D & 3D techniques to enable accurate object detection for autonomous driving. Self-driving cars rely on precise visual training to detect, classify, and respond safely in real-world conditions.
Solution
Dedicated Process Engineering team for analysis and optimization
AI-enhanced workflow with multi-level quality checks
Scalable global delivery through
crowdsourced workforce management
Result
25% production in Month 1 with 95% accuracy
(Target: 90%)
50% production in Month 2 with 99% accuracy
(Target: 95%)
Achieved 99% accuracy overall with on-time delivery
•We have expanded to Malaysia (100 annotators) and Indonesia (150 annotators)
Objective
Annotate vehicles, pedestrians, and road objects with 2D & 3D techniques to enable accurate object detection for autonomous driving. Self-driving cars rely on precise visual training to detect, classify, and respond safely in real-world conditions.
Solution
Dedicated Process Engineering team for analysis and optimization
AI-enhanced workflow with multi-level quality checks
Scalable global delivery through
crowdsourced workforce management
Result
25% production in Month 1 with 95% accuracy
(Target: 90%)
50% production in Month 2 with 99% accuracy
(Target: 95%)
Achieved 99% accuracy overall with on-time delivery
•We have expanded to Malaysia (100 annotators) and Indonesia (150 annotators)