Solutions

Practical data services for key AI application scenarios

Different AI scenarios have different requirements for data types, annotation standards, quality control, and delivery timelines.

LLM

LLMs & Generative AI

Data services for language models, multimodal models, and enterprise AI applications, from corpus cleaning to preference annotation and model output evaluation.

Corpus cleaning and filteringInstruction-response dataMulti-turn dialogue dataPreference rankingModel output evaluationImage, video, and text data processing
AD

Autonomous Driving

Annotation for 2D images, 3D point clouds, lane lines, obstacles, traffic lights, and sensor fusion data for perception and scene understanding.

2D object detectionSemantic segmentation3D point cloud boxesLane line annotationObstacle annotationObject trackingSensor fusion data processing
BOT

Robotics Vision

Data services for object detection, semantic segmentation, pose estimation, defect labeling, and scene understanding for industrial and service robots.

Object detectionSemantic segmentationInstance segmentationPose estimationDefect labelingObject attributesScene understanding data
AIGC

AIGC & Content Intelligence

Data classification, image-text matching, style labeling, keyframe annotation, and content review for generative AI and content platforms.

Image classificationStyle labelingImage-text matchingKeyframe extractionVideo content annotationContent quality judgmentContent review labeling
ENT

Enterprise AI Applications

Turning business data into trainable, searchable, and evaluable data assets for enterprise AI systems.

Knowledge base organizationBusiness text classificationQ&A data preparationIntent labelingCustomer service data processingInternal document cleaning

Need AI data annotation or data processing services?

Contact DaoDataAI to discuss your data type, annotation goals, delivery timeline, and quality requirements.

Contact Us