Full-Stack Multimodal AI Training Data Annotation & RLHF Evaluation Service
This project provides end-to-end AI training data solutions for global AI teams and model developers, covering text, image, audio, video, 3D point cloud and GUI screenshot data types. Our services include SFT instruction annotation, RLHF human preference evaluation, multilingual & Chinese dialect speech transcription, autonomous driving scene labeling, and UI task flow data construction. We enforce multi-level quality inspection, strict data anonymization and NDA-based workflows, with full traceable operation logs. We support fast pilot runs and flexible scaling, and have stably served dozens of model iteration projects with high-quality, compliant training data output.