Kunhua Technology provides full-process services from data collection, annotation to data set delivery around voice, vision, text and large model scenarios, helping AI teams obtain trainable, acceptable, and traceable data assets faster.

Organize collection tasks according to language, equipment, scene and crowd portraits, and support rapid replenishment of multi-modal samples.

Voice, images, video, and text enter the task flow uniformly, facilitating subsequent cleaning, quality inspection and version management.

Collection authorization, privacy desensitization, process marking and quality random inspection together constitute an acceptable data link.

Covering voice, images, video, text, point clouds and multimodal tasks, and unifying annotation specifications based on scene precipitation.

Complex tasks such as detecting boxes, segmentation, time-series events, preference sequencing, and multimodal alignment.

Task specifications, test standard calibration, batch production, random inspection and repair and acceptance reports constitute a complete delivery.

Design and write multi-domain command-response pairs, covering question and answer, rewriting, reasoning, code and multiple rounds of dialogue scenarios.

Artificial preference ranking, harmfulness labeling and multi-model answer comparison support reward model training and value alignment.

Build evaluation benchmarks and industry knowledge bases, carry out structured extraction and fact verification, and continuously measure model capability boundaries.