AI Training
Building a High‑Quality, High‑Efficiency Data Flywheel
Data annotation, model training, and evaluation iteration are the bedrock of AI adoption. We have built an industry‑leading AI data service and training platform, providing one‑stop services from data solution design, high‑precision annotation, quality control, to model evaluation and tuning, driving continuous AI evolution with a professional training data flywheel.
Professional Service System & Methodology
Data Solution Consulting & Design
Defines annotation guidelines, grading standards, and quality control systems aligned with business goals and model requirements, ensuring scientific and usable training data.
Full‑category Data Annotation Capability
Covers text, speech, image, video, point cloud, multimodal data, and thousands of annotation tasks: intent classification, entity extraction, sentiment analysis, ASR transcription, image segmentation, 3D bounding boxes, etc.
Human‑AI Collaborative Training Platform
Proprietary AI pre‑annotation + human verification middleware; pre‑annotation efficiency 5–10× manual. Quality control mechanisms: online inspection, multi‑person blind review, consistency testing, golden set evaluation.
Model Evaluation & Iteration Services
Multi‑dimensional model performance evaluation (accuracy, robustness, fairness, adversarial testing), with data augmentation and optimization recommendations – forming a complete flywheel of "data → training → evaluation → retraining".
Key Capabilities
10,000+ professional annotators and trainers covering 20+ industries
(finance, retail, mobility, healthcare, etc.)
Guaranteed annotation accuracy of 99%+, compliant with ISO9001/27001
and other management systems
Platform processes millions of data items daily
supports rapid scaling for demand spikes
Strict data security and privacy protection mechanisms,
supporting data masking and on‑site annotation
Application Scenarios & Value
Training Data Supply for General & Vertical Models
Provides high‑quality instruction fine‑tuning data, RLHF preference data, and multimodal alignment data for foundation models, speech recognition, OCR, etc.
Product Evaluation & Launch Support
Before new products/features go live, conducts large‑scale user simulation testing and experience evaluation, delivering quantifiable UX improvement recommendations.
Continuous Iteration of Algorithms
Through online badcase collection and proactive discovery mechanisms, rapidly generates data for remediation and enhancement, enabling weekly model iteration.