AI Dataset Engineering Services

Functional Overview

We provide end-to-end AI dataset engineering services for customers, covering data collection, cleaning, augmentation, annotation, and governance, helping enterprises build high-quality, reusable, secure, and compliant AI datasets that lay a solid data foundation for model training and agent applications.

Customer Pain Points

  • The primary pain point facing enterprise AI applications is the lack of high-quality data, with large investment, long cycles, and uneven data quality in data governance.
  • The fusion and semantic processing of multimodal heterogeneous data has become a key bottleneck for large-model applications, lacking unified standards to support AI's understanding of business.
  • Data annotation requires heavy workload and high precision, lacking professional data processing tools and team support.
  • Data security and compliance requirements are increasingly strict, making full-lifecycle data management difficult.

Solution Advantages

  • Full-lifecycle AI dataset services: provides full-lifecycle support from data collection, cleaning, and augmentation to model migration, tuning, and evaluation, delivering end-to-end professional escort for models.
  • Localization AI Lab innovation validation environment: relying on domestic secure, autonomous, and controllable computing resources, combined with DeepSeek's high efficiency, low cost, open-source characteristics, and optimized operator efficiency, we improve domestic NPU adaptation, provide a combined environment of models, datasets, and tools, accelerate project landing, help customers build POCs, quickly validate the feasibility of AI projects in CV, NLP, scientific computing, and other fields, and support enterprise digital and intelligent transformation.
  • Multi-industry data accumulation and governance capabilities: covers data collection and governance experience in manufacturing, energy, finance, pharmaceuticals, and other industries, providing industry-specific data standards and governance solutions.
  • Semantic data governance: through the R1-DMP data management platform, we achieve full-link capabilities from data governance to semantic governance, moving multimodal heterogeneous data through the semantic layer, operational layer, kinetic layer, and decision layer, laying a high-quality data foundation for AI to understand business.

Architecture Diagram

Architecture Diagram