Accuracy. Scalability. Expertise.

High-quality training data and data collection is essential for all large language models, whether you build the data yourself, use a dataset from Sapien, or pre-existing models. A human-in-the-loop labeling process delivers real-time feedback for fine-tuning datasets to build the most performant and differentiated AI models.We provide precise data labeling with faster human input to enhance the robustness and input diversity to improve the adaptability of LLMs for your enterprise applications.

United States United States
San Francisco, California 00
NA
10 - 49
2023

Service Focus

Focus of Artificial Intelligence
  • Data Annotation - 20%
  • Text Annotation - 20%
  • Image Annotation - 20%
  • Video Annotation - 20%
  • Audio Annotation - 20%

Industry Focus

  • Advertising & Marketing - 20%
  • Business Services - 20%
  • Financial & Payments - 20%
  • Healthcare & Medical - 20%
  • Information Technology - 20%

Client Focus

80% Small Business
20% Medium Business

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