About the
Datago.ai
Better Data,
Better Models,
Better Service.
And more security！
Our product evaluates and screens valuable data to significantly improve model performance, reduce training costs, and ensure data legality and compliance. This accelerates training speed and enhances model adaptability in various applications. With high privacy protection, data can be trained and transacted without leaving the premises, enabling companies to build high-quality custom models while ensuring data security.
Why Is Data Evaluation Necessary?
In the data transaction scenario:
evaluating data value ensures that buyers and sellers match the optimal data, thereby maximizing overall value.
Models are what they eat:
Data is the food for models, high-quality data can enhance training efficiency, model performance, and model portability.
In federated learning：
accurately evaluating data contribution ensures fair distribution of benefits among participants, while also improving the effectiveness and efficiency of model training.
Meet the Teams
Wenqian Li
Co-founder, CEO
Former Researcher@Tencent, and Huawei, NeurIPS Scholar Award , Expert in data research for deep learning, NUS PhD
Garmin Yan
Co-founder, CSO
Serial internet entrepreneur,
Founder of Seeming AI, Moderator@Pika,
AI education researcher.