Datasaur, a data labeling platform, secured USD 4 million in a seed funding round led by Initialized Capital, with participation from HNVR, Gold House Ventures, and TenOneTen. The round brings the company's total funding to USD 7.9 million.

Along with the raise, Datasaur introduced Dinamic, a novel tool enabling users to easily train customized NLP models. Initially, users can label their data on the platform before subsequently leveraging the labeled data through Dinamic to facilitate the training of a personalized NLP model. Moreover, Dinamic autonomously refines its learning as additional data gets labeled, enhancing the model's accuracy.

The company aims to use the fresh funds to advance its NLP (natural language processing) data-labeling and model-building capabilities for data scientists.

Analyst QuickTake: In June 2023, Datasaur launched a tool called “ Evaluation and Ranking ” for training personalized ChatGPT models. Evaluation enables human annotators to assess the quality of the LLM's outputs and determine if the responses meet specific criteria for quality, while Ranking streamlines the reinforcement learning process by incorporating human feedback.