Datasaur, a San Francisco, CA-based natural language processing (NLP) platform that helps annotators train AI algorithms, closed a $4m seed funding round.
The round was led by Initialized Capital with participation from HNVR, Gold House Ventures, and TenOneTen, bringing Datasaur’s total funding to date to $7.9m.
The company intends to use the funds to advance its NLP data labeling and model-building process efficiency for data scientists.
Founded in 2019 by CEO Ivan Lee, Datasaur provides an NLP comprehensive and automated data labeling solution to financial, legal, and healthcare companies to turn raw unstructured data into valuable ML datasets. The company, which graduated from the Stanford StartX (F19) and YCombinator (W20) accelerators, has also launched a new feature, Datasaur Dinamic, which allows users to train custom NLP models.
FinSMEs
03/08/2023