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Natural Language Processing Platform Datasaur Secures $4M In Seed Funding

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Datasaur, a natural language processing (NLP) platform that helps annotators train AI algorithms, has closed on a $4 million seed funding round and also launched a new feature, Datasaur Dinamic, allowing users to easily train custom NLP models. The round was led by Initialized Capital with participation from HNVR, Gold House Ventures, and TenOneTen, bringing Datasaur’s total funding to date to $7.9 million. The latest investment will be used to democratize access to the latest advancements in NLP and LLM technology.

“I’ve long observed that the primary differentiating factor between NLP models is the underlying training data,” said Ivan Lee, CEO and founder of Datasaur. “We initially founded Datasaur with a focus on the labeling platform because that was the most painful, complex, and time consuming step in the NLP development cycle. We’ve built a configurable and comprehensive interface for labeling the petabytes of raw text and audio data companies have accumulated. Today we are in a perfect storm between the dizzying advancements in LLM technology alongside renewed vigor from business stakeholders in translating AI into cost savings and accelerated revenue generation. At this key inflection point, we’re excited to accelerate our product development and help our customers tap into the full potential of NLP.”

With Datasaur’s new product Dinamic, users can take this labeled data one step further with a click of a single button to train a custom NLP model. As more data is labeled, the model automatically learns and becomes more accurate and powerful.

With this streamlined process, teams can quickly build and iterate on models. Dinamic turns a complex, multi-step process spanning multiple platforms and technologies into a simple two-step process. Companies can now annotate the data based on business requirements and automatically receive a fully trained NLP model, saving millions of dollars in data science costs along the way.

Datasaur Dinamic now allows non-technical teams to build and develop their own proprietary NLP solutions.