A key distinguishing trait of the human species is our ability to invent and utilize tools to give us an evolutionary advantage.
Datasaur was founded on the premise that building the right tools can further the adoption and democratization of artificial intelligence.
Companies both large and small have re-invented the wheel in building their own ad hoc data labeling tools.
We strive to combine all the industry’s best practices and create a machine learning platform so our clients can focus on doing what they do best.
Meet our founder
Ivan Lee is the CEO and Founder of Datasaur.ai. He graduated with a Computer Science B.S. from Stanford University. He was chosen for the selective Mayfield Fellows entrepreneurship program in 2010. Ivan went on to found Loki Studios, an iOS game studio. After raising institutional funding from DCM's A-Fund and launching a profitable game, Loki was acquired by Yahoo.
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"We compared Datasaur to 55 other tools, and in that exhaustive comparison -- we found Datasaur to have the most complete suite of tooling."

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"Datasaur enabled us to automate our entire QA pipeline, we know what has been labeled (and the quality of each label) every 5 minutes without touching anything. It's all automated."

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"Integrating the platform with our AWS environment has been seamless, providing us with scalable data labeling capabilities."

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"We found the entire platform incredibly intuitive and easy to navigate. Onboarding was smooth and we were able to quickly adopt their automation tooling which was very important for us when considering a labeling platform."

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"We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively all while maintaining the personal touch you would expect from a start-up."

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"Our experience was pretty great. I enjoyed my time on Datasaur."

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"Instead of manually creating each project, we’re able to automate the project creation. Instead of manually scrolling through hundreds of medical labels, we can rely on search functions. This has saved admins and team members a lot of time in their project workflows."

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Learn about the latest in NLP and LLM

Say Goodbye to Clutter with Show and Hide Bounding Boxes
Say Goodbye to Clutter with Show and Hide Bounding Boxes
January 8, 2025

Datasaur's new "Show and Hide Bounding Box" feature allows users to toggle the visibility of labels, reducing visual clutter and improving focus and efficiency when working with overlapping or complex bounding boxes.

Datasaur
Looking to Improve Task Distribution? Let Self-Assignment Do the Work
Looking to Improve Task Distribution? Let Self-Assignment Do the Work
January 3, 2025

Labelers can now assign themselves to new projects as they become available in their Datasaur workspace.

NLP Labeling
Foundation Models, Lock In, and LLM portability
Foundation Models, Lock In, and LLM portability
December 17, 2024

The need for AI project portability is critical as specialized models emerge, helping organizations avoid vendor lock-in, adapt to new advancements, and optimize AI efficiency.

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