Ivan Lee - Datasaur 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.

Ivan spent the next 10 years building AI products at a number of companies, most recently at Apple. He discovered that while the industry was focused on Computer Vision tooling, there was a significant gap in serving Natural Language Processing (NLP) technologies and labeling raw text and audio data - most companies were using a painful combination of spreadsheets, open source tooling and clunky in-house tools.

Placing a big bet on the potential of NLP, he built Datasaur to focus on democratizing access. Datasaur now serves data science teams at institutions such as Google, Netflix, Zoom, Qualtrics, Stanford, Harvard, Oxford and more.

Learn about the latest in NLP and LLM

August 2026 Feature Updates: More Precise Labeling, Smarter Workflows, and Greater Control
August 2026 Feature Updates: More Precise Labeling, Smarter Workflows, and Greater Control
September 8, 2026

This month's updates make labeling more precise, project setup more flexible, and everyday workflows more predictable. Data Studio adds new capabilities for Bounding Box, audio, metadata, and Labeling Agent projects, while LLM Labs gives you greater control over storage synchronization and vector store metadata.

NLP Labeling
July 2026 Feature Updates: Smarter Search, Smoother Project Management, and Better Workflow Automation
July 2026 Feature Updates: Smarter Search, Smoother Project Management, and Better Workflow Automation
August 5, 2026

July's release is a more focused one, with updates that make day-to-day work more practical across search, project management, and automation. From richer search options in Span Labeling to more flexible export and document management workflows, these improvements are designed to help teams move faster with less friction in both Data Studio and LLM Labs.

NLP Labeling
June 2026 Feature Updates: More Flexible Labeling, Better Audio Workflows, and Easier Sync Management
June 2026 Feature Updates: More Flexible Labeling, Better Audio Workflows, and Easier Sync Management
July 9, 2026

June's releases focused on giving teams more flexibility in how they structure projects, more control over labeling workflows, and less friction when managing audio and synced content. Across Data Studio and LLM Labs, the biggest improvements this month help teams adapt workflows more easily while keeping day-to-day operations smoother.

NLP Labeling
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