Private LLMs: Power Secure AI-Driven Workflows
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
May 2026 Feature Updates: Richer Audio Labeling, Smarter Predictions, and More Labeling Control
June 8, 2026
May’s updates bring meaningful improvements across Data Studio, from a significantly expanded Audio Labeling experience to smarter search tools and more control over automated predictions. Whether you’re working with multi-channel audio, running large-scale labeling jobs, or protecting sensitive data, this month’s releases are designed to give you more precision and flexibility in your workflow.](/content/blog-posts/may-2026-feature-updates-richer-audio-labeling-smarter-predictions-and-more-labeling-control/index.html)
NLP Labeling
April Updates: Smarter Labeling Controls, Audio Precision, and Expanded Cloud Integrations
May 5, 2026
This month's updates bring more control to your labeling workflows, sharper audio tooling, and deeper connectivity with cloud storage. Whether you're working with text spans, audio timestamps, or building RAG-powered applications, these improvements are designed to reduce friction and keep your teams moving faster.](/content/blog-posts/april-updates-smarter-labeling-controls-audio-precision-and-expanded-cloud-integrations/index.html)
NLP Labeling
March 2026 Feature Updates: Better Guidance, Smarter Reviews, and Deeper Insights
April 7, 2026
This month’s updates introduce ML-assisted selective labeling, granular time-tracking metrics, and enhanced label guidance to boost precision and workflow efficiency. Additionally, new analytics for pre-labeled data and domain security controls provide teams with deeper visibility and stronger workspace protection.](/content/blog-posts/march-2026-feature-updates-better-guidance-smarter-reviews-and-deeper-insights/index.html)