PHI and PII are automatically stripped at scale and locally so analytics, training, and ML teams can work with the data safely and compliantly.
Browser storage is unavailable. Keep this page open and export your collection before leaving.

Datasaur
Datasaur builds and integrates private AI and agents for enterprise organizations. We prioritize rigorous security and compliance, ensuring your most sensitive data never leaves your infrastructure. Datasaur keeps your workflows internal, so your proprietary intelligence remains a dedicated competitive advantage, and is never used to train the next
Overview
Datasaur builds and integrates private AI and agents for enterprise organizations. We prioritize rigorous security and compliance, ensuring your most sensitive data never leaves your infrastructure. Datasaur keeps your workflows internal, so your proprietary intelligence remains a dedicated competitive advantage, and is never used to train the next generation of third-party models.
Product & workflow
Founders & team
Ivan Lee
FounderIvan serves as the Founder and CEO of Datasaur.ai. Datasaur builds data labeling software for ML teams working on NLP. After graduating from Stanford with a Computer Science degree, Ivan has spent his career working in the machine learning, search and gaming industries. He's driven by building cohesive teams and crafting technological breakthroughs into meaningful user experiences.
Founded 2019 · Source
Origins
Over the past decade, I have had the privilege of developing ML products at several companies. My most recent position at Apple involved overseeing the gathering of training data for the team, which required a significant investment of hundreds of millions of dollars. While working on this project, we utilized a range of tools, including spreadsheets, open-source resources, and custom internal tools. Despite the company’s resources, I found myself wishing for a labeling interface that didn't exist - one that would have made the process more efficient and streamlined.It was this realization that led me to create Datasaur, a solution that would address this gap in the market once and for all. Our goal is to provide an intuitive and effective labeling interface that can benefit the broader NLP ecosystem across all industries and languages.
News & product activity
Sources & observations
Maturity: Not assessed · 4 of 6 areas documented
Source-based assessment · automated evidence rules
The retained text does not establish product availability or customer use.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
- Product overviewSource description Checked 2026-11-08
- Product visualsNot documented
- Founders & originsTeam information
- Business model & pricingPricing page detected on company website; plans not reviewed Checked 2026-11-11
- Funding & ownershipNot documented
- Dated milestonesDated source activity: 2020 Q1 (quarter only)





