saur

/ dat-uh-sawr /

Why companies choose us

From labeling data in Data Studio to experimenting in LLM Labs or forging your own Private LLMs.
Datasaur gives you the tools to cut costs, improve efficiency, and scale your business processes.

Services

Private LLMs

Forge your Private LLM to automate your business, and save $1M–$10M+ compared to similar services.

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Products

Data Studio

Best-in-class labeling interface helps you boost NLP project efficiency 9.6x through better data labeling.

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Products

LLM Labs

Compare and build with 200+ AI models at your fingertips. Reduce AI project costs by up to 70%.

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The most robust NLP Labeling & LLM platform choice for cutting-edge organizations around the world.

Meet our founder

Ivan Lee graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies.

He built Datasaur to focus on building private LLMs - secure AI solutions that don't send your data to third parties. Datasaur has raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify, the FBI and more.

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What our customers say

"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."

"We compared Datasaur to 55 other options, and in that exhaustive comparison -- we found Datasaur to have the most complete suite of tooling."

“The extra care Datasaur provided gave us the confidence to move forward. It was beyond just providing tools, the Datasaur team provided us mentoring, educating us through the process with best practices.”

“Generative AI empowers our human talent…by harnessing this technology, we can offer agile and competitive services, allowing us to focus on value-added work for our clients.”

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

“Recently we’ve started using Datasaur for grading LLM responses. This specialized and custom workflow was successfully integrated with Datasaur and was very easy to set up.”

Learn about the latest in NLP and LLM

Datasaur's 2025 Feature Releases: Powering Smarter, Faster Data Labeling

February 3, 2026

As we move past 2025, the Datasaur team has been hard at work delivering features that make data labeling more efficient, flexible, and intelligent. Whether you're annotating text for NLP models, managing complex labeling workflows, or building datasets for LLM training, this year's updates are designed to help you work smarter. Here's a rundown of what's new and why it matters.

Datasaur

January 2026 Feature Updates: Smarter Reviews, Better Search, and Expanded Machine Learning Support

February 3, 2026

January’s release: data review faster and more transparent with smarter search, clearer review signals, and better control over pre-labeled data. We’ve also expanded ML-assisted labeling with Amazon Bedrock support for greater flexibility.

Datasaur

December Feature Updates: More Flexible Rows, Hybrid Labeling, and Expanded Evaluation Metrics

January 5, 2026

This release brings more control to structured data workflows, new flexibility in how you label data, and broader support for evaluating span projects. Here’s what’s new.

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