
Datasaur
Datasaur is a data-labeling platform for teams that upload material, apply labels, and collaborate on annotation work.
What Datasaur is
Datasaur is a data-labeling platform for teams that upload material, apply labels, and collaborate on annotation work. Its Data Studio handles spans, text or row classification, document classification, OCR, bounding boxes, audio, and conversations. LLM Labs adds sandbox experiments, knowledge bases, human rating and ranking, and automated evaluation. A catalog of more than 200 base models supports Amazon SageMaker JumpStart, Amazon Bedrock, Azure OpenAI, OpenAI, and Google Vertex AI. Integrations include cloud storage, OCR, language processing, and machine-learning services. Datasaur offers web, API, and self-hosted deployments; self-hosting is available through Kubernetes with Helm Chart or Docker. The API supports webhook import and export, project creation and export, OAuth 2.0, and GraphQL, though OAuth credentials are limited to Growth and Enterprise. Datasaur states that it maintains SOC 2 Type 2, GDPR, and HIPAA compliance, with encryption at rest and in transit.
Good
- Supports text, document, image, audio, and conversation labeling.
- LLM Labs includes human rating and automated evaluation.
- Catalog includes over 200 base models.
- Offers self-hosted deployments and API access.
Watch out
- OAuth credentials are limited to Growth and Enterprise.
- Growth lists up to 10 users and 250,000 labels/year.
- External-storage document and bounding-box projects do not copy file data.
Who it suits
Datasaur suits teams that need to label varied data types or coordinate human review and model evaluation. Its self-hosted option and stated compliance coverage may suit regulated organizations.
Verdict
Datasaur brings diverse annotation workflows and language-model evaluation tools into one platform. Check plan limits and OAuth availability against your team's needs.
Plans and prices
From Datasaur's own pricing page, checked 1 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 1 user · 5,000 labels/year · 100MB storage · personal workspace · Growth trial up to 14 days |
| Growth | $24 a year | Up to 10 users · 250,000 labels/year · automated labeling · prioritized support · API access · $24K/year |
| Starter | $5,000 a year | Up to 3 users · 100,000 labels/year · 10GB storage · team workspace · $5K/year |
| Enterprise | Priced on request | Starting at 50 users · 1,000,000 labels/year · unlimited storage · dedicated support · enterprise compliance and security · self-hosted available · Talk to sales |
The facts
Each one read from Datasaur's own pages, with the date it was checked.
What it does
- API
- The Datasaur API supports webhook import and export, programmatic project creation and export, OAuth 2.0 authentication, and GraphQL.checked 1 Oct 2026
- Data labeling
- Datasaur is a web-based platform for uploading data, applying labels, and collaborating with labeling teams.checked 1 Oct 2026
- Integrations
- Datasaur integrations include Amazon Textract, Google Cloud Vision, OpenAI, spaCy, Hugging Face, Amazon Comprehend, Azure AutoML, GCP Vertex AI, AWS S3, Google Cloud Storage, and Azure Blob Storage.checked 1 Oct 2026
- Labeling types
- Data Studio supports span, textual or row classification, document classification, OCR, bounding box, audio, and conversational labeling.checked 1 Oct 2026
- LLM Labs
- LLM Labs includes sandbox experimentation, knowledge bases, human rating and ranking, and automated evaluation.checked 1 Oct 2026
- Model catalog
- The Models catalog includes over 200 base models and supports Amazon SageMaker JumpStart, Amazon Bedrock, Azure OpenAI, OpenAI, and Google Vertex AI.checked 1 Oct 2026
- Security compliance
- Datasaur states that it maintains SOC 2 Type 2, GDPR, and HIPAA compliance, with encryption at rest and in transit.checked 1 Oct 2026
- Self-hosting
- Self-hosted deployments are available using Kubernetes with Helm Chart or Docker.checked 1 Oct 2026
- Storage limitation
- For document and bounding-box projects using external object storage, Datasaur saves questions and answers without copying file data, while token-based and row-based data is still processed and copied to its database.checked 1 Oct 2026
- Support
- Datasaur directs users with questions to its support team at email support.checked 1 Oct 2026
- Target customers
- Datasaur says it helps regulated enterprises and critical sectors such as healthcare, finance, and public services deploy AI with privacy and accountability.checked 1 Oct 2026
Money
- API plan availability
- Generating OAuth credentials is available only on Growth and Enterprise plans.checked 1 Oct 2026
The company
- Company history
- Datasaur was founded in 2019 and is headquartered in Silicon Valley.checked 1 Oct 2026
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