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Datasaur

NLP and LLM data labeling platform with multi-model LLM Labs

data-labeling#data-labeling#nlp#llm-ops#annotation
Free plan Free trial Claimed API Self-hosted Teams

About Datasaur

Datasaur is a data labeling and LLMOps platform with NLP annotation (Data Studio) and LLM Labs, using a multi-model approach to speed labeling and cut costs by up to 70%.

Datasaur started as a specialized NLP data labeling tool and has expanded into a broader platform spanning annotation and LLM operations. Its Data Studio handles NLP labeling tasks like classification, NER, and span annotation, while LLM Labs provides tooling to build, evaluate, and ship LLM-powered applications and to use LLMs to accelerate the labeling process itself. A core theme is multi-model flexibility: Datasaur gives teams access to many models, including Claude, Llama, and GPT-family models, and claims its multi-model approach can cut costs by up to 70% while turning labeling projects that took a year into a few months. It is aimed at data scientists, ML engineers, and AI researchers who need efficient, high-quality labeled data and LLM workflows. Pricing spans both products. NLP labeling has a free plan plus Starter and Growth annual tiers and custom enterprise; LLM Labs offers a free pay-as-you-go plan, a Growth monthly plan, and custom enterprise, with flexible subscription or usage-based billing. This makes Datasaur suitable for teams ranging from small projects to large annotation and LLMOps operations.

TL;DR

Datasaur is an NLP data labeling and LLMOps platform combining Data Studio annotation with multi-model LLM Labs to accelerate labeling and cut costs by up to 70%.

Company overview

Datasaur is a data labeling company that began with specialized NLP annotation and expanded into LLM operations. It serves data scientists, ML engineers, and AI researchers who need efficient labeled data and LLM workflows.

The company now markets two complementary products, Data Studio for NLP labeling and LLM Labs for LLM app development, unified by a multi-model strategy that emphasizes model choice and cost efficiency.

Product features

Data Studio supports NLP labeling tasks like classification, NER, and span annotation with team collaboration. LLM Labs adds tooling to build, evaluate, and deploy LLM applications and to use LLMs to accelerate labeling.

Datasaur's multi-model access spans providers like Anthropic, Meta, and OpenAI, and it advertises up to 70% cost savings and dramatically faster labeling timelines, with self-hosting available for enterprises.

Target market

Datasaur targets NLP and data science teams, AI researchers, and enterprises that need scalable text annotation and LLM application workflows.

Buyer personas

End users

Data labelers, data scientists, and ML engineers.

Buyers

Data and ML leaders investing in labeling and LLMOps.

Key influencers

NLP researchers and annotation team leads.

Ideal customer profile

NLP-focused data science and ML teams that need efficient, multi-model text labeling combined with LLM application development and evaluation.

Funding & performance

Datasaur has raised venture funding; specific amounts should be verified with the vendor.

Pros & cons

Pros

  • Combines NLP labeling and LLMOps
  • Multi-model access reduces cost
  • Free tiers on both products
  • LLM-assisted labeling speeds projects
  • Team collaboration features
  • Self-hosting available

Cons

  • Two products can be confusing to navigate
  • Higher NLP tiers are enterprise-priced
  • LLM cost savings depend on usage
  • Focused on text, not vision/audio
  • Learning curve for full platform

Pricing plans

Free
$0
  • Free NLP labeling tier
  • LLM Labs pay-as-you-go
  • Multi-model access
  • Core annotation tools
LLM Labs Growth
$500 / month
  • Full LLM Labs features
  • Multi-model labeling
  • Higher usage
  • Team collaboration
Enterprise
Contact / month
  • Custom NLP and LLM plans
  • Self-hosting
  • SSO and security
  • Dedicated support

Key features

API
Team collaboration
Self-hosted
Multi-language
Integrations
OpenAI, Anthropic, Meta Llama, Python, REST API
Input types
text
Output types
text
Best For
NLP annotation, LLM-assisted labeling, Building LLM apps

Compare key features

View all alternatives →
Feature
Datasaur
Label Studio
Labelbox
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
Yes
Yes
No
API
Yes
Yes
Yes
Self-hosted
Yes
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

What are Datasaur's two main products?+

Data Studio for NLP labeling and LLM Labs for building and evaluating LLM applications.

How does Datasaur reduce costs?+

Its multi-model approach lets teams choose among many LLMs, cutting costs by up to 70% and speeding labeling.

Is there a free plan?+

Yes, both NLP Labeling and LLM Labs have free tiers.

Which models can I use?+

Datasaur provides access to models including Claude, Llama, and GPT-family models.

Can Datasaur be self-hosted?+

Yes, Datasaur offers self-hosted deployment options for enterprises.

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