Automate your data labeling with AI

Save time and money with AI and LLM-powered precision and efficiency. Datasaur offers numerous ways to automate your data-labeling process, saving our users up to 80% of their time and effort.

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

ML-assisted Labeling

Datasaur's ML-assisted labeling integrates with popular open-source models and top commercial providers alike to automate label application. Don’t waste time reinventing the wheel - from Amazon SageMaker to SpaCy and NLTK to Hugging Face  – we've got you covered!
Example use cases:
Row labeling
Span labeling

LLM-assisted Labeling

Harness the Power of Large Language Models. Utilize LLMs to automatically apply labels to existing data. Leverage top of the line models from OpenAI, Hugging Face and more or customize your own open-source model in Datasaur’s LLM Labs and create specialized prompts to apply specialized expertise to your labels.
Example use cases:
Row labeling
Span labeling

Data Programming

Innovative Data labeling Through Programming. Datasaur’s Data Programming feature enables you to create labels programmatically. It builds upon the popular Snorkel open-source library to support classification and span-based labeling projects alike. Tackle large datasets consistently with consistency and speed!
Example use cases:
Row labeling
Span labeling

Datasaur Dinamic

Custom Model Training made easy: with Datasaur Dinamic, train custom models effortlessly. This feature supports continuous learning and adaptation – apply model results to your raw datasets to further iterate upon and improve the model, or use the endpoint directly in production. Dinamic supports deploying models to both AWS and HuggingFace.
Example use cases:
Row labeling

Direct model integration

Your Models, Our Platform. Integrate your custom models with Datasaur for a tailored labeling experience. Review, validate and correct your model outputs to quickly iterate and improve upon your model.
Example use cases:
Row labeling
Span labeling

Advanced search capabilities

Find What You Need, Faster: Datasaur advanced search extension allows you to swiftly identify and label key data points, streamlining your workflow by eliminating repetitive tasks. Similar to the familiar Find and Replace function in Microsoft Office, Datasaur introduces an innovative "Find and Label" feature, simplifying and accelerating your data annotation process.
Example use cases:
Span labeling

Predictive Labeling

Predictive Labeling utilizes existing labeled data you provide to predict additional labels. Accelerate your own labeling!
Example use cases:
Row labeling

Label Error Detection

Introducing "spell check" for labeling. Datasaur will flag potential labeling errors, improving data integrity and model performance.
Example use cases:
Row labeling

Maximize your AI project's impact: Get expert guidance on goals and ROI.

Contact us or schedule a scoping session with our sales and see how Datasaur can be applied to your labeling projects.
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Struggling with labeling projects?

Say goodbye to labeling hassles! Datasaur streamlines NLP & LLM projects, saving your time and boosting productivity. Start your free trial for our product now!