Pricing | Cleanlab

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Cleanlab Open-Source

GitHub

Limited Python API Access

Automatically detects issues

No auto-fix

Learn more

Cleanlab Studio

Free trial

No code / ML engineering needed

Web interface and API access

Auto-fix data issues

Image, text, document, and tabular data

AI-automated data labeling

Trustworthy Language Model (TLM)

Analytics

AutoML model training/deployment

Contact sales

Cleanlab Studio Enterprise

Contact sales

Everything in free trial

More ML and data correction tasks

Project-optimized AutoML

Image segmentation

Object detection

VPC and cloud integration

Hosted deployment / inference

Priority for new feature requests

Scale to massive datasets

Dedicated support engineer

Book demo

* Per-token pricing for Trustworthy Language Model (TLM) is also available. Contact sales to learn more.

Compare plans

Find the plan that fits your business needs.

Open-Source

Documentation

API access

Finds data and label issues

Support for image, text, and tabular data

Slack community of 1000+ ML engineers and data scientists

Support for audio, video, and PDF

Image segmentation and object detection

Free Trial

Start free trial

API access

Finds data and label issues

Support for image, text, and tabular data

Slack community of 1000+ ML engineers and data scientists

No code and no ML engineering needed

Supercharged AI-automated data labeling (10x faster)

Train reliable ML models and LLMs

Find and remove ambiguous data

Find and fix near-duplicate data

Find and filter low-quality images and text

Find and filter inappropriate content (PII, toxic language, slang, NSFW images)

Find and fix out of distribution and outlier data

1-click AutoML model training and deployment

Trustworthy Language Model (TLM)

Enterprise

Contact sales

API access

Finds data and label issues

Support for image, text, and tabular data

Slack community of 1000+ ML engineers and data scientists

No code and no ML engineering needed

Supercharged AI-automated data labeling (10x faster)

Train reliable ML models and LLMs

Find and remove ambiguous data

Find and fix near-duplicate data

Find and filter low-quality images and text

Find and filter inappropriate content (PII, toxic language, slang, NSFW images)

Find and fix out of distribution and outlier data

1-click AutoML model training and deployment

Trustworthy Language Model (TLM)

Support for audio, video, and PDF

Image segmentation and object detection

Scale to massive datasets

Monitor additional data for issues as it comes into data store

On cloud, on premises, VPC (virtual private cloud), and cloud integration options available

Priority for new feature requests

Dedicated support engineer

Commercial license of Cleanlab Open-Source available

Open-Source

Documentation

Free Trial

Start free trial

Enterprise

Contact sales

API access

Finds data and label issues

Support for image, text, and tabular data

Slack community of 1000+ ML engineers and data scientists

No code and no ML engineering needed

Supercharged AI-automated data labeling (10x faster)

Train reliable ML models and LLMs

Find and remove ambiguous data

Find and fix near-duplicate data

Find and filter low-quality images and text

Find and filter inappropriate content (PII, toxic language, slang, NSFW images)

Find and fix out of distribution and outlier data

1-click AutoML model training and deployment

Trustworthy Language Model (TLM)

Support for audio, video, and PDF

Image segmentation and object detection

Scale to massive datasets

Monitor additional data for issues as it comes into data store

On cloud, on premises, VPC (virtual private cloud), and cloud integration options available

Priority for new feature requests

Dedicated support engineer

Commercial license of Cleanlab Open-Source available

I've found that the app corrects mislabelling very well, but I didn't get the results I was looking for when I used your open source library Cleanlab directly in Python. It turns out that your app on the web version works much better than the library in Python!

Yiwen Jiang | Data Engineer at Orange

Question: There’ve been many Model-Centric breakthroughs that have excited and inspired the field. What are some of your favorite examples of Data-Centric breakthroughs or wins that will inspire the field?

Answer: “The Cleanlab stuff out of MIT”

Andrew Ng, Keynote talk at ICML 2023 Workshop on Data-Centric Machine Learning

Cleanlab Studio is a very effective solution to calm my nerves when it comes to label noise!

Fredrik Olsson | PhD. Head of Data Science at Gavagai

I got significantly better results using Cleanlab Studio than the cleanlab open-source package, mainly because it’s so much easier to use.

Lukas Lodes | AI Researcher at AIMotion Institute

Manually inspecting and fixing potential label errors can be time-consuming. We can train a better model using Cleanlab to filter noisy data.

Cher Simon | Principal Solutions Architect at Amazon AWS

We used Cleanlab Studio for document curation and saved our legal clients millions of dollars. Using Cleanlab in litigation discovery, we can accomplish with 5 lawyers what previously required 50 lawyers.

Steven Gawthorpe, Associate Director of Data Science at Berkeley Research Group

Yiwen Jiang | Data Engineer at Orange

Answer: “The Cleanlab stuff out of MIT”

Andrew Ng, Keynote talk at ICML 2023 Workshop on Data-Centric Machine Learning

FAQs

Can I do _ _ _ _ with your software? Accordion Arrow

Start by looking through our documentation. If you don’t find what you’re seeking, do note that: Cleanlab provides significantly more functionality for Enterprise customers than is available in the generally available public version of our software. Learn more in a demo.

How can I best use your software in my Data / AI projects? Accordion Arrow

For Enterprises, we offer Proof-of-Value services where our engineers will run the software on your data to show you why thousands of data scientists across all industries use Cleanlab software. Learn more in a demo. We also offer non-AGPL licenses for the Open-Source packages that come with support from our engineers, as properly using these packages requires ML expertise.

How does Cleanlab Studio compare to existing software and fit into my workflows? Accordion Arrow

Since Cleanlab Studio is a novel type of Data-Centric AI platform based on years of research from our team, it can be tricky to understand in terms of existing tools (no other tool like this exists). Read our blogpost that situates Cleanlab Studio in the landscape of existing software tools and Data/AI workflows.

Where can I learn more about the differences between Cleanlab Studio and the Open-Source package? Accordion Arrow

Read our blogpost that details the differences.

Do you offer discounts for academic research and small startups? Accordion Arrow

Absolutely, we enthusiastically support research (and publish a lot ourselves) and new innovative organizations. Just email: sales@cleanlab.ai

Can one person really handle: labeling & curating a big dataset + training and deploying a reliable ML model on it? Accordion Arrow

Absolutely, there have been many stories of a single data scientist or engineer building deployed ML applications from scratch at their company in days. This is possible because Cleanlab Studio automates lots of the work for you, leaving you to only handle the most impactful decisions (and you can do it all without having to write code). Cleanlab Studio offers automated support for: data labeling, data issue detection and correction, ML model training with hyperparameter-tuning and model-selection, and ML model deployment to serve predictions.