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Ashish A.

Developer

Mid-Market (51-1000 emp.)

5/21/2025

"CleanLab: Best ML Modules Optimizer"

4.5/5

What do you like best about Cleanlab?

The best part of Cleanlab is it's AI models which optimizes any pretrained modules with great level of efficiency. Another best part is it's documentation, Any type of users can use Cleanlab by reading it's documentation. And TLM module is best, it optimizes any LLM. It's API feature helps the integration part much easier. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

As of now I find it a bit hard to dislike such great module. But still talking about it's dislike : It is expensive and some small startups may not afford it. Also, TLM doesn't do great with unstructured data. Review collected by and hosted on G2.com.

What problems is Cleanlab solving and how is that benefiting you?

I work as a Data Manager in a Company which works with US Healthcare Data. We train modules on Healthcare datasets. Cleanlab helps us identifies and flags incorrect labels. The modules we train sometimes misinterpret the inputs. Here Cleanlab plays a vital role. This optimizes our ML modules and also helps to identifies outliers. In general Cleanlab helps us with optimizing our AI models. Review collected by and hosted on G2.com.

Ritesh S.

Software Engineer

Mid-Market (51-1000 emp.)

5/16/2025

"Powerful label-cleaning with a slight learning curve"

4/5

What do you like best about Cleanlab?

Accurate error detection. The ability to automatically spot mislabeled and low-confidence examples has saved me countless hours of manual review.

Seamless pandas integration. Working directly on DataFrames makes it trivial to plug Cleanlab into existing preprocessing pipelines.

Clear, example-driven docs. The step-by-step tutorials helped me get up and running in under an hour. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

Initial setup complexity. Installing all dependencies (and configuring environments) can feel a bit involved if you’re just experimenting.

Performance on very large datasets. Label-error detection can be slow without additional tuning or sampling. Review collected by and hosted on G2.com.

What problems is Cleanlab solving and how is that benefiting you?

Cleanlab tackles the hidden “label noise” in your datasets—mislabeled, ambiguous or low-confidence examples that quietly drag down model accuracy. By automatically flagging and ranking these problematic records (and even suggesting which labels to trust), Cleanlab lets me:

Catch mistakes early, before they poison training, so my models learn from clean, reliable data.

Streamline data audits, turning hours of manual review into minutes of focused corrections.

Boost final performance, since models trained on higher-quality labels consistently deliver better accuracy and robustness.

Overall, Cleanlab empowers me to maintain a trustworthy, production-ready dataset with far less effort—and to iterate on models faster and with greater confidence. Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Mid-Market (51-1000 emp.)

8/14/2025

"A decent Large Language Model, if we are keen in tracking our responses with score basis"

3.5/5

What do you like best about Cleanlab?

Its scoring mechanism for all the generated responses is a great feature in amongst of GPTs. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

Context mapping check would have been better, along with the scoring mechanism. And report genertaion and mechanisim would have been a great tool if its included. Review collected by and hosted on G2.com.

nageen n.

Senior Software Analyst

Enterprise (> 1000 emp.)

4/19/2025

"The AI tools to easy my job to clean data from row to smart data set and help our team"

4/5

What do you like best about Cleanlab?

The time we spent in dataset to significanty decrese after using cleanlab. i would say its save lots of time. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

sometime it getting slow on large dataset but we have not so frequnt those dataset but yes there is need to improvment. Review collected by and hosted on G2.com.

Hemant R.

Architect Engineer

Small-Business (50 or fewer emp.)

5/6/2025

"Best and easy to use AI"

5/5

What do you like best about Cleanlab?

Easy to use. No much hardware setup is required and the way it helps in refining data & on the e-commerce side is wonderful. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

Nothing as such I can think of. need to look more into the product before making any statement. Review collected by and hosted on G2.com.

Ritesh P.

IT Manager

Small-Business (50 or fewer emp.)

4/6/2025

"Useful product"

5/5

What do you like best about Cleanlab?

The AI insights which are there which helps the person do the work in less time. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

The delay time is quite high sometimes it takes bit more time than usual Review collected by and hosted on G2.com.

Matt H.

Business Analyst

Consulting

Small-Business (50 or fewer emp.)

8/18/2024

"A Must Have Aid For Precise Language Data Annotation"

4.5/5

What do you like best about Cleanlab?

Cleanlab Studio’s big advantage lies in automating the finding of mislabeled data, a game-changer for our AI projects. It boasts an easy-to-use interface and strong algorithms that significantly reduce data cleaning time, thereby allowing our team to engage more on model development. What’s more, this has made it possible to improve workflows through seamless integration with existing data pipelines thus making maintenance of high-quality datasets easier. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

The main limitation is that there are no advanced customization options available for the purpose of cleaning up the data. In some cases where more detailed control would have been useful, although automated features can be very effective. Also, setting up initially may be somewhat complicated and requires some familiarization time with all these functionalities. Review collected by and hosted on G2.com.

What problems is Cleanlab solving and how is that benefiting you?

Mislabeled data is a major concern addressed by Cleanlab Studio which affects performance of machine learning models severely. This enhances model precision by automating validation and correction processes of its datasets reducing manual data checks lead times. Thus we have seen shorter time frames for project completion and higher customer contentment resulting into success because it aligns perfectly with our agency’s need for speed and accuracy. Review collected by and hosted on G2.com.

Abhishek Kumar M.

Student

Enterprise (> 1000 emp.)

3/27/2025

"Cleanlab Review: Enhancing Data Quality with AI-Powered Error Detection"

5/5

What do you like best about Cleanlab?

Automated Data Cleaning

Seamless Integration

Robust Error Detection

Improves Model Accuracy

Support Multiple Data Types Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

Computational Overhead

Steep Learning Curve

Dependence on Model Predictions

Not Fully Automated

Limited GUI Support Review collected by and hosted on G2.com.

Avanthi G.

Business analyst

Mid-Market (51-1000 emp.)

4/18/2025

"Powerful Tool"

4/5

What do you like best about Cleanlab?

Cleanlab automatically finds and fixes errors in any dataset. Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

None come to mind.Everything looks good and great. Review collected by and hosted on G2.com.

Verified User in Financial Services

Enterprise (> 1000 emp.)

12/14/2024

"must have in your tool kit"

4.5/5

What do you like best about Cleanlab?

lot of functionalities to play around with . That helps massively as we crunch data sets.very helpful community and support model Review collected by and hosted on G2.com.

What do you dislike about Cleanlab?

difficult to use but very handy once you get hang of it. Docuemntation is improving. The community is growing . Review collected by and hosted on G2.com.