Data Science and Analytics Consulting
Use AI solutions from Cleanlab to improve your clients’ data and build/deploy robust models. Find errors in clients’ data, inform them which data needs review, train/deploy robust ML models, and efficiently annotate client data.
Case StudyBerkeley Research Group, LLC (BRG)
15%
improvement in ML model accuracy
1/3
reduction in time spent on data/ML work Results achieved using Cleanlab Studio
We’ve started relying on Cleanlab to improve our ML and AI models at Berkeley Research Group LLC for over a month... I have to say, I’m impressed. Here’s what we found:
· Increased model accuracy by 15%
· Improved explainability & addressed performance impediments
· Cut out training iterations by one-third
· Overall performance improvement for our Data Science team
Berkeley Research Group is a global consulting firm that helps leading organizations advance in three key areas: disputes and investigations, corporate finance, and performance improvement and advisory.
How Cleanlab can help your consulting team
Automatically detect issues in a client’s data such as incorrect values, anomalies, bad metadata, etc. Consider if using software to audit data for mistakes is helpful for compliance.
Efficiently annotate data for a client, or help them set up an effective data labeling pipeline.
Issue detection is based on state-of-the-art AI algorithms invented by Cleanlab scientists.
Easily train robust ML models on messy real-world datasets and deploy them in 1-click. Cleanlab uses Data-Centric AI to produce reliable models, learn more about these techniques via the free MIT course taught by the Cleanlab founders.
Fix detected data issues quickly via the Cleanlab Studio interface, or inform client which data requires careful review.
Videos on using Cleanlab Studio to find and fix incorrect labels for:
Related applications
Foundation and Large Language Models
Boost fine-tuning accuracy and reduce time spent
Data Annotation & Crowdsourcing
Find the optimal consensus label and quality of each annotator.
Data Entry, Management, and Curation
AI expert review of your data stores to find errors or incorrect labels.
Business Intelligence / Analytics
Correct data errors for more accurate analytics/modeling enabling better decisions.
Customer Service
Fix common issues in customer data, and deploy robust ML models to better understand customers and handle their requests.
Content Moderation
Train more accurate content moderation models in less time.
Cleanlab Studio auto-corrects raw data to ensure reliable analytics so you can make good decisions.
cleanlab studio automatically improves data and deploys robust models
In this tabular dataset of student grades, Cleanlab Studio automatically detected label errors, ambiguous examples, and outliers. These issues harm downstream models and analytics.
Cleanlab Studio helps you quickly fix the detected issues to get a better version of your dataset. Use the auto-corrected dataset produced by Cleanlab in place of your original dataset to get more reliable ML and analytics, without any change in your existing code!
