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.
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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

Quote from Steven Gawthorpe, Associate Director of Data Science at BRG:

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. With thousands of employees, this firm is an integrated group of experts, industry leaders, academics, data scientists, and professionals working across borders and disciplines.
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Graph showing results achieved with Cleanlab on a real dataset
Graph showing results achieved with Cleanlab on a real dataset

How Cleanlab can help your consulting team

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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.

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Efficiently annotate data for a client, or help them set up an effective data labeling pipeline.

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Issue detection is based on state-of-the-art AI algorithms invented by Cleanlab scientists.

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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.

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Fix detected data issues quickly via the Cleanlab Studio interface, or inform client which data requires careful review.