Pioneered at MIT and proven at Fortune 500 companies, Cleanlab provides the world's most popular Data-Centric AI software.

Most AI and Analytics are impaired by data issues (data entry errors, mislabeling, outliers, ambiguity, near duplicates, data drift, low-quality or unsafe content, etc); Cleanlab software helps you automatically fix them in any image/text/tabular dataset. This no-code platform can also auto-label big datasets and provide robust machine learning predictions (via models auto-trained on auto-corrected data).

What can I get from Cleanlab software?

1. Automated validation of your data sources (quality assurance for your data team). Your company's data is your competitive advantage, don't let noise dilute its value.
2. Better version of your dataset. Use the cleaned dataset produced by Cleanlab in place of your original dataset to get more reliable ML/Analytics (without any change in your existing code).
3. Better ML deployment (reduced time to deployment & more reliable predictions). Let Cleanlab automatically handle the full ML stack for you! With just a few clicks, deploy more accurate models than fine-tuned OpenAI LLMs for text data and the state-of-art for tabular/image data.

Turn raw data into reliable AI & Analytics, without all the manual data prep work.

Most of our cutting-edge research powering Cleanlab tools is published for transparency and scientific advancement:  cleanlab.ai/research/

AI/ML

Analytics

Data

Enterprise Software

Software Engineering

Cleanlab

Cleanlab's headquarters in San Francisco, CA, United States

This department develops and implements machine learning and artificial intelligence solutions.

Artificial Intelligence Engineering

The Engineering team at Cleanlab is responsible for developing and maintaining the company's Data-Centric AI software. This includes tasks such as creating algorithms to automatically correct data issues, developing the no-code platform for easy auto-labeling and machine learning model deployment, and ensuring the seamless integration of cleaned datasets into clients' existing workflows. They leverage advanced machine learning techniques to improve data quality and robustness, facilitating more accurate and reliable AI and analytics outcomes.

Engineering

The Leadership Team at Cleanlab is responsible for guiding the company's strategic vision and operational excellence. They oversee product innovation, research advancements, and market expansion. With expertise ranging from technology and design to science and sales, the team ensures Cleanlab's solutions effectively address data issues, enhance machine learning deployments, and maintain the company's position as a leader in data-centric AI.

Leadership Team

This department oversees the strategic direction and policy-making for the organization, ensuring compliance and effective leadership.

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Engineering

Leadership Team

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