Data Quality
Makes or Breaks Your AI

They trust us on their data-centric journey

Integrate quickly

Turn your Machine Learning workflow in a Data-centric AI workflow within 5 minutes. Integrate high-quality training data selection, data labeling and data annotation in your ML workflow with 5 lines of code. Annotate all data types in fast iteration cycles.

Create training datasets fast

Annotate all types of unstructured data rapidly and accurately with customizable annotation tasks & an interface optimized for productivity & quality. Automate labeling to save time with smart tools & model predictions.

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Find & fix issues in your ML datasets

Supervise quality level & improvements to ensure low-error datasets. Simplify advanced collaboration workflows. Leverage programmatic QA. Explore your datasets and identify the data that matters.

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Simplify your LabelingOps

Integrate natively with your ML stack, easily orchestrate your data pipeline, structure projects & user management, and manage the entire data lifecycle of your ML project on Kili.

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Augment your team

Get ahead of the game with expert labeling workforce. Strengthen your project management & ML teams with Kili experts.

Talk to sales

“One of the fantastic aspects of this platform are the quality monitoring features, which make it easier to ensure that the labeled data is accurate and reliable.”