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Fast, Easy, Powerful Data Labeling

From one-click batch pre-annotations to insightful quality metrics, Kili Technology has all the features to empower data scientists and data labeling teams to build high-quality datasets, fast.

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Trusted by data scientists worldwide

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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Create training datasets fast

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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Simplify your LabelingOps

The simplest way to get your data labeled

No time to assemble your data labeling team? Get ahead of the game with our expert labeling workforce. We can launch your project in 48 hours. Hiring our service is the easiest way to have your dataset labeled with a 95% quality guarantee.

“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.”

Evi T.
Evi T.

"Great companies like Kili Technology, [...] have already adopted this data-centric AI approach."

Andrew Ng
Andrew NgData-centric AI Influencer

"Kili, the training data platform, is bringing added value in the management of our projects and this is quality."

Gilles Henaff
Gilles HenaffHead of AI, Thales Las France

"Kili enables us to improve our models’ performance and scale our AI projects as fast as our business needs."

Andrea Colonna
Andrea ColonnaHead of Data, Jellysmack

"We are very satisfied with our collaboration with Kili. We saw a performance improvement of our model of 3.5%"

Marie de Léséleuc
Marie de Léséleuc Director of Analytics and Data Science, Eidos-Montréal
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