Kili's collaborative image annotation platform enables data science teams and domain experts to work together seamlessly—from labeling through validation—ensuring your computer vision models are built on real expertise, not just technical assumptions. Trusted by industry leaders to deliver production-ready AI 30% faster.
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Enable radiologists, quality engineers, and subject matter experts to validate AI outputs directly—no ML degree required. Kili's intuitive interface allows thousands of images to be processed and reviewed with ease by non-technical users, while data scientists maintain technical control. When experts validate directly, you eliminate bottlenecks and build AI that actually understands your domain.
From bounding boxes to semantic segmentation with SAM 2, Kili provides the precision tools your team needs for sophisticated computer vision tasks. One platform handles diverse annotation requirements. Whether you're annotating medical imaging, satellite data, or manufacturing quality inspection, Kili's customizable workflows adapt to your specific needs.
Handle 500+ concurrent users and launch 100+ use cases across modalities with proven enterprise scalability. On-premise deployment options and security standards enable government, healthcare, and defense clients to annotate sensitive data with confidence. Built-in project management eliminates the need for engineering customization, so your team can focus on building better models instead of maintaining infrastructure.
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You can also check out our documentation to learn more about our features. We're ready when you are.
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Learn how Kili Technology has changed the way these teams train, fine-tune, and evaluate their models.
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