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.
Speak to our team for a free 14-day evaluation.
Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.
Customer stories from the programs that put this to work — with the numbers behind them.
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Stay up to date with fresh content from our team — tutorials, use cases, and ideas to help you train AI/ML models better.
Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.
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