A vision model that scores well offline still has to be right on your parts, scenes and imagery in production. Kili puts its predictions in front of the experts who can tell, records every correction they make, and returns them through the API for AI evaluation, post-training and data annotation.
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Find the defects and edge cases your model misses while they are still cheap to fix. Its predictions go to the quality engineers and imagery analysts who know your parts and scenes, and they confirm or correct each one. Every correction becomes data your next model version learns from.
Video doesn't multiply your experts' workload. Specialists judge the frames where something changes, Kili carries their calls across the rest of the clip, and reviewers step in only where tracking drifts. Your video data meets the same review standard as your still images, without a separate process to run.
Prove the model on a pilot, then scale it without moving imagery outside your rules. Pilot on SaaS / Hybrid with images in your own cloud bucket, then run production on your own Kubernetes, with no internet access needed after installation. SOC 2 Type II and ISO 27001 certified, HIPAA compliant.
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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