Kili Technology provides a collaborative data annotation and management platform for creating, refining, and evaluating high-quality datasets used to train and fine-tune AI models.
Kili Technology is a data-centric AI platform designed to help teams create, manage, and improve high-quality training datasets for machine learning. It provides a collaborative environment for annotating and curating data used to train, fine-tune, and evaluate AI models, with a focus on reliability, traceability, and scalability. The platform supports the full lifecycle of dataset creation, from initial labeling to continuous improvement in production settings.
Kili offers a robust annotation interface supporting images, text, video, audio, and documents, with tools for bounding boxes, polygons, keypoints, segmentation, classification, OCR, and more. It includes advanced quality-control workflows such as consensus labeling, review queues, disagreement analysis, and annotation guidelines enforcement. The platform integrates with MLOps stacks and cloud storage, exposes an API and SDKs for automation, and supports model-in-the-loop labeling via active learning and pre-labeling. Role-based access control, audit logs, and on-premise or private cloud deployment options address security, governance, and compliance requirements.
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