Kili Technology

Kili Technology is for AI and data teams that need to create reliable training datasets or check model outputs with human review. It organizes labeling projects for images, video, text, PDFs, audio, and geospatial data, including tasks such as image classification and object detection, text classification and named-entity recognition, and transcription. Teams can define project-specific labeling instructions and categories, import model predictions as pre-labels for people to review, and route work through multiple labeling and review stages. Consensus workflows let several people label the same asset so teams can compare their judgments and resolve disagreements. The platform also supports evaluating model outputs against criteria set by the team, creating validated datasets for training, fine-tuning, or testing AI models. Kili Technology may suit organizations managing ongoing or multi-project annotation work, especially when they need structured quality checks and collaboration between labelers, reviewers, and domain experts. Projects can be managed through the web interface or programmatically with the Python SDK and API, and completed labels can be exported for use in model-development workflows.

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