Build and scale high-quality training data 10x faster

Whether your team is made up of hundreds of annotators, a handful of subject matter experts, or a mix of both, Kili adapts to your organization’s structure. Easily configure workflows to match your team’s hierarchy and quality strategy — from multi-step reviews and inter-annotator agreement to expert-only validation loops. Define roles, responsibilities, and work distribution to maximize throughput without compromising accuracy. Collaboration becomes seamless as large workforces and domain experts work together — or review each other’s work — to consistently deliver high-quality labeled data.

Automate your labeling operations and accelerate iteration cycles with the Kili API. Streamline data flows across your entire ML ecosystem — from data sources to training pipelines — with powerful automation and orchestration capabilities.

Import batches of raw data or model inferences for human review, automate task routing with custom rules, and export labeled datasets directly into your training workflows. Kili integrates effortlessly with your existing tools and platforms through APIs, webhooks, and plugins, ensuring tight feedback loops and continuous improvement across your labeling, training, and deployment processes.