Simplify your LabelingOps
Integrate labeling operations on Kili technology with your existing ML stack, datasets and LLM. Easily import and export data, create and manage labeling projects, and manage the entire training data lifecycle of your ML project on Kili. Use the CLI & our SDK to upload and download vast amounts of data quickly.
They trust us on their data-centric journey
Import & export data effortlessly
Integrate cloud storage (Amazon, Google, and Microsoft) to automatically start labeling without having to move your data. Track all the intermediary changes in your data and export versioned data directly in the format of your model (YOLO, PASCAL VOC, etc). Leverage our Python SDK to easily integrate with LLMs.
Manage your team at scale
Easily assign predefined roles (admin, manager, reviewer, labeler) to control users’ responsibilities in projects. Authenticate with specific identity providers for maximum convenience and security. Ensure the highest level of data governance & security.
Automate your MLOps pipelines
Use webhooks to take specific actions like starting a model training, performing active learning to generate pre-labels or versioning. Create a feedback loop between your model experiments and newly produced labels. Leverage Kili API and Python SDK to connect any ML stack.
"Kili's customer support is best in-class. We solve issues much faster and it has a direct impact on our performance."
"Great companies like Kili Technology, [...] have already adopted this data-centric AI approach."
"Kili is bringing added value in the management of our projects and this is quality."
"Kili enables us to improve our models’ performance and scale our AI projects as fast as our business needs."
"We are very satisfied with our collaboration with Kili. We saw a performance improvement of our model of 3.5%"
Kili at work
Discover how Kili is helping companies in different sectors build responsible, effective AI on a foundation of good data.