AI has a lot to learn
to be accurateto be trustworthyto go faster to productionData excellence is the foundation of better AI. With Kili's Training Data Platform, streamline the process from raw unstructured data to high quality training data, at scale.
Deliver on the promises of AI, quickly
Kili is where good data lives and grows. Kili is how your organization delivers on the promises of Enterprise AI, efficiently and at scale.
They trust us on their data-centric journey
Build data that is better
AI is only as good as the data that trains it. Kili gives you the tools your organization needs to transform any data into better data. From programmatic labeling, to label auditing and consensus scores, Kili helps you build better training data.
Learn moreIterate on data that is smarter
To deliver high performing models, you don’t need more data, you need better data. With Kili, leverage model performance feedback and machine automated labeling to improve and iterate on training data, continuously.
Learn moreCollaborate on data you can trust
Kili is built for teams, from those that build, train, and test models, to those that drive Enterprise AI. With collaborative and customizable annotation interfaces for both coders and clickers, Kili leaves no one out of the loop.
Learn moreSee how Kili can help you in your role

ML Engineers
Ship more successful projects in less time with simple UX, smooth workflows and the ability to handle any and all data.
Industrialize data labeling via cross team collaboration and production of quality data to feed your models.

Project Managers
Facilitate intuitive collaboration between business experts and tech teams to produce quality data.
Manage resources within a smooth & controlled process and integrate different users, including non-technical, at the right moment for maximum impact.

Product Leaders
Improve performance of AI projects and ship successful projects on time by using data to unlock and harness the expertise already present in your business.
Mitigate the risk of running an unreliable and unethical AI.

AI Leaders
Industrialize data labeling via cross team collaboration and production of quality data to feed models.
Gain control over data spread across your organisation and simplify the model training iteration loop.
Free your teams from the low value task of labeling.

IT Leaders
Build the data labeling infrastructure that can support scale with total security.
Ensure data security and governance: sensitive data is protected.
Simplify and rationalize your AI & data tech stack.

Data Scientists
Industrialize data labeling via cross team collaboration and production of quality data to feed your models.
Access to professional external data labeling workforce matching data security requirements.
Unlock broader projects through growing data capabilities.

CXOs
Improve performance of AI projects and ship successful projects on time by using data to unlock and harness the expertise already present in your business.
Mitigate the risk of running an unreliable and unethical AI.