AI has a lot to learn
to be accurateto be trustworthyto go faster to productionData excellence is the foundation of better AI. Kili's Training Data Platform is the solution to turn raw, unstructured data to high-quality training data, at scale.
Integrate quickly
Turn your Machine Learning workflow in a Data-centric AI workflow within 5 minutes. Integrate data selection and data labeling in your ML workflow with 5 lines of code.
They trust us on their data-centric journey
Create the highest quality training data
Create excellent training data by annotating well. Kili is designed to spot labeling errors before the data is used for training, and to identify the edge cases that can jump model performance from good to excellent.
Learn moreCollaborate seamlessly
Data centric AI is about collaborating as one. With collaborative features like permissions, reviewing, explore, Kili leaves no one out of the loop.
Learn moreBuild datasets for all use cases
Kili is a tool performing for all: AI teams that need to scale, enterprises willing that need manage and govern their training data, and practitioners willing to experiment with DCAI.
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.