One platform to get you the data you need.
Kognic is developed with one key goal in mind: increasing annotation productivity.
With a wide support for specific use cases, guided workflows, and refinement tools, we make it possible to reduce costs while increasing quality.


Supports all your annotation needs
Kognic can handle many types of data labeling. Our main goal is to make the labeling process easier and faster for all kinds of applications.
Our software can handle everything from simple still objects to rare complicated situations.
Leverage your auto-labels
Co-pilot uses imported predictions as prompts for our automation features, significantly reducing annotation time without compromising quality.
This way, we enable more efficient human feedback where it's needed most.
Refine what matters most
Break free from the costly habit of correcting entire data batches. Focus on the data that truly impact your AI's performance with smart sorting and advanced filtering.

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“Kognic has a very talented team who understands the problems of automated vehicles' safety, sensor fusion, and large-scale data processing. Their platform, scalability and quality make them our preferred partner.”
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"Kognic’s high-quality data labeling capabilities have helped Kodiak to further its commitment to creating a safer and more efficient future for autonomous trucking and robotics."
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"Across multiple missions, engaging with our global teams, to execute demanding use cases, our teams at Bosch have found the Kognic platform to be reliable and efficient, and their team’s responsiveness has been top-notch."

Handling your volumes with ease
Kognic empowers your teams to manage large-scale, multi-sensor datasets efficiently.
As the volume of data from diverse sensors like cameras, radar, and LiDAR grows, so do the demands on annotation tools. Kognic has consistently adapted to support this expansion, enabling you to harness the power of your proprietary data.


Annotating has never been faster
Machine-assisted tools
Kognic accelerates annotation by automating tasks.
Our box drawing tool exemplifies this efficiency: annotators select a class, place two points to define object dimensions, and a cuboid automatically appears.
This reduces manual effort and boosts overall annotation speed.

Guided Workflows
Guided workflows enhance the annotation process by utilizing automation in an effective sequence.
This organized approach maximizes efficiency and reduces errors.
By directing annotators through set steps, these workflows ensure consistency across teams and projects, speeding up the annotation process and enabling teams to manage larger datasets.

Checker Apps
Checker Apps automatically identify and flag annotation issues in real-time.
These applications can detect a wide range of potential errors, from basic geometric inconsistencies to complex relationship violations between objects.
With over 90 different checkers available, including both generic and customer-specific validations, our Checker Apps ensure your annotations meet the highest quality standards before submission.



Enterprise-ready
Kognic is developed for global-scale missions.





To help enterprises successfully onboard and reach the highest levels of platform efficiency, Kognic provides Expert Advisory Services to guide your teams in leveraging proprietary data advantages through our leadership in Machine Learning.
Your team's knowledge base can also be enhanced through self-served training via Kognic Academy - where we provide resources to help Dataset Engineers master our platform, from annotation to task configuration.

