The most productive annotation platform for sensor-fusion data.
The Kognic software is developed with one key goal in mind: reducing annotation effort.
By enabling all Embodied AI use cases, introducing innovative workflows, and empowering customers to refine their data effectively, we make it possible to reduce costs while maintaining quality.
Support 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 Embodied AI applications.
Our software can handle everything from simple, still objects to rare complicated situations.
Leverage 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.
• Reduce annotation time by up to 68%
• Currently supports 2D boxes and 3D cuboids
• Experience fast, high-quality annotations
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.
- Smart sorting based on model confidence and loss metrics
- Advanced filtering of predicted and annotated objects
- Effortless creation of data chunks for targeted review
-
“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.”
-
"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."
-
"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's platform 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's toolbox 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 streamlines the process, reducing manual effort and boosting overall annotation speed.
Co-pilot Workflows
Co-pilot workflows enhance the annotation process by utilizing Kognic's automations 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 are powerful quality control tools that 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.
Centralized workspace for multi-account and team managementCustom support and specialized training
Enterprise security with ISO and TISAX certifications
Self-serve tools for team onboarding and data management
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.