Kognic
@kognic.com
Human-in-the-loop annotation for autonomous vehicles. Scalable feedback that integrates into your data flywheel. Trusted by Continental, Qualcomm.
Kognic's Company Logos


Kognic's Brand Colors
Hex Code
Color name
RGB
HSL
CMYK
#0A0D19
Ebony
10, 13, 25
228, 43, 7
60, 48, 0, 90
#FF9583
Vivid Tangerine
255, 149, 131
9, 100, 76
0, 42, 49, 0
#15295A
Blue Zodiac
21, 41, 90
223, 62, 22
77, 54, 0, 65
About Kognic
Kognic is a pioneering brand in the field of software and analytics, specializing in perception analytics and ground-truth platforms for the automotive industry. With their powerful software, they provide a comprehensive solution for gaining insights into the quality metrics and key performance indicators (KPIs) of datasets, allowing for a comparison of the ground truth to sensor output. Their Perception Analytics product offers advanced analytics capabilities, enabling users to delve deep into important metrics and datasets.
This empowers businesses to make data-driven decisions and achieve valuable and actionable insights. Moreover, their Ground-Truth Platform is designed to deliver high-quality and safe perception data, specifically tailored for the automotive industry. It offers scalability and cost-efficiency, making it an ideal solution for companies in need of reliable perception data.
Through an in-depth podcast interview with Daniel Langkilde, Kognic's CEO and Co-Founder, the brand showcases its commitment to the advancement of autonomous driving solutions. Kognic's expertise in handling data securely is highlighted through their adherence to GDPR and data security policies. They are also ISO certified, ensuring processes and quality work that meet the needs of clients and stakeholders.
With Kognic, businesses can confidently navigate the road to autonomy with cutting-edge software solutions and comprehensive data insights
Company type
Privately Held
Year founded
2018
Company size
51-200 employees
Related Brands
Tags
Autonomy data annotation
Multi-sensor 3D labeling
LiDAR point cloud annotation
LLM-assisted auto-labeling
Human-in-the-loop QA
