Kodiak Robotics, a autonomous trucking company, has chosen Kognic’s data labelling platform to help it scale its annotation pipelines reliably and efficiently.
Kognic, itself, provides an annotation platform that supports sensor-fusion data in performance-critical AI applications, including autonomous driving. The platform optimizes datasets by merging incoming sensor data from radar, LiDAR, and cameras using intuitive interfaces for visualizing complex objects and sequences. Today, the solution is being used by a range of companies across the automotive industry, including suppliers like Qualcomm, Bosch, Continental and Zenseact who provide systems that power cars from global OEMs, such as BMW and Volvo Cars.
“Kognic’s high-quality data labeling capabilities have helped Kodiak further enhance our AI models, which are critical for the safe deployment of our autonomous trucking technology in real-world environments,” said Andreas Wendel, CTO at Kodiak, of the new partnership. “Kognic’s platform has a unique capacity to handle time-series data, which has improved our ability to reliably label multi-sensor data. Additionally, integrating Kodiak’s advanced pre-labeling capabilities with Kognic’s platform has allowed us to automate our AI annotation pipeline, building an AI flywheel and further improving the capability of our AI models.”
