We're thrilled to announce that Kognic has been honored with the Sensor Perception Solution of the Year award at the Tech.AD USA Awards 2023. This recognition validates our commitment to being the price leader in autonomy data annotation—helping customers get the most annotated autonomy data for their budget.
The Tech.AD USA Awards celebrate outstanding contributions in the automotive industry, and we're proud to be recognized as a frontrunner in sensor perception solutions. This award reflects our dedication to enabling autonomous systems developers to integrate scalable, cost-efficient human feedback into their data pipelines.
The Kognic Platform accelerates machine learning for safety-critical, embodied AI applications. Built by engineering physicists with deep expertise in sensor fusion and annotation workflows, our platform has become essential infrastructure for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving teams who need to train and validate systems that are safe, reliable, and aligned with human expectations.
Daniel Langkilde, our CEO and Co-Founder, emphasizes: "Machines learn faster with human feedback. As autonomy scales, the bottleneck shifts from collecting data to extracting the right signal from it. Kognic enables teams to do exactly that—turning human judgment into ground truth that machines can learn from, faster and more cost-effectively than ever before."
Our platform combines three critical elements that make us the price leader: our Platform optimizes every step of the annotation workflow with intelligent automation and co-pilots; our People provide domain expertise in multi-modal autonomy data with flexible, ethical workforce solutions globally; and our Processes coordinate scalable, high-quality data delivery through robust quality assurance and dynamic task allocation.
The Kognic Platform handles the complexity of sensor fusion—merging data from radar, LiDAR, and camera sensors—enabling intuitive visualization of complex sequences. This allows AI teams to efficiently explore, curate, and validate the datasets that matter most for their perception models, focusing human attention where it has the highest impact on model performance and safety.
Oscar Petersson, Co-Founder and CFO, notes: "Leading automotive companies recognize that data quality and efficiency are key differentiators in autonomous systems development. Kognic helps teams integrate cost-efficient human feedback at scale, enabling them to iterate faster and deploy safer systems."
We're committed to pushing the frontier of annotation for autonomy, helping our customers navigate the evolution from traditional labeling to more sophisticated tasks like trajectory evaluation, visual grounding, and preference ranking. As the industry moves forward, human feedback remains essential—not just for training models, but for validation, alignment, and building systems that meet the highest safety standards.
Thank you to Tech.AD USA Awards for this recognition. We look forward to continuing our work with automotive and robotics teams worldwide as they build the next generation of autonomous systems.