The Kognic Platform provides enterprises a flexible toolset for sensor-fusion annotation; equips the ADAS/AD product owner with an efficient MLOps platform; and empowers enterprises to see minimized costs and optimized teams. Get a perfect balance between program cost and data quality while achieving safety-critical AI.
We help solve the hardest problems
Enterprises need to assemble efficient and flexible ground-truth data pipelines in order to create datasets, but challenges persist:
Let Kognic show you how you can move forward - accurately and iteratively — towards higher model performance that aligns your model output with your intent.
Our solution
End-to-end and top-to-bottom
The Kognic Platform is designed with your evolving dataset at its center and provides key capabilities – Explore, Shape and Explain – that quickly and accurately unlocks your data.
Supported by our industry-leading annotation engine, Kognic has critical tooling such as Multi-Sensor fusion, Data Refinement and Performance Analytics that have been proven in many ADAS / AD deployments.
We are thrilled to announce the launch of our latest feature, Image Similarity Search. This powerful tool helps you find interesting objects and improve your data models effortlessly.
The emergence of autonomous driving has marked a paradigm shift in the automotive industry. In this interview, we'll explore the current state of autonomous driving, its challenges, and the potential future in a podcast with our CEO, Daniel Langkilde.
A seasoned Kognician who has embarked on an incredible career journey, setting sail from the military, navigating the waters of machine learning, and anchoring his expertise as a Product Manager at Kognic.
The limitation of linear data pipelines is forcing many enterprises to rethink their processes, teams and methods of creating ground-truth. From two of our noted experts, read further to understand how iteration can be applied to your dataset.
The current way of working with annotation and perception in the automotive industry is broken. With a siloed approach and a long chain of processes, see how Kognic approaches this challenge. It's time to change!
