If you want to learn more about us, you’re in the right place. Read to learn how we managed to grow our business so fast.
Our goal is to make autonomous driving as safe as possible. This can be done by evaluating testing data for neural networks. Our aim is to reach 100% correctness in evaluating images and LiDAR point clouds to train neural networks the way they should be trained.
Launched in 2015, Incenda AI realized the importance to train neural networks with a high quality data set. Discovering that many companies striving for precise artificial intelligence are overlooking the importance of correct training data, we as a startup have the vision to provide 100% flawless and accurate evaluation for our customers.
Always remember: A neural network can only be as good as its training data.
With years of experience and hundreds of thousands of images being evaluated by our team, we understand how the quality assurance process needs to look like. Based on this we continuously are improving and developing our tools to make things more efficient.