Why TensorPix?
We choose the name TensorPix as a combo of words: Tensor and Pixel.
In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects related to a vector space.
Yes, it sounds complicated, but it's actually one of the core concepts that enable AI to create new and improved pixels in your image or video, and make them look more natural and pleasant to watch.
TensorPix journey started back in 2020 when co-founders Bartol and Branimir roughly sketched the automated video enhancing idea over a friendly drink (or two... ok, maybe it was closer to five).
Both with a master's degrees in engineering and years of experience with AI and machine learning, they started to work on developing video and image enhancing algorithms. The project quickly led to running a fast growing startup.
We have two main goals
While we have a lot of internal metrics we try to optimize, there are two main goals that we prioritize above all else
Make sure that AI improves video and image quality everyday in order to guarantee you highest quality results.
Optimising the user interface in order to provide you a simple and pleasant experience, so it will be a joy for you to enhance many of your videos and images.
TensorPix team
Meet the team that is working hard to make TensorPix the best video and image enhancer on the market.
If I'm not selling or networking, I'm probably jumping out of a plane, doing loops in my acrobatic plane, or scuba diving around sharks.