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.
Bit complicated, but this is one of the core concepts of AI and machine learning that powers all the technology we use in TensorPix. I believe you all already know what a pixel is...
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 expanded, leading 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:
A video you produce in TensorPix must be cinematic, engaging, and visually appealing.
Simple instructions and a few clicks should be enough to produce high-quality videos. The user should always know what to do next.
TensorPix team
Meet the team that is working hard to make TensorPix the best video making tool 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.
