OUR FOUNDATIONAL MODEL

Transformer/Diffusion models of AI, like today’s traditional LLMs, are expensive to run and require enormous amounts of data to train--which is why so many companies have resorted to illegally scraping data from the internet without compensating the owners.

LLMs function like the predictive texting on your phone. But to be successful at scale they need huge amounts of computing power and almost endless amounts of data.

There is a better way.

By harnessing archaic mathematical principles and combining them with cutting edge neural network design, INCANTOR has created a model that requires very little data or computing power. Our approach to teaching the AI was inspired by the human brain and trained on our own copyrighted materials.

While we’ve already achieved performance orders of magnitude over incumbent AI companies, we feel the most important attribute is that unlike LLMs, our AI easily facilitates attribution of source material. We don’t do this just to avoiding issues related to copyright infringement or GDPR. We do it because it’s the right thing to do. None of our data is scraped - all of it is owned.

For more about Attribution and our Revenue Sharing Program, Click Here.