Cavenwell was started with the idea that reasoning about complex systems and products can be automated in a transparent and explainable way. The core Cavenwell AI was designed and implemented through deep research into advanced Applied Mathematics and Artificial Intelligence. We are partnered with Conexus.ai, a software company based out of Massachusetts Institute of Technology.
Our Innovative Technology
Cavenwell Industrial AI was developed using advanced tools in Category Theory for Probability. It uses state of the art Applied Mathematics. Our software is capable of consuming arbitrary data sets and learning the best possible theory from them. Users can interact with the theory by posing hypotheses and goals to the AI. The software returns with clear answers as to whether the data support the hypotheses or how to achieve one's goals.
"...most of us have little visibility and knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning is being applied......The lack of explainability and trust hampers our ability to fully trust AI systems. We want computer systems to work as expected and produce transparent explanations and reasons for decisions they make. This is known as Explainable AI (XAI)."