Predictive Equations is on a mission focused on ethical technology development and implementation. Our goal is our technology is of benefit to the general public and private businesses, governments. We seek to build AI and tools to enable them, to enable medical research and diagnosis, as we believe everyone should have the ability to use the best medical data possible to enable treatment, legal representation and evidence enhancement to limit mass incarceration and enable fair and unbiased representation by both defendants and prosecutors. 

We also research best practice methods for technologies such as feature mapping and matching to enable context and high accuracy AI architecture, as well more potentially impactful technologies such as behavioral and facial recognition. Systems such as these are used to enable investigations as confidence checkers, and we are devoted to the idea that Artificial Intelligence should be built and designed to enable human decision making and actions, and insight, not to replace people, jobs. We believe the human is what makes the AI actually useful, and seek to have developed a dynamic system to leverage the above ideals.

We are also devoted to the ethical utilization of AI beyond just ethical implementation and best practices, but also with green initiatives such as utilizing renewable energy production methods, like solar arrays, to offset energy expenditure for our AI operations. Our goal is to eventually have all AI inference conducted and be a net positive on the energy and carbon emissions, as well as serving as a model for other companies that seek to do the same.