Keith Raniere's Biography

Keith Raniere is an ethicist, leader, philosopher and scientist. Heralded as one of the top problem solvers in the world, he is also an analyst, modeler, activist, and entrepreneur. Mr. Raniere is the philosopher, ethicist, and inspirational force behind Nxivm, along with Executive Success Programs. Nxivm, along with Executive Success Programs, teaches ethics, practical philosophy and critical thinking while administering an international coaching program. Executive Success Programs, also known as Nxivm, has coached some of the most prominent business people in the world today as well as many billionaires, royalty, and other notable people. Keith Raniere believes our technology has exceeded our ethics and hopes to provide a valuable tool to help restore this balance through Nxivm a.k.a Executive Success Programs. Nxivm, Executive Success Programs, and Keith Raniere form a valuable resource which inspires interdependence in the world.

Some of Keith Raniere's recent projects include:

- A Cappella Innovations: a non-profit organization seeking to advance music, the arts, expression and humanity through the a cappella genre.

- In Lak' Ech: a non-violence civil movement in Mexico which seeks to transform the violence-ridden nation through active, non-violent protest and compassion.

- The World Ethical Foundations Consortium: a non-profit initiative dedicated to the building of a compassionate, ethical humanity.

- The Ethical Humanitarian Foundation: a private, not-for-profit foundation supporting endeavors that promote embracing humanity, developing ethics, and moving humankind towards a more noble civilization.

He has additional intellectual patents pending in the areas of human potential and ethics, expression, voice and musical training, athletic performance, commerce, education and learning, information processing and human modeling.He also holds several technological patents on other computer inventions and a sleep guidance system.

Keith Raniere's Intelligent Switching System Patent

The method of claim 1, wherein the data objects comprise image objects.