30+ Patents In Six Countries
We have developed a portfolio of over 30 patents related to artificial intelligence and machine learning as applied to leveraging publicly available, mobile and social data in scoring trust. Our patents have been granted in six countries.
To date, our patent portfolio covers:
Mapping the intensity of connectedness between two people (the “six degrees of separation” idea) and among many people/social fabric. "Social Graph"
The use of an A.I.-infused SIX°SCORE™ in settings from lending to dating to recruiting to law enforcement/counter-terrorism to monitoring one's employees to online commerce or the use of sharing economy sites
Machine, A.I. and statistical analysis of trustworthiness and connectedness
The application of trustworthiness in the context of digital currencies (virtual/blockchain)
The fact that trustworthiness may be context-dependent
Not only is trustworthiness of a person important, but so is the Risk Tolerance of our users
Geo-location factors (of both the user and the target) regarding trust assessments
Identity-matching and Entity-resolution is important for a system like this, which gathers data "in the wild"
Visually depicting complex, Big Data results
Determining social connectivity for use in determining trustworthiness
Permitting entry into, or filtering the ability to view, financial applications based upon connectedness
Assessing trustworthiness of people, businesses, products, brands, and places
Improving trustworthiness based on crowd-sourced data
Trend analysis of direct and indirect data to extrapolate and predict trustworthiness trajectories
We continue to expand our capabilities in the applications of AI, machine learning, big data, and cognitive computing as they relate to context-aware social index scoring and trustworthiness, with additional patents pending.