AI, Profiling & Predictive AlgorithmsBased on robust Machine Learning techniques, its Artificial Intelligence Algorithms predict and anticipate users’ needs before they are even expressed.

Predictive Algorithms

Using advanced predictive Machine Learning algorithms, based on complex probabilistic models, Sherpa is able to learn and codify complex functions that allow it to infer and anticipate relevant information at any given time. Having the knowledge of different domains of information allows the identification and exploitation of latent relationships between the various elements present and users, without the need for them to interact with the system.

The AI engine works constantly to analyze all the information possible and to always have the most relevant information available, without the need to search. Our algorithms are able to find patterns that underlie the data and give coherence to the information coming from different domains, which is theoretically unrelated.

Sherpa Predictive Algorithms and intelligent technology formula Sherpa Predictive Algorithms and intelligent technology formula Sherpa Predictive Algorithms and intelligent technology formula

The algorithms developed by Sherpa are capable of predicting the future of our users, before they're even aware of it themselves.

Jose Antonio Lozano Sherpa

JOSE A. LOZANO, Ph.D.

Head of AI Research at Sherpa

  • Ph.D. in Computer Science.
  • Degree in mathematics & M.Sc.
  • Degree in Computer Science
  • 100 ISI journal papers published which account for more than 9000 citations.
  • Associate editor of top journals, such as IEEE Transactions on Neural Networks and Learning Systems and IEEE Trans. on Evolutionary Computation.
  • Several best paper awards at international conferences such as the World Conference on Computational Intelligence and the IEEE Congress on Evolutionary Computation.

AI & Profiling

User profiling

Its personalized predictive capabilities set it apart from market competitors. Sherpa analyzes over 100,000 parameters per user per day in order to formulate and continuously update individual profiles:

  • Demographics (Business traveler, electronics buyer, golfer, etc.)
  • Personal Interests (Fashion, technology, etc.)
  • Commuting habits
  • Social media habits
  • Personal Relationships (Family, friends, coworkers, etc.)
  • Favorite Brands
  • Restaurant preferences
  • Sports preferences
  • And many more...
Sherpa interface Top brands user profiling Sherpa

NLP and Conversational manager

Unparalleled linguistic intelligence

Sherpa incorporates five levels of linguistic analysis to eliminate all possibility of misinterpretation - morphological, syntactical, semantic, pragmatic, and functional. Its sophisticated natural language technology mimics human understanding to dismiss impossible or unlikely matches.

Layers Linguistic intelligence Sherpa
  • MORPHOLOGICAL
  • SYNTACTICAL
  • SEMANTIC
  • PRAGMATIC
  • FUNCTIONAL

Built-in natural language capabilities

Packed with over 300,000 concepts and 5,000 syntactic and semantic rules, Sherpa's thoroughly tested core system provides the basis for a reliable and comprehensive approach to human-computer interaction.

The Sherpa dialogue manager and Sherpa natural language processing technology together represent an extremely capable and comprehensive approach to human-computer interaction. That's Sherpa.

Sherpa’s extensive resources of conceptual and linguistic information and its detailed, five-level approach to linguistic analysis makes it a highly accurate and flexible tool for building innovative natural language-based solutions.

Deborah Dahl Sherpa

DEBORAH DAHL, Ph.D.

Speech and natural language processing expert.

Co-Principal Investigator on the Defense Advanced Research Projects Agency (DARPA) of the U.S. Department of Defense funded project which integrated Unisys natural language understanding technology with speech recognition.