Kyndi is building the first Explainable AI™ (Artificial Intelligence) platform for government, financial services, and healthcare. Kyndi’s solutions are the antithesis of the old AI “black box.” Kyndi’s Explainable AI™ platform enables low-risk decision making in every aspect of your Agency’s mission. Kyndi’s Explainable AI™ platform removes the risk from mission-specific decisions by providing the explanations behind the results it produces. Kyndi increases the cognitive performance of every member of the team by combining unique technologies that have the ability to emulate human cognitive reasoning, extract only the most pertinent data, and provide results that help government agencies anticipate intentions and act decisively on new opportunities or threats.


  • Natural Language Processing & Understanding

    Tokenize text, identify parts of speech, disambiguate the meaning of words, and extract entities and relationships. Expose top keywords and produce summaries.

  • Derive Meaning and Knowledge (Ontological Learning)

    Using patented Semantic Distance Field Model and patent pending Ranking Operator which determines the strength of the relationship between words to provide context and understanding.

  • Cognitive Memory

    Patented graph engine which effectively scales and conducts graph similarity matching in order to query and search for relevant knowledge.

  • Semantic Signals

    Unique algorithms to expose insightful, potentially weak, signals on the provided content.



Kyndi is building the first Explainable AI platform for government. Our outputs are fully auditable. Explainable AI means that the system justifies the reasoning behind its conclusions and results.


Today a tremendous effort is being made around the creation of quantum computers. This high-cost, high-stakes effort by physicists is an attempt to harness the secrets of quantum physics to conceive a whole new form of computing. One of the reasons for this effort is to address very expensive optimi...

In Kyndi’s natural language understanding solution, conceptual graphs represent knowledge. John Sowa, a Kyndi Fellow, invented the use of conceptual graphs to represent knowledge. The graphs can represent everything read by the Kyndi solution. Kyndi has developed an extremely efficient method for ...

In Kyndi’s natural language understanding solution, symbols represent knowledge. For machines to understand the symbols, however, a range of background knowledge is needed. For example, consider a sentence about a <CAT> <SITTING> and <LICKING> <HER> <PAW>. For a machi...


The term “black box” has long been used in science and engineering to denote technology systems and devices that function without divulging their inner workings. The inputs and outputs of the “black box” systemmay be visible, but the actual implementation of the technology is opaque, hidden ...

Kyndi is pioneering methods that bring natural language understanding to the enterprise toolkit. Kyndi converts text resources into a sort of “knowledge soup” which can be used to answer questions and represent know-how for complex subject matter expert models. Knowledge workers using Kyndi tech...