Artificial Intelligence makes business better.

VELOXITI’s technologies leverage human knowledge to improve decision making. Using state-of-the-art techniques, we create artificial intelligence systems that utilize the OODA Loop (Observe-Orient, Decide-Act) process to transform data into information.

Click the sections below for more detailed explanations of these technologies.


Win or die: the stakes are high in air-to-air combat. Originally created by a fighter pilot, USAF Colonel John Boyd, the OODA loop (Observe-Orient, Decide-Act) captures fundamental ideas about problem solving in continuously changing circumstances. Survival in combat – and success in business – depends on making the right decisions, faster than your competitors.

The OODA loop formalizes a way of thinking about situation assessment (Observe-Orient) and context sensitive action (Decide-Act). It forms the basis for Artificial Intelligence Systems that can replicate the way people think – like those from Veloxiti, Inc.

Following its widespread adoption in the armed forces, the OODA Loop concept is now being used in commercial settings, and Veloxiti provides the technology needed for rapidly building and deploying artificial intelligence systems for winning in business.

Contact us to learn more about incorporating our advanced predictive analytics-based intelligent agents and associates into your company.

Intelligent Agent

An intelligent agent is a software architecture that uses expert insights structured in a graph to conduct activities within other systems. Our embedded intelligent agent is tailored specifically for solving problems using OODA Loop (Observe / Orient / Decide / Act) techniques, and by design, can communicate within a distributed multi-instance application providing your solution with flawless scalability along with broad capabilities.

At any given time, businesses experience countless changes in their environment – e.g. potential threats, changes in supply chains, server technologies, integrated systems, even weather ca impact business. Your cognitive ability allows you to constantly adapt to these conditions, some consciously, others subconsciously, and similarly our intelligent agent mimics your human cognitive ability to adapt and, in this sense, it can “think.”

Our engine, vCognition, is a set of Java-base classes that represent the core components in a knowledge base which include, sensor inputs, beliefs, monitors, goals and plans. These java based classes define methods for building knowledge graphs to interact with the world by Observing-Orienting and Deciding-Acting. A knowledge base’s logic is composed from the meaning of data, extracted concepts from documents, and even human experts who describe how to solve a problem. Knowledge capture is the critical cost driver in developing stronger artificial intelligence. vCognition is unique because it provides intuitive methods for organizing large amounts of expert insight into a multi-graph format so that its responses can be tested, executed, deployed and maintained with less effort than conventional software.

Our agent-based tools are the foundation for knowledge-driven problem-solving using the concept of OODA Loops.

Associative Memory

In a seminal 1945 essay titled As We May Think, Vannevar Bush argued that computers in the future would be associative. Bush, a leading figure in the Manhattan Project, understood that significant aspects of learning involve forming associations. We connect events, people, places and facts together and use these associations in all sorts of ways. For example, countless people remember exactly where they were and what they were doing on 9/11.

An associative memory is an information store that organizes data in terms of relationships. In essence, an associative memory is “correlation coefficient analysis on steroids”. VELOXITI’s associative memory module learns quickly and can be extended on-the-fly as new data types become available. It is particularly useful for tasks that require pattern matching when some data may be missing or even incorrect. Unlike techniques that fail when data are missing or incorrect, the performance of VELOXITI’s associative memory degrades gracefully, just as human performance does in analogous situations.

VELOXITI’s associative memory provides capabilities that augment VELOX.engine, our OODA Loop (Observe / Orient / Decide / Act) cognitive engine. It provides another technique for making good decisions in dynamic environments.