Artificial Intelligence

Artificial Intelligence

One of the major problems with technology today, especially computers, or systems containing computers, where interaction with the computers, through software, sensors or hardware, is not intuitive and/or easy.

One of the major problems with technology today, especially computers, or systems containing computers, where interaction with the computers, through software, sensors or hardware, is not intuitive and/or easy.

As a society, we really have taken a lot of these non-ideal usability issues, and through years of use and training, have come to accept them as normal. Doing this causes us to now think about these practices in our mind as the places to start, and in so doing, we accept the non-ideal and think in terms of this non-ideal as the way to proceed to solve problems by using computers.

If we have an idea of what we need to work on, and we go and sit in front of the computer, and start keeping track of the things we need to do, we quickly find that the number of steps and complexity to set ourselves up to solve problems is very difficult. Much of the problem is our acceptance that computers are difficult, so the methods to use them are also difficult. If we separate ourselves from any bias and keep inventory from a base state of all the things we need to do to solve our problems, we quickly see that things aren’t easy. In fact, for many of the more difficult things, we don’t even try to do things that are to complex, but we are so used to this way of thinking, that we don’t realize we have ‘dumbed down’ many of the tasks we use the computer for.

Now, there are signs of improvement here, and there are pieces of software that make certain things easier, with some support being very good, such as email, calendars, creating documents, etc… However, the real problems are when we need to solve something far more complex. And at that point, it becomes obvious, if you try to use the computer, knowing it has the capabilities to do what you need it to, but that to use those capabilities, there is extensive work that needs to be done.

Recently, new devices, like the Google Home, Alexa, etc… have added new usability that we haven’t had before, with accessibility and ease of use for everyone in the household to use.

Reinforcement learning

automatic code and application generation

self-improving systems

object recognition

activity recognition

real-time tracking and notification


data organization

Rapid Prototyping and Production Ready Portable AI Platforms

In addition to creating some of the most advanced Artificially Intelligent solutions in the world, with multiple world's firsts achievements in AI and Automation, we have our own portable platform. Portable means you can take it anywhere, with a built in touch screen, and multiple ports for adding sensors/cameras/other equipment, you can bring AI to any place you need it, regardless of how remote. We can customize our platform to fit your needs.

Medical Device


The IntelliScope customization was created for hospitals and health care. We added a high powered microscope, endoscope, and customized the software to perform handheld endoscope scanning on patients in real-time, detecting disease and symptoms on the skin, in the mouth, nose and ears as well as through a drop of blood with our smart embedded microscope, detecting disease and inventorying characteristics of the blood, such as white blood and red blood cell count, platelets detection, and much more.

Portable Platform

Disease & Symptom Detection

Embedded Microscope & Endoscope

Drug Interactions Check

Robotics Interaction

This customization allowed our portable platform to be easily connected to a highly mobile, wireless robot (which is also one of our products) acting as its display and feedback center as well as navigation and movement. In addition, pairing our AI with the robot created an analytical, complex and powerful mobile computing entity. The robot has a chatbot interface with an ability to communicate information stored within neural networks and reinforcement learning systems with voice and/or touchscreen access, with conversations supported multiple layers deep. The robots grippers, arms, and embedded sensors were also controlled, and a self-improvement engine against objectives allowed the robot to map unknown areas, interact with physical objects and perform other actions not previously known to the robot.

Portable Platform

Robot Connectivity

Reinforcement Learning

Customized Neural Networks

Comparison Learning

This customization is software pursuing general intelligence by using a never before attempted approach. We use a human-like 'comparison learning' capability through reinforcement learning algorithms, customized neural networks and a variety of sensors. This comparison learning system is trained through pre-existing data and its own actions. It continues training and learning through its actions until a critical mass is achieved where the subject matter expertise becomes able to learn other objects, their purpose, how they can be interacted with, and what the results are, without having specific training data or pre-defined actions of the unknown object(s). This technique uses methods that are almost the exact opposite of what the mainstream AI community is moving towards to achieve narrow, general and eventually superintelligence. Instead, by modeling and simulating our own human behavior and biological systems, we have obtained a giant leap ahead of the mainstream on achieving higher levels of artificial intelligence.

Comparison Learning

Reinforcement Learning

Customized Neural Networks


Social Media Recognition, Tracking and Notification System

This is an artificially intelligent social media real-time recognition and reporting solution for text, audio, images, videos, and other media sources. We use object and activity recognition, and identification in both pixel-based imagery and video/timeline-based media. We are able to scan content in browser headless mode (10x-100x faster). This platform also has unlimited scaling speed multipliers utilizing parallel execution across threads, computers, and GPUs with CUDA support.

Object Recognition & Identification

Timeline-Based Recognition

Fast Content Scanning

Unlimited Scaling Speed Multipliers