TinMan Systems, announced immediate availability of the TinMan AI Builder and Integrated Development Environment, enabling companies to rapidly design and deploy autonomous artificial intelligence in their host applications and systems. TinMan AI Builder was developed as a result of the firm belief that increasingly human-like behavior is now possible through neural network based AI systems, but that those systems are very difficult and costly to develop and integrate.

TinMan AI Builder fully abstracts and shields the user from the mathematical tedium associated with neural networks and machine learning technologies through a modular and templatized approach. This abstraction, combined with optimized training algorithms and a patents-pending, state of the art interface, enables a highly productive and rapid design of a fully-trained, multi-layer, parallel processing, and self-modifying neural network, ready for deployment in a dynamic environment.

“TinMan AI Builder breaks the mold in the field of applied-AI quite a bit,” said Karl Hirsch, President and CEO at TinMan Systems. “Our goal was to provide an application to easily and rapidly construct deployable intelligence that mimics the basic operation of the human brain, but shield the developer entirely from the very difficult process of how that has to be done.”

Companies can use TinMan AI Builder to design, train, simulate, test and embed unique artificial intelligence cores into their host systems or end-applications to achieve continuous autonomous, unmanned behavior. Examples of such systems include: commercial robotics, unmanned air, water and ground vehicles, medical devices, financial/stock market monitoring and predictive systems, commercial transportation systems, entertainment software/games and many others.

Running on the latest version of Windows (32 or 64 bit), the TinMan IDE presents a familiar graphical user interface drag and drop, connect and configure, approach to building sophisticated intelligence cores, comprised of a multi-layer network of artificial neurons connected, configured and working as a single unit to manage the host system, as trained, in a fully dynamic environment. The IDE comes with a runtime library for integration with the host application to load and utilize the AI core.