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Create complex database, application, business logic, and user interface in minutes without writing code, using practically any existing Delphi or C++ Builder component, and enjoy the full power of graphical application development with the OpenWire Graphical Editor. You can add OpenWire pins at design time to any public or published property event or method of any component or form with the simple click of the mouse. Once the pins are added, you can use the OpenWire Editor to connect the components forming the visual live binding, and your application will be ready. Features: Add pins to public, and published Properties, Events, and Methods with easy to use editor. Filter by name visibility(public, published), and type(properties, methods, events). Easily manage the properties once created. Includes binding for TDataSet components, TField, TStringGrid, and TBindNavigator. Includes bindings for Bitmaps, and Images. Includes bindings for Textures. Supports both VCL and FireMonkey. Visual Graphical Editor to connect the created pins. No code to write.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

Create complex database, application, business logic, and user interface in minutes without writing code, using practically any existing Delphi or C++ Builder component, and enjoy the full power of graphical application development with the OpenWire Graphical Editor. You can add OpenWire pins at design time to any public or published property event or method of any component or form with the simple click of the mouse. Once the pins are added, you can use the OpenWire Editor to connect the components forming the visual live binding, and your application will be ready. Features: Add pins to public, and published Properties, Events, and Methods with easy to use editor. Filter by name visibility(public, published), and type(properties, methods, events). Easily manage the properties once created. Includes binding for TDataSet components, TField, TStringGrid, and TBindNavigator. Includes bindings for Bitmaps, and Images. Includes bindings for Textures. Supports both VCL and FireMonkey. Visual Graphical Editor to connect the created pins. No code to write.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.