From conceptual models to explainable AI — logic and semantics, built in.
🚀 Start a ConversationThis site explores the integration of conceptual modeling, logic-based reasoning, and intelligent data systems into the fabric of modern applications. It operates on the philosophy that systems, especially those at the heart of decisions, automation, or AI, ought to embed knowledge, semantics, and logic as fundamental components.
This involves developing tools and methods for:
This effort welcomes collaboration with researchers, developers, and open-source projects aligned with its mission. If exploring knowledge-driven AI, designing schema-first architectures, or building semantically aware platforms, collaboration and conversation are always welcome.
This site's focus has shifted to making intelligent data and knowledge services accessible to all businesses, including SMBs and independent developers. To achieve this, we are exploring neuro-symbolic AI and modeling-first approaches.
This demo application was built using the ORM Toolkit with Windsurf AI Code Assistant. It demonstrates how conceptual models can drive intelligent decision systems with explainable logic and semantic validation.
Design precise and flexible conceptual models to form the foundation for intelligent systems.
Develop semantic models to represent complex domains, enabling reasoning, explainability, and inference.
Integrate symbolic logic with learning systems to create explainable and robust AI applications.
Interested in working together? Let’s explore ways to collaborate or contribute to like-minded initiatives.
Authorship and AI use: All articles are authored by G. Sawatzky. Some pieces may use AI for drafting or editing under the author’s direction; final content and positions are the author’s. See On AI Assisted Content Creation for details.