CTCE – Topological Computing of Electromagnetic Fields, a disruptive computational architecture that uses topological properties and interactions of electromagnetic fields to process and transfer information beyond the limits of conventional computing methods. This theoretical and experimental framework has been validated through proof-of-concept tests using several advanced AI models (ChatGPT, Claude, Gemini, Grok, Watson, DeepSeek, Qwen, etc.), demonstrating potential applications with high density and speed, as well as the ability to interoperate with conventional silicon-based, photonic, or quantum computing. It enables post-quantum cryptography and cognitive AI systems. I am also the developer of Gebit, a modular programming language algorithm specifically designed to optimize the CTCE architecture and enable seamless integration between physical and virtual systems. My research is supported by an official registration of authorship and prior art, safeguarding the originality and intellectual property of the discoveries under the LIACC License. This ensures that the work is legally documented as an original contribution to the field, enabling secure collaboration and technology transfer with partners. Over the past three decades, we have refined these concepts by combining practical experimentation, theoretical modeling, and interdisciplinary analysis. My approach connects emerging computing architectures and advanced materials research (including photonics and, environmentally, graphene). Busco acts as a collaborator, institutional partner, and forward-thinking investor to accelerate the prototyping, validation, and large-scale deployment of CTCE technology. This includes partnerships with researchers, laboratories, and deeptech companies working at the frontiers of computing and AI. I invite you to a partnership based on aligned expectations so that, together, we can contribute to creating a more open, decentralized, efficient, and sustainable computing era aligned with the needs of humanity's future.