Establishing Semantic Computing as the Foundational Infrastructure for LLM Software Development
Research-backed technology ensuring meaning is preserved through all software transformations.
Covering bidirectional transformation guarantees, mereological type systems, and semantic impedance matching.
Semantic Impedance Matching eliminates 99.98% of overhead traditionally associated with verification layers.
Formal methods establishing mathematical guarantees for meaning preservation across transformations.
What We Do
Semantic computing ensures meaning is preserved through all software transformations—from natural language specification to executable code and back. We're building the infrastructure layer that makes LLM-driven software reliable, verifiable, and production-ready.
Just as TCP/IP enabled the internet and LLVM transformed compilation, semantic computing provides the foundational infrastructure for the next generation of AI-driven software development.
Our research establishes formal guarantees for bidirectional transformation preservation, ensuring that what you specify is exactly what executes—with mathematical certainty.
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