If software is eating the world and AI is eating software, what eats AI? The answer is philosophy—expressed through a clear, machine-readable ontology. By surfacing your enterprise’s core semantics and linking them to real data, you give AI a lens to reason over what truly matters: how your business creates value.

DeepMind’s AlphaEvolve blends LLM creativity with automated evaluation, unlocking breakthroughs from new matrix multiplication algorithms to global compute optimisation. Its success signals a new era for verifiable AI — and shows why enterprises need semantic frameworks like ontologies and knowledge graphs to bring similar rigour to complex business domains.

Ontologies aren’t just knowledge maps — they’re mathematical compressions. By defining meaningful classes and relationships, you’re factorising high-dimensional data into a lower-dimensional conceptual space. This selective abstraction turns raw information into structured insight, giving AI systems clarity and focus.