Building SI without OpenAI, without Anthropic, without Google
The three-letter acronyms are not required. The substrate is.
The dependency argument
The industry consensus in 2026 is that you cannot build serious AI without leaning on a frontier lab's API. We disagree, we shipped, we invite audit.
What we replaced them with
OpenAI's GPT-4o → our CLLM on SILL runtime. Anthropic's Claude → our PRISM proof-tree composer. Google's Gemini + Vertex → our NEXUS + LATTICE stack. Every capability, reimplemented sovereign.
The message to every emerging economy
You can too. You do not need to pay for tokens by the million or accept a US TOS on your citizen data. The playbook is public: substrate, cadence, sovereignty, cost curve. Copy it.
Why we use different words
Where the industry says LLM, we say CLLM. Where it says vector database, we say NEXUS. Where it says Chain-of-Thought, we say PRISM proof-tree. Where it says RAG, we say LATTICE. Where it says trillion-token dataset, we say Smart Router Dataset. Different words because different architecture. Read the whitepaper.