The objections, answered.

No — and that distinction is the entire product. Large language models are probabilistic; they are built to be creative. Diligence requires the opposite: deterministic, repeatable physics. Ask a standard LLM "is this risky?" and you get a probabilistic opinion. When askOdin ingests a data room, the RUNE Protocol runs a strict compiler check — e.g. burn rate exceeds cash ÷ 4 → flag: insolvent within four months. The language model is merely the CPU; askOdin’s deterministic compiler is the operating system.

Through a strict separation of powers. A natural-language layer extracts the claims; a deterministic Go compiler — not the language model — evaluates the math. Because evaluation happens entirely outside the neural network, the model cannot smooth over a contradiction between divergent data points: the RAVEN Protocol preserves the conflict instead of reconciling it away. The architectural mechanics of RAVEN’s triangulation engine are protected under U.S. Provisional Patent No. 63/994,876 and are not publicly disclosed.

No. askOdin uses an adapter layer that lets us swap the underlying stateless language models as economics and accuracy shift. Our proprietary IP — the deterministic logic, the RUNE compiler, and the RAVEN Protocol — stays constant regardless of which model runs beneath it. The protocol is the asset, not the vendor.

Absolutely not. Execution demands absolute data sovereignty. askOdin operates inside secure, stateless, ephemeral sandboxes with a strict data-sovereignty mandate. Your proprietary deal flow is isolated to your private session and is never used to train underlying probabilistic models.