We built this page because we respect serious inquiry. If you're evaluating Jachin — as an investor, partner, or skeptic — these are the hardest questions, answered honestly.
Fine-tuning changes weights, not architecture. You can't add reasoning to a system designed for prediction. Jachin's symbolic layer is architecturally distinct — it reasons, not retrieves.
Discrete symbolic computation scales differently than matrix multiplication. Our bottleneck is ontology construction, not compute. More domains = more ontologies, but the engine stays the same.
Proprietary ontology library, functor mapping architecture, cognitive modeling methodology, and formal verification engine. Each alone is defensible. Together, they're a compound advantage.