Three products, one substrate. Run large models on CPUs, let a Decision Transformer own the decision, and gate every AI output against reality — sovereignly, auditably, with zero egress.
Generalist LLMs re-reason every decision from scratch — slow, non-reproducible, and biased where the right answer is often "do nothing." Rules engines are deterministic but blind to the full state and impossible to maintain at scale.
Verificate builds the missing layer: a learned, deterministic policy over the complete forward-projected state — auditable like a rules engine, adaptive like a model, narrated (never decided) by an LLM.
Book a call to discuss licensing HELIX, seeding a category-scale Decision Transformer, or trialling the governed MCP validation server in your environment.