Orinyx is a clinical AI safety layer. It sits between any clinical AI tool and the patient record and verifies clinical AI recommendations against FDA labeling, clinical pharmacology, and federal safety guidance in real time, before a doctor signs. Clinical AI is in nearly every major hospital. It recommends doses, flags interactions, and informs treatment decisions. But it hallucinates. It cites guidelines that were reversed, invents monitoring parameters that don't apply, and misses known drug interactions. Roughly 1 in 3 US physicians now use AI for clinical decisions, and almost no hospital AI project exits testing, because no one can prove the AI is safe enough to scale. Orinyx catches unsupported recommendations before they reach a clinician, and logs every check as a signed, timestamped audit trail. That record is what hospitals show their board, legal team, and regulators. Independent verification only works when it's independent. An AI vendor checking its own output carries the same blind spots that produced the error. Orinyx is a separate layer with its own sources, built to catch what the recommending system missed. We're starting with medication safety and pharmacology, where the risk is most concrete and the sources are clearest, and expanding into other clinical specialties from there. Tool-agnostic. Routes alongside major EHRs, including Epic. Currently in beta and backed by AWS Startups. A charmthirteen company.