General-purpose generative language models hallucinate non-existent standards, conflate regulatory jurisdictions, and invent test numbers. Regulated medical engineering demands determinism. PMX OS deploys a federated collective of 9 domain-specialized, evidence-grounded AI agents—each strictly constrained to medical device taxonomies, live knowledge graphs, and mandatory human review gates.
Select an agent to inspect its exact inputs, deterministic outputs, realistic prompts, multi-step execution pipeline, and mandatory human sign-off requirement.
Enforces bidirectional traceability across User Needs, Design Inputs, Design Outputs, and Design Verification throughout the Design History File (DHF).
"Identify all design inputs lacking bidirectional traceability to user need UN-042 (Ambulatory Wearable Skin Comfort) and score testability."
Lead Systems Engineer and Quality Assurance Manager must formally execute 21 CFR Part 11 electronic signatures to commit any proposed trace link into the baseline DHF.
Architected specifically for regulated life sciences. Zero generic conversational models; each agent operates on deterministic domain boundaries with cryptographically verified evidence trails.
Enforces 21 CFR 820.30 & ISO 13485 bidirectional traceability across User Needs, Design Inputs, and Outputs.
Automates preliminary hazard identification, FMEA risk estimation, hazardous situations, and risk-benefit analyses.
Cross-references FDA, EU MDR, PMDA, and CDSCO rules to assess substantial equivalence and submission pathways.
Audits test method rigor, statistical sampling plans, protocol execution data, and flags stale test evidence.
Appraises clinical literature, PMCF registries, and MAUDE data according to MEDDEV 2.7/1 Rev 4 guidelines.
Monitors CycloneDX SBOMs, ingests NVD CVE feeds, and links buffer bugs to ISO 14971 patient hazards (IEC 81001-5-1).
Tracks SMT line yield, statistical Cpk drift, supplier lot CoAs, and enforces electronic DHR lot release holds.
Clusters real-world complaint tickets using IMDRF clinical adverse event NLP and correlates spikes with firmware/DHR lots.
Enforces FDA Predetermined Change Control Plans (PCCP), monitors demographic bias parity, and tracks covariate drift.