THE MEDTECH INTELLIGENCE LAYER

Every product decision has consequences. PMX makes them visible.

Medical products are built through thousands of connected decisions across hardware, software, clinical risk, and regulatory standards. When one changes, everything downstream moves. PMX OS is the intelligence layer that models these connections in real time—so your team can move fast without breaking compliance, safety, or quality.

23
Downstream Impacts Scoped in CHG-1024
100%
Traceability Grounded to Source Citations
<250ms
Full Transitive Blast Radius Computation
LIVE KNOWLEDGE GRAPH • CardioSense Pro v3.8.2 Interactive SVG • Drag & Click Nodes
Click any node to inspect regulatory citations, owner, and transitive linkages. Expand Full Graph →
SYSTEMIC ROOT CAUSE

Regulated product development is connected. Your systems usually aren't.

Medical devices, active implants, IVDs, and Software as a Medical Device (SaMD) are inherently interconnected systems. Yet the tools used to create and regulate them are historically isolated into brittle, human-bridged silos.

The Document Silo Trap

Requirements live in modern ALM suites. Risks hide inside static spreadsheets. Mechanical CAD resides in PDM vaults, and firmware commits trigger on GitHub. When an engineer adjusts a thermistor resistance threshold or changes a bus clock frequency, there is no automatic signal sent to the ISO 14971 Risk Analysis file.

Consequence: Phantom requirements and unmitigated secondary hazards.

Manual Trace Reconciliation

Before an FDA 510(k), De Novo, or EU MDR submission, teams freeze development for 3 to 6 months to construct traceability matrices by hand. Cross-functional leads spend hundreds of hours manually comparing line-item numbers across PDF exports to prove verification coverage to notified body auditors.

Consequence: 42% average submission cycle delays and audit observations.

Blind Engineering Changes (ECOs)

When component obsolescence forces a sensor replacement (such as S-18 to S-22), engineers assume it is a minor drop-in change. Because no live dependency graph exists, nobody realizes the new component's thermal dissipation profile invalidates a 36-hour clinical skin safety protocol until validation fails on the bench.

Consequence: 6-figure re-testing penalties and late-stage redesign scrambles.
PARADIGM SHIFT

Old Model vs PMX Model

How regulated product development evolves from document-based reconciliation to continuous intelligence.

Traditional Document-Centric Approach

Linear • Fragile

Information is trapped in static documents. Changes require manual cross-checking across siloed departments, leading to late discovery of compliance gaps.

1. Engineering Decision (Component swap or code change)
↓
2. Document Creation (Word spec, Excel FMEA updated manually)
↓
3. Review Meetings (Multi-hour cross-functional alignments)
↓
4. Quality Assurance Gate (Manual signature sign-off)
↓
5. Regulatory Affairs Assessment (Static predicate comparison)
↓
6. Manual Reconciliation & Audit Panic (Spreadsheet hunting before inspections)
Outcome: Average 14 weeks to approve an engineering change order (ECO), high audit vulnerability, and blind risk propagation.

The PMX Knowledge Graph Model

Continuous • Grounded

The product is a living semantic graph. Every engineering intent, hazard mitigation, test case, and regulatory clause is interconnected with instant impact analysis.

1. Decision (Engineering proposes component replacement CHG-1024)
↓
2. Product Knowledge Graph (Instant graph traversal across all 10 ontologies)
↓
3. Impact Engine (Identifies 23 affected requirements, risks & tests in <250ms)
↓
4. Evidence Layer (Extracts exact standard clauses: IEC 60601-1 & ISO 14971)
↓
5. AI Agent Recommendation (Re-run 36h thermal bench protocol V-0183)
↓
6. Human Review & Immutable Audit Trail (Cross-functional sign-off with 21 CFR Part 11)
Outcome: 85% faster ECO review turnaround, zero un-scoped compliance gaps, and automated continuous inspection readiness.
ONTOLOGICAL FOUNDATION

Your product is a system of connected decisions.

In PMX OS, medical products are not collections of disjointed files. They are living graphs of 10 interdependent operational domains. An alteration in any single node propagates contextually throughout the entire lifecycle.

01. INTENT

User Needs & Indications

Clinical purpose, patient demographics, intended environment, and primary usability goals.

02. DESIGN

Specifications & CAD

Mechanical geometry, schematic electrical layouts, hardware architecture, and firmware logic.

03. HAZARDS

ISO 14971 Sequences

Foreseeable sequences of events leading to thermal, electrical, biological, or operational harms.

04. CONTROLS

Risk Mitigations

Inherently safe design features, protective interlocks, firmware limits, and safety labeling.

05. VERIFICATION

Protocols & Test Results

Empirical bench tests, EMC sweeps, environmental stress tests, and automated test fixtures.

06. EVIDENCE

Grounded Data Artifacts

Calibrated sensor logs, statistical sample size rationales, lab reports, and raw telemetry.

07. REGULATIONS

Submissions & Standards

FDA 510(k) predicates, EU MDR Annex II technical files, IEC 60601-1, and ISO 13485 clauses.

08. SUPPLIERS

Components & Quality

Tier-1/2 vendor qualification, lot inspection records, certificates of conformance, and PCNs.

09. SOFTWARE

Firmware, SBOM & Cyber

Embedded C/C++, containerized SaMD microservices, cryptographic hashes, and CVE mitigations.

10. FIELD OUTCOMES

Complaints & PMS

Real-world hospital telemetry, service logs, vigilance reporting, and post-market safety trends.

SYSTEM ARCHITECTURE

One connected model of the product.

Instead of storing requirements in Jira, risks in Excel, and verification protocols in Word, PMX OS unifies your entire product definition into an ontological knowledge graph.

✓
Nodes as Structured Entities: Every requirement, component, hazard, verification test, regulatory clause, and firmware commit is a strongly-typed graph node with cryptographic version hashing.
✓
Edges as Regulated Semantic Relationships: Relationships are not simple hyperlinks; they carry semantic meaning such as implements, controls_hazard, verified_by, complies_with, and sourced_from.
✓
Bi-Directional Automated Traceability: Any change ripples forward to test protocols and backward to user clinical needs instantly, maintaining 100% continuous compliance for FDA 21 CFR 820.30(i) and EU MDR Annex II.
Explore Graph Ontology & Schema →
Traceability Topology: CardioSense Pro v3.8.2
Node ID Domain Relationship Connected Target
S-18 Hardware implements REQ-0184: Thermal Limit
REQ-0184 Requirement controls RSK-0044: Thermal Injury
RSK-0044 Risk verified by V-0183: 36h Thermal Bench
V-0183 Verification submitted in FDA 510(k) K240982
S-18 Supplier sourced from SUP-Y (MicroSens Corp)
Deterministic traversal ensures zero orphan nodes or unverified safety claims.
LIVE SIMULATION ENGINE

What happens when one decision changes?

Simulate a real-world MedTech engineering change: replacing analog temperature sensor S-18 with digital sensor S-22 in the CardioSense Pro wearable telemetry monitor.

The 23 Downstream Impacts of Change CHG-1024

Replacing a passive sensor is rarely just an engineering task. In PMX OS, the impact engine automatically identifies and scopes all 23 affected objects across 8 disciplines before a single solder joint is modified:

4 Requirements: REQ-0184 (Thermal limit <41°C), REQ-0190 (ADC sampling rate), REQ-0205 (Power dissipation), REQ-0211 (SNR).
3 Risks: RSK-0044 (Skin thermal injury), RSK-0051 (Sensor drift over 36h), RSK-0072 (Cold solder joint failure).
5 Verification: V-0183 (36h thermal stress), V-0189 (Cytotoxicity), V-0201 (EMC immunity), V-0204 (Drop test), V-0215 (Accelerated aging).
2 Regulatory: FDA 510(k) K240982 predicate substantial equivalence update, EU MDR Annex II technical file section 4.2.
ZERO HALLUCINATIONS

AI recommendations need evidence.

In life sciences and regulated medical products, generative AI cannot be an ungrounded black box. Every suggestion made by PMX OS is backed by a verifiable chain of custody.

Stage 1: AI Recommendation CONFIDENCE: 99.4%

Suggested Action: Re-run 36-Hour Thermal Stability Protocol V-0183

The AI recommends executing test protocol V-0183 under the S-22 thermal profile prior to engineering change sign-off.

Stage 2: Grounded Evidence PROVENANCE LINK

Regulatory Standard Grounding: IEC 60601-1-11 Clause 11.1.2.2

Evidence Citation: "Surface temperature of medical electrical equipment in contact with intact adult human skin for >10 minutes shall not exceed 41.0°C."

Stage 3: Source Verification SHA-256 HASHED

Internal Artifact: Thermal Simulation Model TH-SIM-402 Rev C

Finite element analysis demonstrates localized PCB junction heat dissipation of 41.3°C under worst-case 100Hz continuous telemetry transmission.

Stage 4: Human Review & Audit Trail 21 CFR PART 11

Human Authority Sign-Off by Lead Systems Engineer & Quality Director

The recommendation cannot take effect autonomously. It routes to designated qualified humans with multi-factor biometric signatures and timestamped audit logs.

• Illustrative Demonstration System: CardioSense Pro v3.8.2 data is for technical demonstration •
DOMAIN MULTI-AGENT ARCHITECTURE

Specialized AI Agents for Regulated Engineering

Rather than a generic chatbot, PMX OS deploys 9 dedicated, evidence-grounded AI copilots designed around international medtech standards.

System Design AGENT-DSN

Design Agent

Monitors CAD, electrical schematics, and systems specifications. Flags cross-subsystem interface incompatibilities, power budget overruns, and mechanical tolerance stack-ups.

ISO 14971 AGENT-RSK

Risk Agent

Traverses hazard sequence trees in real time. Analyzes single-fault conditions, evaluates risk mitigation effectiveness, and calculates residual risk matrices according to ISO 14971:2019.

FDA / EU MDR AGENT-REG

Regulatory Agent

Evaluates substantial equivalence against FDA predicate databases. Dynamically determines whether an ECO mandates a new 510(k), Special 510(k), or EU MDR Significant Change filing.

V&V Assurance AGENT-VRF

Verification Agent

Validates requirement-to-protocol test coverage. Identifies stale test protocols after firmware revisions, evaluates statistical power, and drafts delta verification test suites.

MEDDEV 2.7/1 AGENT-CLN

Clinical Agent

Links clinical claims and endpoints directly to empirical clinical trial data. Scans medical literature for state-of-the-art equivalence and maintains continuous clinical evaluation reports (CER).

SBOM & Cyber AGENT-SEC

Cybersecurity Agent

Monitors national vulnerability databases (NVD) against device Software Bill of Materials (SBOM). Evaluates exploitability scores (CVSS) and enforces FDA premarket cybersecurity guidance.

DMR & Process AGENT-MFG

Manufacturing Agent

Ensures Device Master Record (DMR) consistency with design freeze. Verifies IQ/OQ/PQ process validation parameters, supplier quality limits, and work instruction alignments.

Post-Market PMS AGENT-PMS

Post-Market Agent

Monitors hospital customer complaints, MDR adverse events, and telemetry anomalies. Automatically calculates complaint trending spikes and triggers proactive CAPA investigations.

PCCP & ML AGENT-GOV

AI Governance Agent

Oversees on-device machine learning models (such as RespiraAI v4.2). Enforces Predetermined Change Control Plans (PCCP), data drift monitoring, and EU AI Act conformity documentation.

Explore AI Agent Orchestration & Architecture →
END-TO-END CONTINUUM

Unified Intelligence Across 11 Lifecycle Stages

PMX OS is not just a pre-market design tool or a post-market QMS. It operates as the persistent intelligence thread from initial clinical concept to continuous commercial improvement.

01
DISCOVER
Clinical unmet need, competitor predicate benchmarking & intended use framing.
02
DESIGN
Translating user needs into multi-domain systems requirements and CAD specifications.
03
DEVELOP
Hardware prototyping, firmware development, PCB routing, and initial risk estimations.
04
VERIFY
Bench testing, electrical safety (IEC 60601-1), EMC, and software unit verification.
05
VALIDATE
Human factors usability testing, clinical simulated use, and clinical safety trials.
06
SUBMIT
Automated compilation of eSTAR 510(k), De Novo dossiers, or EU MDR technical files.
07
MANUFACTURE
DMR freeze, supplier lot qualification, cleanroom controls, and IQ/OQ/PQ validation.
08
DEPLOY
Hospital integration, EHR connectivity, clinical onboarding, and firmware distribution.
09
MONITOR
Real-world telemetry streaming, post-market vigilance, and customer complaint capture.
10
LEARN
Pattern recognition across field complaints feeding directly back into hazard frequencies.
11
IMPROVE
Continuous next-generation iterations, firmware updates, and proactive design hardening.
FORWARD-LOOKING ASSURANCE

Don't just find problems. Understand what may happen next.

Traditional QMS systems are reactive: they wait for customer complaints or failed audits before initiating a CAPA. PMX OS utilizes graph correlation to predict systemic failures before they reach patients.

Case Scenario: Emerging Sensor Thermal Drift Pattern
Multi-Source Signal Synthesis
Supplier Quality Variance: Supplier Y Lot #880 thermistor batch shows +0.14°C variance.
+ Complaint Frequency: 3 hospital ward feedback notes reporting minor surface warmth.
+ Firmware Logic: Firmware v3.8.0 sampling loop running at high continuous 100Hz duty cycle.
→ 68% Probability of Emerging Thermal Safety Threshold Violation within 60 Operating Days.
System Action: Suggests throttle to 50Hz sensor polling in next firmware patch, avoiding hardware recall.
68%

Predicted Emerging Incident Risk

Based on correlated supplier lot drift, firmware duty cycle, and 3 subtle post-market complaint signals.

Illustrative AI Prediction • Human Review Required
PMX Ontological Twin CardioSense Pro v3.8.2
Physical State: Surface Contact Thermistor S-18
Regulatory State: FDA 510(k) K240982 • Active
Risk State: Residual Risk Acceptable (ALARP)
Verification State: 184 Tests Passed • 0 Unverified
Firmware State: v3.8.0 Production (Commit 8a9f4c1)
BEYOND 3D CAD

A living digital twin for regulated products.

In aerospace and industrial engineering, a "digital twin" is usually a 3D geometric mesh or thermal physics simulation. In regulated healthcare, that is only 10% of the picture.

The PMX Digital Twin models the total regulatory, architectural, and operational state of the product. It captures what you intended to build (requirements), how it was built (BOM & code), why it is safe (hazards & mitigations), how it was proven (bench & clinical data), and what global health authorities approved.

Explore Regulatory Digital Twin Capabilities →
TECHNOLOGY HORIZONS

The 10-Year Progression of MedTech Intelligence

From fragmented document systems to autonomous, continuous regulatory orchestration.

TODAY

Connected Knowledge Graph

Unifying requirements, risks, verification protocols, and regulatory filings into an ontological graph. Instant blast radius computation for engineering changes.

NEXT (2-3 YEARS)

Multi-Agent Synthesis

Specialized domain agents continuously monitoring git commits, CAD check-ins, and supplier PCNs, automatically generating delta verification protocols.

ADVANCED (4-5 YEARS)

Predictive Post-Market Adaptation

Real-world evidence (RWE) directly closes the feedback loop, updating hazard probabilities in real time and notifying notified bodies of dynamic safety profiles.

FUTURE (6-8 YEARS)

Continuous Regulatory Submissions

Regulators query the living digital twin directly via secure cryptographic APIs, replacing batch 510(k) and MDR document submissions with continuous compliance streams.

LONG-TERM (10 YEARS)

Self-Healing Regulated Systems

AI-driven medical devices autonomously adapt operating parameters within approved Predetermined Change Control Plans (PCCP) with mathematically proven safety invariants.

Read the Complete 10-Year Roadmap →
CROSS-FUNCTIONAL ALIGNMENT

Who Uses PMX OS?

Built for the complex cross-disciplinary teams required to bring regulated devices to life.

R&D / SYSTEMS

Engineering Teams

Hardware, firmware, and software engineers who need to innovate fast without fear of invisible regulatory tripwires. Know the exact compliance blast radius before merging code or issuing an ECO.

Engineering Solutions →
GLOBAL COMPLIANCE

Regulatory Affairs

RA directors and specialists tired of manual predicate comparisons and 500-page dossier assembly. Keep technical documentation synchronized with live engineering in real time.

Regulatory Solutions →
QMS & AUDITS

Quality Assurance

QA leads responsible for ISO 13485, 21 CFR 820, and continuous audit readiness. Eliminate spreadsheet trace matrices and conduct instant root-cause analysis on deviations.

Quality Solutions →
CLINICAL SAFETY

Clinical Affairs

Medical directors and clinical scientists managing trial protocols and clinical evaluation reports. Connect clinical endpoints directly to risk mitigations and device performance specs.

Clinical Solutions →
PRODUCT SECURITY

Cybersecurity Teams

Product security officers managing SBOMs, threat models, and vulnerability remediation across IoT medical hardware and cloud telemetry backends.

Security Solutions →
OPERATIONS & SUPPLY

Manufacturing & Ops

Process engineers and supply chain directors handling component shortages and vendor changes. Determine instantly whether an alternate supplier requires re-validation.

Manufacturing Solutions →
C-SUITE & R&D LEADERSHIP

Executive Leadership (VPs of R&D, CTOs, CROs)

Maintain executive visibility across the entire product portfolio. Track submission readiness velocity, eliminate audit panic, protect corporate valuation from catastrophic product recalls, and cut cycle times by months.

Enterprise Governance →
THE DESTINATION

The future isn't another document system. It's continuous system intelligence.

Medical innovation saves lives, but disconnected compliance silos throttle progress. By transforming static records into a living product knowledge graph, PMX OS empowers regulated teams to engineer with clarity, velocity, and unassailable confidence.