Platform & Sandbox
Platform Architecture Knowledge Graph Engine Change Simulator Regulatory Intelligence Evidence Verifier Interactive CardioSense Sandbox
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Master Solutions Hub MedTech Startups Enterprise MedTech AI & SaMD Devices Regulatory Affairs Engineering & R&D Quality Assurance
Ecosystem & Resources
Integrations Ecosystem Technical Whitepapers (6) Comprehensive FAQ (27 Q&A) Security & Trust About Primexia Schedule a Briefing
Enterprise Methodology Deterministic Traceability Across All Stakeholders

Unified MedTech Intelligence for Every Stage & Discipline

Medical device development fails when engineering speed clashes with regulatory inertia. PMX OS replaces disconnected spreadsheets and siloed document stores with a living knowledge graph that maps every design commit directly to clinical hazards and global clearance files.

The 6 Core MedTech Disciplines

How PMX OS Connects the Entire Device Lifecycle

Choose your operational focus below to inspect tailored workflows, real-world data structures, and governance outcomes.

MedTech Startups

Accelerate prototype cycles without generating insurmountable compliance debt. Instant DHF compilation for fractional regulatory teams.

Deep Dive →

Enterprise Portfolios

Orchestrate multi-site, multi-country submissions across disparate legacy PLMs, SAP instances, and Notified Bodies without disruption.

Deep Dive →

AI & SaMD Devices

Govern continuous algorithmic iteration, FDA Predetermined Change Control Plans (PCCP), telemetry drift, and EU AI Act conformity.

Deep Dive →

Regulatory Affairs

Transform passive dossier writing into continuous regulatory intelligence. Automated predicate mapping and Letter-to-File decision trees.

Deep Dive →

Engineering & R&D

Eliminate late-stage verification surprises. Bring risk mitigations and safety standards directly into Git commits and CAD releases.

Deep Dive →

Quality Assurance

Continuous ISO 13485 & FDA QMSR traceability. Isolate CAPA blast radius across the graph in seconds rather than weeks of file forensics.

Deep Dive →
Audience 01 • Emerging Innovators

MedTech Startups: Fast Iteration with Defensible Design Controls

Early-stage medical device companies operate under intense capital velocity. Founding engineers focus on getting benchtop prototypes working, while fractional regulatory consultants struggle to reconstruct design history from fragmented Slack threads, CAD files, and Google Drive folders.

1. Specific Operational Pain Points

  • Zero dedicated in-house Regulatory Affairs (RA) personnel; complete dependence on high-cost hourly external consultants.
  • Severe "compliance debt" accumulated during benchtop prototyping, requiring months of backfilling before an FDA Q-Sub or 510(k).
  • Lack of formal requirement traceability linking breadboard firmware commits to user needs and safety hazards.
  • High risk of redesigns late in the pre-clinical phase due to unmonitored standard shifts (e.g., IEC 60601-1-11 home use).

2. The Disconnected Workflow

A
Engineering Sprint: Firmware team updates telemetry logging in GitHub and alters sensor sampling rates to save battery.
B
Siloed Storage: CAD models live in SolidWorks, risk files live in a local Excel sheet, requirements live in Notion.
C
Consultant Friction: External RA consultant spends 30 billable hours searching for test protocols and revision histories, only to discover an undocumented sensor substitution.

3. How PMX OS Solves It

Continuous DHF Engine

PMX OS provides startups with an out-of-the-box knowledge graph that automatically ingests commits, CAD metadata, and test benches. External consultants log into a federated workspace with full visibility into verified relationships, slashing administrative overhead and maintaining submission-ready DHF from commit one.

4. Real-World CardioSense Pro Case

During the early bench phase of CardioSense Pro v3.8.2, the hardware engineer substituted thermistor component S-18 with alternative sensor S-22 due to lead-time shortages.

Instead of discovering this discrepancy during pre-submission freeze, PMX OS flagged that S-22 had an unverified dissipation curve under requirement REQ-0184. The startup re-ran verification test V-0183 immediately, preserving their 510(k) schedule.

5. Expected Value & Governance Outcomes

Continuous audit readiness without manual document reconciliation; seamless consultant integration with immutable cryptographic sign-offs; eliminated risk of pre-submission redesign surprises.

Audience 02 • Global Operations

Enterprise MedTech: Multi-Site Portfolios & Supply Chain Shocks

Multi-billion dollar MedTech enterprises manage thousands of active SKUs across dozens of geographic jurisdictions. When a tier-2 supplier issues an end-of-life notice or alters a raw material specification, tracing the blast radius across hundreds of global clearances is paralyzing.

1. Specific Operational Pain Points

  • Fragmented enterprise architectures: Windchill in division A, Teamcenter in division B, SAP globally, and localized eQMS instances.
  • Inability to rapidly quantify regulatory exposure when a common component (resistor, microcontroller, adhesive) is modified.
  • High risk of uncoordinated market actions: updating a device in the US while invalidating an active EU MDR Technical Dossier or PMDA Shonin.
  • Enormous document remediation costs during Notified Body surveillance audits.

2. The Disconnected Workflow

1
Supply Disruption: Supplier Y issues an engineering change notice (ECN) on transducer S-18.
2
ERP Query: Supply chain runs an SAP report showing S-18 is used in 8 distinct product lines across 4 manufacturing sites.
3
Manual RA Investigation: Regulatory specialists in the US, Europe, and Japan spend 6 weeks manually reviewing PDFs to determine whether substitution requires a 510(k) or Letter-to-File.

3. How PMX OS Solves It

Federated Multi-Site Graph

PMX OS deploys a non-destructive knowledge layer over existing PLM, ERP, and QMS databases. It constructs an enterprise-wide dependency graph that links raw component part numbers directly to finished good device identifiers (UDI), technical files, and regional clearance certificates.

4. Real-World CardioSense Pro Case

Change CHG-1024 impacts component S-18 across the CardioSense Pro product tree.

The PMX OS Change Simulator instantly maps propagation: 1 physical assembly, 1 thermal safety requirement (REQ-0184), 1 biological hazard (RSK-0044), US clearance K221840, and EU MDR CE Certificate CE-682914. Global regulatory heads receive automated country-specific filing guidance simultaneously.

5. Expected Value & Governance Outcomes

Elimination of undocumented cross-border regulatory non-compliance; deterministic visibility into component obsolescence blast radius; unified audit defensibility across global notified bodies without multi-month manual data consolidation.

Audience 03 • Algorithmic Systems

AI & SaMD Devices: Governed Iteration, PCCP & Model Lineage

Machine learning-enabled medical devices (Software as a Medical Device - SaMD) violate the traditional "frozen waterfall" assumption of medical device regulations. Continuous re-training, hyperparameter optimization, and real-world clinical drift require rigorous algorithmic change control protocols.

1. Specific Operational Pain Points

  • Managing FDA Predetermined Change Control Plans (PCCP) without falling out of authorized parameter bounds.
  • Lack of provenance linking trained model weights back to specific patient training dataset splits and clinical annotations.
  • Silent model drift in clinical production without an automated feedback loop into design risk matrices (ISO 14971).
  • Dual-regulatory complexity complying with both medical device regulations (MDR/FDA) and the EU AI Act (high-risk AI requirements).

2. The Disconnected Workflow

A
MLOps Iteration: Data science team updates the arrhythmia detection convolutional net, deploying model weights v2.5 to cloud inference.
B
DHF Disconnect: The device DHF in the QMS still references model validation v2.4 from the original 510(k) clearance.
C
Audit Exposure: During a surveillance audit, the manufacturer cannot demonstrate that the new model version remains within pre-cleared PCCP performance envelopes.

3. How PMX OS Solves It

PCCP & Dataset Governance

PMX OS treats ML models, training datasets, annotation schemas, and inference pipelines as first-class nodes in the product knowledge graph. It evaluates every model candidate against FDA PCCP boundaries, automatically certifying whether retraining falls under internal change control or mandates a new 510(k).

4. Real-World CardioSense Pro Case

CardioSense Pro includes an on-device arrhythmia classification network (ALG-ECG-02).

When the data engineering team retrained the model using an expanded European patient cohort, PMX OS automatically validated specificity against authorized PCCP Protocol 3. It verified that false positive rates remained <0.8% under stress conditions, logging cryptographically signed verification evidence into the DHF without regulatory delay.

5. Expected Value & Governance Outcomes

Deterministic verification of PCCP protocol adherence; complete data lineage from training pixel/signal to model commit; automated alignment with EU AI Act high-risk risk management and post-market monitoring duties.

Audience 04 • Regulatory Affairs

Regulatory Teams: Continuous Intelligence & Automated Predicate Mapping

Regulatory Affairs professionals are traditionally positioned as reactive gatekeepers, forced to assemble monolithic submission binders months after engineering changes have been finalized. PMX OS transitions RA into a continuous, data-driven intelligence function.

1. Specific Operational Pain Points

  • Manual comparison of predicate device specifications using static PDF tables that easily miss subtle technological differences.
  • Ambiguous decision-making on "Letter-to-File" vs. Special/Traditional 510(k) or EU MDR Article 120 Significant Change filings.
  • Lack of real-time visibility into engineering commits that may quietly alter device indications, software architecture, or material biocompatibility.
  • Managing conflicting regulatory timelines and requirements across FDA CDRH, EU Notified Bodies, PMDA, and Health Canada.

2. The Disconnected Workflow

1
Engineering Freeze: R&D completes release v3.8 and submits a change request to Regulatory.
2
Regulatory Scramble: RA specialists spend 3 weeks interviewing hardware engineers, reading test reports, and drafting comparison matrices.
3
Delayed Submission: An unnoticed change in sensor operating temperature requires retroactive bench testing, pushing the submission date by 8 weeks.

3. How PMX OS Solves It

Algorithmic Decision Trees

PMX OS codifies FDA 510(k) modification guidance and EU MDR MDCG guidance into deterministic graph traversal rules. Any proposed design change is instantly evaluated against predicate characteristics and safety boundaries, generating automated regulatory pathway recommendations.

4. Real-World CardioSense Pro Case

Evaluating Change CHG-1024 (transducer swap from S-18 to S-22).

The PMX OS Regulatory Engine evaluates the thermal delta against FDA Guidance "Deciding When to Submit a 510(k) for a Change to an Existing Device". Because the operational surface temperature remains constrained under 41.0°C (IEC 60601-1-11) and verification test V-0183 passes, PMX OS auto-compiles an auditable Letter-to-File package, avoiding an unnecessary 510(k) submission.

5. Expected Value & Governance Outcomes

Defensible, automated Letter-to-File justifications with complete supporting evidence links; continuous synchronization with predicate technological characteristics; eliminated late-stage regulatory filing discoveries.

Audience 05 • R&D and Product Development

Engineering Teams: Downstream Impact Visibility Before Git Commit

Engineers want to build high-performance hardware, embedded firmware, and modern software. They dread traditional compliance workflows that force them into clunky, slow eQMS portals to manually fill out 20-page engineering change order (ECO) justification forms.

1. Specific Operational Pain Points

  • Total lack of downstream visibility: an engineer changing a firmware variable cannot see that it invalidates a risk mitigation verified 6 months ago.
  • Late-stage verification failures during formal design verification (DV), resulting in costly scrap, PCB respins, and schedule slips.
  • Double-entry friction: engineers track work in Jira and GitHub, then have to manually copy summaries into monolithic QMS ECO records.
  • Inability to test "what-if" scenarios for component swaps without triggering premature, irreversible formal ECO workflows.

2. The Disconnected Workflow

A
Firmware Tweak: Embedded engineer modifies the BLE advertising interval in Git to resolve an intermittent connection issue.
B
Unseen Impact: The increased RF activity subtly increases overall enclosure thermal dissipation and drains battery life.
C
Late Failure: During formal EMC/thermal testing in an external certified lab, the unit exceeds IEC 60601-1-11 surface limits, halting verification.

3. How PMX OS Solves It

Shift-Left Regulatory Graph

PMX OS integrates directly into developer toolchains (GitHub, GitLab, Jira, Altium, SolidWorks). When an engineer creates a pull request or commits a CAD revision, the Change Simulator instantly calculates the blast radius, showing affected requirements, risks, and test protocols right in their IDE or PR.

4. Real-World CardioSense Pro Case

Hardware engineering initiated change CHG-1024 in the PMX Sandbox to evaluate substituting transducer S-18 with S-22.

Before placing a purchase order, PMX OS showed that S-22 dissipation impacts requirement REQ-0184 and hazard RSK-0044. The simulator guided the engineer to execute bench test protocol V-0183 first, confirming thermal compliance before committing production tooling.

5. Expected Value & Governance Outcomes

Eliminated verification surprises at formal test lab phase; frictionless developer experience with automatic requirement linkage; zero double-entry between Git/Jira and compliance documentation.

Audience 06 • Quality Assurance

Quality Teams: Continuous Traceability & Deterministic CAPA Blast Radius

Quality managers bear the legal and regulatory burden of proving total design control under ISO 13485:2016 and FDA 21 CFR Part 820 (QMSR). Yet most QA teams are forced to rely on manually maintained Excel traceability matrices that fall out of sync within hours of being signed.

1. Specific Operational Pain Points

  • Traceability matrices that exist as static, disconnected spreadsheets prone to broken links, orphan requirements, and outdated revision references.
  • Post-market complaints (MAUDE, internal MDRs) require weeks of manual archaeology to trace back to underlying design objects and risk assessments.
  • Audit panic: spending 3 to 4 weeks prior to a Notified Body or FDA audit manually reconciling design history files.
  • CAPA investigations that either cast too wide a net (halting unrelated manufacturing lines) or fail to identify all impacted device lots.

2. The Disconnected Workflow

1
Complaint Ingestion: Quality receives a field complaint reporting sporadic localized heat on patient skin during prolonged telemetry.
2
CAPA Investigation: Quality initiates CAPA-2026-088. Engineers, QA, and RA spend 18 days gathering documents across 5 servers to identify which transducer batches were fitted.
3
Audit Finding: The Notified Body issues a major non-conformance for failure to adequately demonstrate continuous risk management (ISO 14971) integration with post-market surveillance.

3. How PMX OS Solves It

Continuous Semantic Traceability

PMX OS replaces static trace matrices with an active, bidirectional knowledge graph. Every user need, functional specification, hardware component, risk analysis node, and verification protocol is linked via typed semantic edges. Any gap or broken trace triggers an instant system alert.

4. Real-World CardioSense Pro Case

Quality links complaint investigation CAPA-2026-088 directly to CardioSense Pro v3.8.2.

By querying the PMX Knowledge Graph, QA immediately isolates the blast radius: Transducer S-18, Requirement REQ-0184 (skin contact ≤41.0°C), and Hazard RSK-0044. The system displays verified test protocol V-0183 and confirms that the replacement transducer S-22 (CHG-1024) safely remedies the thermal anomaly.

5. Expected Value & Governance Outcomes

Deterministic CAPA root-cause scoping within minutes; continuous zero-gap ISO 13485 design traceability; instant push-button audit export for FDA 21 CFR Part 820 and Notified Body unannounced inspections.

Enterprise Implementation

Experience The Connected Knowledge Graph in Action

Whether you are taking a breakthrough device through its first FDA 510(k) or managing an enterprise portfolio across 40 global markets, PMX OS delivers verifiable lifecycle clarity without disrupting your engineering momentum.