Medical Devices
Pozent powers medtech with an AI-incubator R&D engine, regulatory-grade analytics, and next-gen digital solutions — uniting virtual engineering, IIoT telemetry, and touchless data harmonization to accelerate design, testing, and global market readiness.
Data Management & Standards
- AR/VR/MR and SmartGlass-based digital surgery, equipment assistance, and remote training to raise OR efficiency and reduce training overhead.
- Digital patient journey insights and risk-scoring (example: TKA complication risk models) to inform treatment choices and post-op planning.
- IIoT / GPS / Beacon architectures for real-time tracking of patients, carts, and capital equipment across facilities.
- Intelligent telemetry for preventive maintenance, utilization analytics, and asset re-allocation.
- Remote assistance workflows, simulated procedure training, and on-device AR overlays to reduce time-to-competency for surgical teams.
- End-to-end device lifecycle support: design → model → make → manage → move, with embedded QA checkpoints and traceability.
- Material Degradation Analysis, microbiology test automation (e.g., antibacterial suture zone-of-inhibition measurement) and automated QC reporting.
- Partnership-driven Digital Labs to co-innovate product features, pilot integrations, and accelerate lab-to-product handoffs.
- In-house AI Appstore to deliver packaged models and apps to end users rapidly.
- Touchless ingestion platform to unify Product, Sales, and external sources (US/OUS), enabling cross-country segmentation, targeting, and personalized responses (including China-specific workflows).
- Near real-time competitor intelligence using demographic and market signals; EVM (engagement value) scoring to funnel and qualify market adjustments per engagement.
- Intelligent workflows for Global Total Market Management: distribution, market share funnels, growth and point-difference analytics.
AI Incubator, R&D & Engineering Ops (Operational Model)
LRFP & Forecasting
- Fact-based and historic models for LRFP with auto pre-population of growth rates (use MedTech growth rates or historic sales when unavailable).
- Apply ML algorithms and semantic layers to blend external data sources for Operational Forecasts, LRFP and decision-support reports.
Tie-out & Regional Adjustments
- Tie-out processes to ensure market totals reconcile across countries and regions (EMEA, APAC, LATAM), adjusting for regional variances.
Operational Forecasting
- Semantic layer with multi-source intelligence to generate reports for product launches, pricing decisions, and market entry strategy.
AI Incubator, R&D & Engineering Ops (Operational Model)
Incubator Vision & Factory Framework
- Build a factory framework that generates R&D value by developing SOTA language models and domain models using the latest ML/LLM capabilities.
- Deliver a reproducible path from ideation to production: ideate → governed experiment → package → harden → ship → support.
Ideate
- Select, evaluate, and prioritize feature ideas, data sources and candidate model families using domain and regulatory filters.
Governed Experimentation
- Feature transformation, engineering, modeling, scoring, and automated evaluation under versioned governance and audit trails.
- Use Microsoft and OpenAI platforms plus MLOps/LLMOps best practices for bias & accuracy measurements, ground truth adjustments, and security controls.
Package & Deliver
- Hardened model packaging, model shipment, product support and flexible architecture for on-prem, cloud, or hybrid deployment.
- AI Appstore to catalog and distribute validated models and apps to business users.
Operate & Monitor
- Performance monitoring, model drift detection, DQ triaging, alerts & notification management, and rapid retrain pipelines.
- Steady-state MLOps and LLMOps: bias & accuracy measurements, cost/API/security control, and transparent explainability.
Proven Outcomes
Regulatory Affairs
Analytics & MDR
Regulatory Affairs Analytics & MDR
Harmonized analytics and reporting platform for global medical device regulatory information management and product license reporting.
Core data and analytics capabilities to support MDR compliance requirements (EU & outside EU), submission readiness, and post-market surveillance.
Robotic Instrument Testing
& Virtual Engineering
Robotic Instrument Testing & Virtual Engineering
Next-gen cloud data management and analytics for robotic instrument performance and the instrument development lifecycle.
Virtual engineering: elastic HPC environments (AWS) to speed simulations and improve engineers’ productivity for computational modeling.
Clinical & Lab
Data Management
Clinical & Lab Data Management
Labs Information Data Management: ingest Electronic Lab Notebooks (ELN) and provide analytics for lab scientists.
Clinical high-performance compute: GxP-compliant cloud solutions for study data management, cross-study analysis, and regulatory submission support.
Other Targeted
AI Initiatives
Other Targeted AI Initiatives
Auto-document generation for R&D, literature screening for evidence generation, cognitive search, predictive patient range-of-motion models, and automated metadata tagging and EDA.
Microservices for auto-measurement tasks (e.g., antibacterial sutures), predictive maintenance of devices, and material degradation forecasts.
Proven Outcomes
Harmonized regulatory analytics and reporting platform that supports MDR compliance and global license management.
Faster engineering cycles via elastic HPC and virtual engineering for robotic instrument R&D.
Productionized AI models for risk scoring (e.g., TKA complication prediction), improving clinical decision support.
Near real-time market and competitor intelligence enabling data-driven segmentation, EVM scoring, and smarter market adjustments.
Touchless data ingestion and digital harmonization that converts fragmented sales/product feeds into analytics-ready assets.
Packaged, governed model delivery (AI Appstore) for rapid, auditable deployment and ongoing model operations.
GxP-compliant high performance compute environments for clinical analytics and regulatory submissions.
Labs and ELN ingestion pipelines that accelerate lab analytics and close the loop between bench and product teams.