AI-native quality operations that amplify your team, work inside your infrastructure, and compound knowledge across every audit, every CAPA, every decision.
The organizations that will lead the next decade of this industry aren’t the ones with the biggest quality teams. They’re the ones whose teams move faster, remember more, and connect signals that are currently invisible.
The convergence of QMSR with ISO 13485, the tightening of EU MDR expectations, and increased inspection cadence mean your quality system is examined more often and against a more demanding standard. Inspectors have read your prior submissions, your prior responses, and your industry peers’. Consistency across years, facilities, and product lines is no longer a best practice — it’s a prerequisite.
The people best at writing defensible CAPAs, structuring root cause analyses, and preparing for audits are the same people pulled into every submission, every remediation, every front-room. You cannot hire your way out of this. The talent isn’t there, and even if it were, the ramp for a regulatory engineer is measured in years, not quarters.
Complaint handling, field service dispatch, supplier change notifications, design releases, manufacturing lot data — all of it exists. Connecting these into the story that drives an executive decision still happens in spreadsheets, weeks after the pattern emerged. By the time the quarterly report lands, the window for an inexpensive fix has closed.
Every audit teaches your organization something. Every CAPA closed effectively is a pattern worth remembering. That pattern lives in a senior engineer’s head — until it doesn’t. The next inspector asks the same questions, and your team answers them from scratch, without the benefit of what the organization has already learned.
You don’t need another system of record. You need your existing systems to work harder — and an intelligence layer that remembers what you’ve learned.
Each module shares a common curated data layer built from your existing systems — TrackWise, SAP, complaint handling, document management, field service. No rip-and-replace. No new source of truth. Just intelligence, layered on what you already have.
When the inspector opens a topic your team didn’t anticipate, the back room surfaces every prior response, every cited document, and every related observation in seconds. Front-room and back-room share a live view. Institutional knowledge compounds with every audit, so the next one is easier than the last.
Multi-persona mock inspections modeled on real agency behavior. Configurable scopes — surveillance, follow-up, for-cause, pre-approval. Three-dimension scoring tells your team where they’re strong, where they’re thin, and exactly what to practice. Built to rehearse the inspections you haven’t been through yet.
Methodology guidance at the start of a CAPA. Authoring assistance during investigation. Validation after analysis. Review before submission. Collaborative AI lets the engineer, the reviewer, and the SME work with shared context in parallel — no more information loss in serial review cycles, no more avoidable rework.
Continuous signal detection across complaint, field service, supplier, and design data. Cohort analysis that segments events by any dimension — design release, supplier, lot, geography, product line. A conversational interface for executives, managers, and engineers alike — grounded in your data, with citations every time.
NST deploys inside your cloud environment, runs on your compute, and uses the model services you’ve already approved. Data never leaves your boundary. No new attack surface. Your existing security controls apply without modification.
Every component runs inside your cloud infrastructure on compute you control.
You procure LLM, STT, and TTS services through your existing agreements. No markup. No lock-in.
Works alongside TrackWise, SAP, and your existing stack. Never a replacement, never the system of record.
No AI output reaches your systems of record without human review and explicit approval.
No external-facing endpoints. No inbound connections. No data stored outside your environment. The platform operates within the security boundary your team has already designed, audited, and approved.
Not a reorganization. Not a rip-and-replace. A different relationship between your team, your systems, and your data.
Your team walks into the front room with every prior response, every cited document, and every related observation already structured and ready.
Root cause analyses trace cleanly to corrective actions. Effectiveness criteria are measurable. Reviewers spend time on judgment, not formatting.
Complaint clusters, field service anomalies, and supplier quality shifts reach the right audience while the window to act is still open.
Thinking. Judgment. Escalation. Not writing up what the investigation already established, or formatting what the review has already identified.
Every audit, every CAPA, every investigation adds to a living institutional record. Retirement stops being a risk event.
We work with medical device manufacturers under active regulatory pressure who can’t wait twelve months for a build-in-house effort to pay off. If that’s you, let’s talk.