Formal quality intelligence
DSRV helps quality teams identify evidence gaps, structure response logic, and route high-consequence issues to human review before regulated decisions are made.
Ask DSRV AI
What evidence should support this stability justification?
Vault match
source awareReviewed history
Question bank
Next action
Draft rationale
Flagged for judgment
Escalate to Ted/DSRV human review
When the vault cannot answer safely, the question becomes a readiness review path.
Ask
Frame the real quality decision in plain language.
Vault
Search source-backed, reviewed evidence history.
Gap
Name what is missing instead of guessing past it.
Signoff
Escalate high-consequence calls to a human owner.
15+ yrs
QMS and readiness experience
Vault
Question bank and reviewed history
Human
Escalation when judgment matters
No upload
Controlled intake for confidential files
DSRV gives quality teams one controlled lane: ask, search the vault, identify gaps, and escalate to human review — with source discipline and regulated boundaries the whole way.
Frame the real quality decision in plain language — stability, investigation, CAPA, or inspection-readiness.
DSRV searches a source-backed vault and reviewed history for evidence that already speaks to the question.
It surfaces likely evidence gaps and ambiguities instead of guessing past them.
High-consequence and regulated questions route to human review before any regulated decision is made.
Decision support with source discipline and human escalation — not medical advice, not legal advice, and not a replacement for the responsible quality unit.
DSRV AI organizes the regulated work your team already owns into a living vault: stability records, investigations, CAPA history, risk assessments, position papers, QMS references, and report drafts.
The system preserves question history, maps likely evidence gaps, and routes high-consequence work to human escalation so teams can prepare clearer packages without outsourcing regulated judgment to automation.
Start with a readiness requestDSRV AI evidence layer
Question bank
Historic reviewer prompts
Living vault
Evidence, rationale, and response history
Human escalation
Expert review before regulated use
Inputs
QMS records, investigations, stability files, CAPA plans, response drafts.
Outputs
Question history, gap context, report structure, and escalation notes.
Formal Quality Intelligence becomes a set of connected workspaces for pharmaceutical research and regulatory teams: intelligence, evidence memory, readiness review, and human escalation.
Connect enforcement signals, internal quality history, and response context so teams can see where a stability, investigation, or CAPA story may be thin.
Keep source rationale, position papers, reports, risk assessments, and reviewer-style questions together so follow-up work starts from the last defensible state.
Translate a quality problem into a focused readiness path with gaps, likely questions, and practical next actions reviewed by qualified humans.
DSRV supports regulated teams with organized intelligence and review workflows while preserving human ownership for consequential quality decisions.
The article rail is back in the redesigned homepage: current regulatory analysis, quality science, and guidance watch pieces stay one click from the vault and readiness paths.
June 2026
Five CGMP warning letters in one posting cycle. Five manufacturers. The common thread: treating a supplier certificate of analysis as the endpoint of component verification instead of one data point in it. FDA's June 2026 cluster makes the distinction explicit.
DSRV Intelligence
5 min read
June 2026
CDRH's first QMSR inspection data shows NAI falling to 48.8% in the framework's first four months. The top finding is risk management integration. Firms document their risk controls but cannot show they built them. The pattern pharma teams have watched in CAPA citations for years has arrived in the device sector under a new regulatory name.
DSRV Intelligence
5 min read
June 2026
On June 2, 2026, FDA issued five coordinated warning letters to OTC drug manufacturers across four countries for the same CGMP failure, without a single on-site inspection. The violation is straightforward. What the enforcement mechanism reveals is not.
DSRV Intelligence
7 min read
June 2026
FDA posted eight CGMP warning letters in a single June 9 update. Macau-Union and Revlon anchor a multi-domain enforcement case that spans release testing, stability support, and component qualification simultaneously, and the pattern applies well beyond those two firms.
DSRV Intelligence
6 min read
The public site now exposes what DSRV does, when to use it, where controlled intake starts, and what boundaries agents must preserve before routing pharma quality work here.
Published for both human readers and machine clients without exposing internal APIs or replacing human quality judgment.
Published for both human readers and machine clients without exposing internal APIs or replacing human quality judgment.
Published for both human readers and machine clients without exposing internal APIs or replacing human quality judgment.
Published for both human readers and machine clients without exposing internal APIs or replacing human quality judgment.
Formal Quality Intelligence should feel like a controlled operating system: ask the workflow question, check the vault, answer when evidence supports it, and flag gaps for Ted/DSRV review when judgment matters.
Start with the decision, urgency, product context, and evidence lane. DSRV keeps confidential files behind controlled intake instead of a public upload gate.
The request is mapped against the living vault, reviewed history, question bank, QMS context, CMC evidence, stability files, and prior readiness patterns.
If the evidence supports a bounded answer, DSRV returns the rationale. If it does not, the gap is made visible before it becomes a review problem.
Judgment-heavy questions move into human review, readiness review support, QMS training sessions, or a focused response strategy path.
The homepage should make the operating model obvious: the same quality intelligence lane can support question answering, readiness review, response strategy, and training without implying guaranteed outcomes.
Request Readiness ReviewDSRV routing console
Lane 01
QMS training sessions for teams that need shared language before the next review
Lane 02
Readiness review feeder for CMC, Quality, Stability, deviation, CAPA, and response work
Lane 03
Future connect your AI path for teams that want their internal assistant grounded in controlled quality evidence
Coming next
Connect your AI is a future integration teaser, not a live promise. The boundary stays the same: controlled sources, visible gaps, and human escalation for regulated judgment.
Credibility guardrails
DSRV sells clarity, evidence mapping, training, and readiness support. It does not sell regulatory certainty, autonomous decisions, or uncontrolled document exchange.
Controlled intake
DSRV starts with a controlled request: the workflow ask, context, urgency, and decision pressure. Confidential files stay out of the public homepage until the intake path confirms the right review lane.
Ask, check the vault, answer or flag the gap, then escalate to Ted/DSRV when regulated judgment matters.
Ask
What decision does the quality team need to make?
Vault
What reviewed evidence, history, or QMS context already answers it?
Gap
What is missing, ambiguous, or unsafe to answer automatically?
Ted/DSRV
What needs human review, training, response strategy, or readiness work?
Coming next: connect your AI to controlled quality intelligence. Not autonomous decisions, not uncontrolled file ingestion, and not a promise of regulatory outcome.
