Events
observed
Flockion gives life sciences teams AI agents that detect safety signals, synthesize clinical data, prepare regulatory submissions, and monitor literature — with the audit trail GxP demands.
Manual processes in a domain where speed, accuracy, and auditability are all non-negotiable.
Adverse event signal detection relies on manual literature monitoring that misses signals across thousands of publications
Clinical trial data synthesis takes weeks of analyst time before insights reach decision-makers
Regulatory submission packages are error-prone when assembled manually from multiple source systems
Pharmacovigilance reporting deadlines (15-day ICSRs, PSURs) are tight and margin for error is zero
SOP and GxP documentation is scattered, out of date, and difficult to keep consistent across sites
Medical literature monitoring consumes significant researcher bandwidth with low automation
Pharmacovigilance, clinical data, regulatory submissions, and literature — agents that handle the volume with GxP-grade traceability.
Agents continuously monitor medical literature, case reports, social signals, and spontaneous reporting databases for emerging adverse event signals — 24/7, across all sources.
Action required
Under review
Within threshold
Aggregate and synthesize data across trial cohorts, time points, and endpoints. Agents produce structured summary tables and narrative sections ready for medical review.
Inputs
3 sources
Agent analysis
Running
Output
Ready
Agents assemble, format, and cross-reference CTD, PSUR, PBRER, and IND/NDA sections — reducing preparation time and catching inconsistencies before submission windows close.
Systematic literature review agents scan journals, preprints, and databases weekly. Curated summaries are delivered by therapeutic area — structured for medical reviewer consumption.
Action required
Under review
Within threshold
A knowledge agent grounded in your regulatory dossiers, approved labels, and submission history. Answers pharmacovigilance and regulatory questions instantly with cited sources.
This action requires Risk Owner approval before execution.
Drafts, reviews, and maintains SOPs, batch records, and GxP documents with version control. Every change is tracked, approved, and logged for inspection readiness.
ICH E2 · GVP · CFR Part 11 · GCP · GMP · GDPR — compliance that auditors and regulators can actually verify.
Every agent action — what source was read, what was extracted, what was produced — is logged immutably with timestamps. Ready for FDA and EMA inspection.
No pharmacovigilance signal, regulatory submission, or label change is finalized without qualified medical reviewer sign-off. Every decision is captured and attributed.
Ground agents in your approved regulatory dossiers, reference databases, and product labels. Outputs cite source, version, and section — traceable at every step.
Deploy within your GxP-validated cloud environment. Patient data and proprietary compound information never leave your boundary. Full VPC options available.
Platform capabilities built for the traceability and control that GxP environments require.
| Platform capability | What it does for life sciences teams |
|---|---|
| Knowledge Hub | Ground agents in your regulatory dossiers, product labels, clinical protocols, and approved SOPs. Semantic search across your entire life sciences document library. |
| HITL Inbox | Pharmacovigilance decisions, regulatory submissions, and label change recommendations require human medical reviewer sign-off before action. Every approval is logged. |
| Run Timeline & Audit Logs | Full immutable trace of every agent run — what literature was reviewed, what signals were identified, what was included in each submission. GxP-compliant audit trail. |
| Workflow History | Searchable history of every literature review, signal assessment, and submission task — with version tracking and full output history for inspection readiness. |
| Org Policy | Define approved data sources, content restrictions for promotional material, and escalation thresholds for safety signals — enforced automatically across all agents. |
| Observability | Monitor signal detection coverage, review throughput, submission SLA adherence, and literature monitoring completeness across therapeutic areas and markets. |
Pre-built team blueprints for pharmacovigilance, clinical, and regulatory workloads.
Signal Manager · Literature Scanner · Case Report Analyst · Signal Assessor · ICSR Drafter
Data Manager · Cohort Analyser · Endpoint Synthesiser · Table Generator · Narrative Writer
Submission Manager · CTD Assembler · Cross-reference Checker · Format Validator · Timeline Tracker
Review Coordinator · Journal Scanner · Abstract Screener · Evidence Grader · Summary Writer
Agent output examples
The same structured output contract powers submission assembly in chat, pharmacovigilance signals in the Feed, proof, export, and task handoff.
Submission Assembly Team
Generated from governed clinical and regulatory evidence
Efficacy and safety evidence synthesized from two pivotal Phase 3 studies; one endpoint needs medical review.
Evidence confidence
Study operations · endpoint evidence · deviations · safety
Pivotal Studies
2 studies| Study | Phase | Population | Arms | Grade |
|---|---|---|---|---|
| NCT0198Phase 3 efficacy vs standard of careComplete | 3 | n=842 | Drug vs SoC | High |
| NCT0212Phase 3 long-term safetyComplete | 3 | n=610 | Open-label | Moderate |
Endpoint Comparison
2 endpoints| Endpoint | Treatment | Comparator | Effect | Grade |
|---|---|---|---|---|
| Overall response rate | Drug | SoC | +12.4%p=0.002 | High |
| Progression-free survival | Drug | SoC | HR 0.68p=0.004 | Moderate |
| Label | Event-free patients % |
|---|---|
| 0 mo | 100 |
| 3 mo | 91 |
| 6 mo | 78 |
| 9 mo | 67 |
| 12 mo | 58 |
Pharmacovigilance Signal Agent
Approved output pack - public snapshot redacts patient-level data
Disproportionate reporting of hepatic events triggers a signal review.
Events
observed
Actions
observed
Evidence confidence
Study operations · endpoint evidence · deviations · safety
Signals Under Review
2 signals| Event | Cases | Severity | Source | Deadline |
|---|---|---|---|---|
| Hepatic enzyme increased10019837assessing | 27 | high | FAERS | 15 days |
| Nausea10028813monitored | 58 | low | Spontaneous | — |
Connected intelligence canvas · trace dependencies and impact paths
5
Entities
4
Links
2
Attention
| Label | Cases |
|---|---|
| Mar | 4 |
| Apr | 6 |
| May | 9 |
| Jun | 13 |
Safety signal escalation sequence
Governed handoffs from automated detection to the accountable safety decision.
Temporal investigation · 3 events across 3 lanes
3
Events
0
Exceptions
1
Complete
Signal detected
Disproportionality flagged in FAERS
Signal validation
Observed event in the investigation sequence.
QPPV notification
Observed event in the investigation sequence.
Recommendations
Open signal evaluation and notify QPPV
high impactTalk to our team. We'll design a deployment that meets your GxP requirements, supports your regulatory obligations, and scales with your pipeline.
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