Production · 66 Sprints · 350+ Endpoints

The AI-Native
Pharmacovigilance
Platform

SafetySignal AI automates adverse event detection, causality assessment, regulatory reporting, and benefit-risk evaluation — powered by a 7.6B parameter PV model trained on real-world safety data.

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3K+
Cases Processed
94%
CIOMS XIV Compliant
3s
Causality Assessment
Live Signal Queue
● 3 Active Alerts
🚨
Amoxicillin → Anaphylaxis
10 cases · 15-day expedited required
CRITICAL 92
⚠️
XARELTO → Death
7 cases · HIGH priority
HIGH 68
📊
JAKAFI → Thrombocytopenia
PRR 16.1 · 3 methods detecting
MED 46
E2B(R3) XML Generated
FDA FAERS · 3,585 chars · 0.02s
READY
ICH E2B(R3)
GVP Module VI/IX
21 CFR Part 11
CIOMS XIV
FDA FAERS
EMA EudraVigilance
Platform Capabilities

Every PV Workflow,
Powered by AI

From case intake to regulatory submission — SafetySignal AI replaces manual workflows with AI-native automation in seconds, not days.

🧠
AI Causality Assessment
Three-algorithm consensus using Naranjo, WHO-UMC, and Kramer — powered by SafetySignal-PV-7B v3, a 7.6B parameter model fine-tuned on real adverse event data. 80% agreement with Claude Sonnet 4.
SafetySignal-PV-7B v3
📊
Signal Prioritization Scoring
Composite priority score combining PRR/ROR/IC/EBGM, causality strength, clinical severity, case volume, and novelty. A ranked queue that Oracle Empirica cannot produce alone.
BRAT Framework · Sprint 60
⚖️
Benefit-Risk Assessment
World's first AI-native BRAT benefit-risk evaluation engine. ICH E2C(R2)-aligned assessments from case data in under 50ms — a capability no legacy PV platform offers.
First-in-Class · Sprint 66
🏷️
Labeling Gap Detection
Automated listedness determination — cross-references signals against product labeling to flag unlisted AEs requiring 15-day expedited reporting per ICH E2B(R3).
ICH E2B(R3) · Sprint 62
📋
E2B(R3) XML Generator
Submission-ready ICH E2B(R3) ICSRs with all required fields generated in milliseconds. Patient demographics, drug details, causality assessment, narrative — FDA and EMA formats.
FDA · EMA · Sprint 65
📚
Literature Surveillance
Automated PubMed portfolio surveillance — extracts AE signals from abstracts, cross-references against case DB, and flags literature-only signals not yet in FAERS data.
PubMed API · Sprint 61
📈
Signal Trending Over Time
Week-over-week signal emergence tracking across 344+ drug-AE pairs. Identifies NEW, RISING, DECLINING, and STABLE signals with WoW% changes for regulatory intelligence.
Portfolio Level · Sprint 63
📄
ICH Narrative Generation
ICH E2B-compliant individual case narratives auto-generated from structured data with completeness scoring and quality grading A–D. Eliminates manual PV authoring.
ICH E2B · Sprint 59
🏥
Regulatory Intelligence Dashboard
Consolidated compliance status, KPI tracking, deadline alerts, signal queue, and risk heatmap — aggregated from 130+ CIOMS XIV tables. Platform health score included.
CIOMS XIV · Sprint 64
Integrations

Native Oracle
Argus Integration

SafetySignal AI connects directly to Oracle's PV ecosystem — augmenting Argus Safety, Empirica Signal, and Argus Mart without replacing your existing infrastructure.

🔗
Argus Safety Bidirectional Sync
Real-time case data exchange with Oracle Argus Safety via REST API and E2B messaging. SafetySignal enriches Argus cases with AI-generated causality assessments and narratives.
📡
Empirica Topics SOAP API
Connect to Oracle Empirica Topics Web Service to import signal detection results and augment with SafetySignal's composite priority scoring and benefit-risk assessment.
🗄️
Argus Mart Data Connector
Direct read access to Argus Mart analytical data warehouse. Pull aggregate safety data and case listings into SafetySignal's regulatory intelligence dashboard.
☁️
OCI Kubernetes Deployment
Deploy SafetySignal AI alongside Oracle Cloud Infrastructure using validated Terraform and Kubernetes manifests for GxP-compliant enterprise deployments.
Ora
Oracle PV Ecosystem
SafetySignal AI Integration Matrix
Oracle Argus Safety (Cloud)
LIVE
Argus Mart Data Connector
LIVE
Empirica Topics SOAP API
LIVE
Oracle Clinical One (SAE)
READY
GVP Module IX Workflow
READY
OCI Kubernetes / Terraform
READY
Oracle Health Sciences InForm
PLANNED
Oracle Analytics Intelligence
PLANNED
Platform Demo

See SafetySignal AI in Action

Watch the full platform walkthrough — from case intake to E2B(R3) submission in under 4 minutes.

SafetySignal AI — Full Platform Walkthrough
Click to play · 4 min · Live system demo
Workflow

From Case Intake to
Regulatory Submission

01
Automated Case Intake
FAERS bulk import, EMA feed, manual upload, or REST API. AI triage assigns priority and routes cases to the assessment pipeline in real time.
02
AI Causality Assessment
SafetySignal-PV-7B v3 runs Naranjo, WHO-UMC, and Kramer algorithms in parallel. Three-algorithm consensus in under 3 seconds per case.
03
Signal Prioritization
PRR, ROR, IC, EBGM disproportionality plus composite priority scoring. Rising signals auto-flagged with labeling gap analysis.
04
Regulatory Output
ICH E2B(R3) XML, CIOMS I forms, PSUR packages, benefit-risk assessments, and ICH narratives — submission-ready in seconds.
Performance

Built for Enterprise Scale

3s
Causality Assessment
94%
CIOMS XIV Compliance
80%
Model-Claude Agreement
350+
API Endpoints
66
Production Sprints
Insights

PV Intelligence &
Industry Insights

View all articles →
🧠
AI in Pharmacovigilance
Why Oracle Argus Cannot Compete with AI-Native Pharmacovigilance
Legacy platforms bolt AI onto existing workflows. SafetySignal builds from the model up — and the difference shows in every causality assessment.
Read on Insights page →
📋
Regulatory Science
Automating ICH E2B(R3) Submissions: The End of Manual ICSR Authoring
E2B(R3) XML generation is largely manual today. SafetySignal automates the full ICSR lifecycle from structured case data to submission-ready XML.
Read on Insights page →
⚖️
Signal Science
The BRAT Framework for AI: Building the First AI-Native Benefit-Risk Engine
Benefit-risk assessment is one of the most complex judgment calls in regulatory PV. Here's how we encode the BRAT framework into an automated scoring system.
Read on Insights page →
Careers

Build the Future of
Drug Safety

Remote-first, mission-driven. We're looking for people who care deeply about patient safety and love hard problems.

View Open Roles →
Senior Pharmacovigilance Scientist
Remote
AI/ML Engineer — Life Sciences
Remote
Regulatory Affairs Director
Remote
Enterprise Sales — Pharma/Biotech
Remote
Clinical Data Scientist
Remote