FDA Submission Verification
Deploy a multi-agent swarm to autonomously cross-check and verify massive FDA submission documents against regulatory rubrics and internal clinical data to eliminate formatting errors and data contradictions.
The Baseline
FDA submissions are frequently delayed due to formatting errors or contradictory data points across thousands of pages. Manual review processes are prone to human fatigue, leading to "Refuse to File" (RTF) letters and months of delayed market entry.
Model Orchestra deploys a swarm of verification agents to cross-check every data point in a submission against strict FDA rubrics and internal datasets.
Prevents costly submission rejections and accelerates time-to-market for new drugs. Regulatory teams ensure flawless, mathematically verified submissions on the first attempt.
Architecture Flow
Document Ingestion
Regulatory teams upload the drafted New Drug Application (NDA) or Biologics License Application (BLA) into the secure AVELIN workspace.
Rule Retrieval (Y-Ray Data)
The Orchestration Engine queries Y-Ray Data to instantly pull the exact, up-to-date FDA formatting guidelines (eCTD) and the raw, internal clinical trial datasets required for validation.
Multi-Agent Swarm (Model Orchestra)
A specialized swarm of AI agents is deployed simultaneously. "Agent A" scans for structural compliance, "Agent B" cross-references statistical p-values against raw lab data, and "Agent C" ensures narrative consistency.
Cognitive Synthesis & Correction
If Agent B flags a discrepancy (e.g., a data table in section 3 contradicts a written summary in section 1), the agents cross-verify against the raw source data and propose the mathematically verified correction.
Core Infrastructure
| Component | Role |
|---|---|
| Model Orchestra | Orchestrates the specialized multi-agent swarm, assigning distinct verification tasks (formatting, statistical, narrative) to different models to ensure comprehensive quality assurance. |
| Y-Ray Data | Acts as the immutable source of truth, grounding the verification agents in the actual clinical trial results and current FDA guidance documents to prevent hallucinated corrections. |
| y-ray Deep-Trace | Generates an immutable audit log of every flagged discrepancy and corrected data point, proving to internal QA teams exactly how the submission was validated before filing. |
Technical Specifications
AES-256 for data at rest; TLS 1.3 for data in transit
FDA 21 CFR Part 11 (electronic records) and strict eCTD submission standards
Deploys natively inside your existing AWS/Azure VPC or entirely on-premise on secure corporate servers
Build this architecture
Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.
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