CASE STUDY

Generative AI Workflow Cuts Regulatory Reporting Time by 4X for Leading RNAi Therapeutics Company

Key Highlights

  • 4X Faster Turnaround: Slashed the time required to generate audit-ready Pre-IND safety dossiers from ~160 hours to just ~40 hours per molecule.
  • 96% Factual Accuracy: Achieved near-perfect scientific accuracy and 97% citation quality in AI-generated summaries, verified through a rigorous "LLM-as-a-judge" framework.
  • Custom Agentic Workflows: Leveraged the Polly Platform to replace error-prone manual literature curation with autonomous, task-specific agents capable of deep scientific inference.
  • Zero Headcount Scaling: Enabled the regulatory and bioinformatics teams to support a rapidly growing pipeline of 20+ active therapeutic programs without adding staff.
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