We built an AI-powered app that automates literature review and evidence synthesis within the IEGP process using autonomous LLM-based agents.
Meet our client
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Client’s Challenge
The client’s IEGP process was largely manual, requiring extensive literature searches and evidence synthesis to develop or validate study proposals. Limited in-house experience with LLM agents in regulated pharma workflows made it difficult to design a scalable, production-grade solution.
Our Solution
We built an AI-powered app that automates literature review and evidence synthesis within the IEGP process using autonomous LLM-based agents. The system is implemented with a FastAPI backend, PostgreSQL for structured data storage, and MLflow for agent tracing, and integrates directly with the client’s internal databases and literature search tools. Pharma-specific prompts ensure regulatory alignment and allow new data sources and workflows to be added incrementally.
Client’s Benefits
The solution accelerates IEGP development from weeks to days, automates evidence gathering through AI agents, frees specialists for higher-value decision-making, and enables faster iteration in response to new scientific and market data.
