Reducing analysis preparation time from 1-2 weeks down to 3-4 hours, freeing strategists for client-facing work and enabling the organization to scale project volume without proportional headcount growth.int
Meet our client
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Client’s Challenge
A healthcare commercialization platform partners with pharma companies to support them in bringing products to market. Its strategists have to synthesize large volumes of fragmented data from scientific databases, market reports, clinical sources, and internal materials — a time-consuming process taking 1-2 weeks per project and creating a ceiling on team throughput.
Our Solution
We created an AI-powered solution that automates research aggregation and synthesis for pharma launch projects. Given a disease name, target market, and optional documents, the system processes data through modular LLM components and generates structured reports with a human-in-the-loop review layer. The platform is available both as a web application and MCP server, allowing strategists to access it directly from the AI tools they already use, such as Claude Code or ChatGPT.
Client’s Benefits
Reducing analysis preparation time from 1-2 weeks down to 3-4 hours, freeing strategists for client-facing work and enabling the organization to scale project volume without proportional headcount growth.int
