Pharma Regulatory Label Request Email Analyzer

This tool uses a custom-trained large language model (LLM) to extract structured regulatory entities from pharma emails — including project names, label types, dependencies, and target dates. Unlike basic keyword filters, this model understands context, acronyms, and phrasing variations, making it ideal for tracking PI updates, RA status, and submission blockers. Try analyzing one of the example emails, make up your own or cut and paste a real email into the interface.
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📋 Example Emails

Email 1: NeuroVance PI update with CMC dependency
Email 2: Dual project label status
Email 3: RA delay on OncoBright

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