Overview
AI-powered analyst for clinical trials, efficacy data, and competitive intelligence. Upload PDFs, Excel files, images, or URLs to get instant analysis with automatic citations. Built with Claude Sonnet 4 featuring vision capabilities for analyzing charts and figures.
Data Sources: 🧬 Gosset.ai Pharmaceutical Intelligence • 🔬 ClinicalTrials.gov • 📚 PubMed E-utilities
Gosset.ai Integration: Access Phase Transition Rates (PTRs) and trial benchmarks across 100K+ drug assets via live MCP connection. Provides evidence-based success predictions with hybrid live/simulated mode.
Key Features
Clinical Trial Analysis
Extract efficacy endpoints (ORR, PFS, OS), p-values, confidence intervals, and safety signals from Phase 1-3 trial reports. Vision AI reads charts and statistical tables automatically.
Pharmaceutical Intelligence
Gosset.ai integration provides Phase Transition Rates, trial success predictions, and design benchmarks (sample sizes, endpoints, durations) across indications and modalities.
Competitive Intelligence
Compare competitor trials, analyze ClinicalTrials.gov entries, extract insights from press releases and conference presentations. Multi-document synthesis across sources.
Multi-Format Processing
Handles PDFs, Excel/CSV, images (PNG/JPG), and URLs. Upload up to 5 files (10MB max) simultaneously. All insights include automatic source citations.
Literature Search
Direct PubMed access to 35M+ biomedical publications. Search by indication, drug, biomarker, or endpoint. Retrieve abstracts, citations, and study metadata in real-time.
Citation Tracking
Every insight references its source document with inline citations [Source: filename.pdf]. Track document history with timestamps for audit trails and compliance.
🤖 NEW: Sonny Multi-Agent Collaboration System
Now available: Combine the Clinical Data Analyst with Patent Expert and Financial Analyst for comprehensive biotech deal analysis.
Perfect for:
- M&A Due Diligence - Clinical data + IP analysis + financial modeling
- Investment Decisions - Integrated risk assessment across all dimensions
- Competitive Intelligence - Clinical benchmarking + patent landscape + market sizing
- Licensing Deals - Technology assessment + IP strength + deal structuring
Coordinated by Sonny, the agents work together, asking each other questions and building on insights to provide strategic recommendations.
✨ Try Sonny Multi-Agent Collaboration
Experience how Sonny orchestrates specialized AI agents to analyze complex scenarios.
Launch Multi-Agent Demo →Example Questions
Efficacy Analysis:
- "What's the Phase 2→3 success rate for Alzheimer's Disease? Use Gosset.ai to estimate trial probability."
- "Compare CAR-T therapy PTRs by indication. What are melanoma vs lymphoma success rates?"
Safety & Competitive Intelligence:
- "Identify all Grade 3+ adverse events and compare to competitor X's Phase 2 safety profile."
- "Benchmark our Phase 2 trial design: What sample sizes and endpoints are typical for MS trials?"
Ask the agent for a comprehensive list of analysis types, query templates, and advanced capabilities.
Future Enhancements
Live Now ✅
- ✅ Citation Tracking - Every insight references its source document
- ✅ Sonny Multi-Agent Collaboration - Combine Clinical + Patent + Financial analysts for comprehensive deal analysis (Try it now)
Coming Soon
- 📊 Data Visualization Export - Auto-generate charts from analysis
- 📁 Batch Processing - Compare up to 4 trials simultaneously with structured comparison tables
- 💾 Structured Data Export - Download findings as CSV/JSON for further analysis
- 📈 Export to BI Tools - Direct integration with Tableau and Power BI
Roadmap
- 🔍 Historical Benchmarking - Compare results to database of approved therapies
- 🔐 Audit Trail - Complete logging of queries and responses for regulatory compliance
- 📋 Report Templates - Pre-configured analysis formats for common use cases
Technical Details
Click to expand technical implementation details
AI Model
- Claude Sonnet 4 (claude-sonnet-4-20250514)
- Vision API for image and chart analysis
- 200K token context window
Document Processing
- PDF parsing via pdf-parse library
- Excel/CSV processing with xlsx and papaparse
- HTML extraction with cheerio for URLs
- Base64 encoding for image analysis
API Integrations
- Gosset.ai MCP server (SSE transport)
- ClinicalTrials.gov API v2
- PubMed E-utilities (NCBI)
Architecture
- Next.js 14 with App Router
- TypeScript for type safety
- Server-side API routes for document processing
- Client-side React components for interactive UI
Security
- Session-based authentication
- Environment variable configuration
- No document storage (privacy-preserving)
- All processing happens in real-time