AI-driven platform combining quantum algorithms with alternative datasets to predict biopharma/FinTech valuations. Targets hedge funds with real-time regulatory simulations and cross-asset mapping.
QuantEdge revolutionizes portfolio management through quantum-inspired predictive models analyzing clinical trials, patent filings, and supply chain data. Designed for mid-sized hedge funds, it offers MiFID II-compliant valuation forecasts with 92% backtested accuracy across 300+ biopharma assets.
Core Functionality
Combines TensorFlow Quantum with real-world evidence datasets to:
- Predict drug approval probabilities using FDA comment pattern analysis
- Simulate regulatory impact scenarios across 40+ jurisdictions
- Map supply chain risks through logistics API integrations
Target User Segment
Primary clients:
- Healthcare-focused hedge funds managing €500M+ AUM
- Biopharma M&A teams monitoring competitor valuations
Secondary markets:
- Reinsurance firms assessing clinical trial risks
- VCs evaluating diagnostic startups
Recommended Tech Stack
- ML Core: Python 3.10/TensorFlow Quantum
- Data Pipeline: Apache Kafka + Snowflake EDGE
- Visualization: React/D3.js dashboard with Bloomberg terminal shortcuts
MVP Development Costs
| Component | Hours | Cost |
|---|---|---|
| Quantum ML Core | 450 | €45,000 |
| Regulatory Engine | 220 | €22,000 |
| Total | 1200 | €120k±15% |
SWOT Analysis
- Strengths: Patent-pending valuation models, SandboxAQ alumni team
- Weaknesses: High Bloomberg Terminal integration costs
- Opportunities: FDA’s RWE mandate creating new data streams
- Threats: Reuters adding similar features to Eikon
Customer Acquisition
Strategy for first 1,000 seats:
- €50k LinkedIn ads targeting PMs (€150 CPM)
- Co-marketing with 5 alternative data vendors
- Free valuation audits for top 100 funds
Projection: 5% conversion from 20k leads
Monetization Model
Tiered SaaS pricing:
- Base: €5k/month + 0.02bps on AUM >€1B
- Break-even: 24 funds @ €200k ARPA
- Team: 3 QML researchers (€180k/yr) + 4 engineers
Market Positioning
€7.3B TAM in quant tech stacks. Differentiates through:
- Explainable AI meeting MiFID II requirements
- Vertical-specific correlation matrices
Initial focus on London/Singapore crypto-friendly funds.
