Built on 30 years of research from MIT's Andrew Lo and industry leaders.
30Years of MIT Research
1,000+Biotech Programs Benchmarked
1stQuantitative R&D Optimization Engine
The Reality of Drug Development
It's Not a Straight Line
Drug development branches at every decision — but traditional tools can only follow one branch at a time.
The Traditional Approach
Linear models miss the complexity
Traditional tools force you to pick one path and model it. But real pipelines branch into thousands of possible futures.
"Just project when you'll hit each milestone"
No room for pivots
Single indication only
Binary success/fail
Ignores optionality
Decision Tree
Decision Point
Success
Partner
Fail/Stop
The Vantage Approach
Navigate the Full Decision Tree
Every development path, every partnership option, every trial outcome — in one living model.
Build Your Decision Tree
Every Path, One Model
Map every development path, indication, and strategic option in a single connected model.
Simulate Across All Paths
Probabilistic, Not Deterministic
Monte Carlo simulation shows the full distribution of outcomes across thousands of draws.
Optimize Across Programs
Maximize Risk-Adjusted Returns
Allocate your R&D budget to maximize risk-adjusted returns. The efficient frontier tells you exactly where to invest next.
What This Means for Your Analysis
Traditional Approach
"What's our NPV?"
$142M
(Average of success and failure outcomes)
Single deterministic number
Limited insight into risk factors
Rebuild for each "what if"
With Vantage
"What's our median outcome?"
$189M (median)
95% CI: $42–$540M across Monte Carlo simulations
Statistical distribution of portfolio value
Probability weighted scenarios
Toggle options instantly
The Problem
The Combinatorial Problem
Every decision multiplies the number of possible futures. A modest pipeline creates billions of scenarios.
Indications(3 indications)
3
Development paths(4 paths each)
4
Partnering options(partner or go alone)
2
Trial outcomes(success, partial, fail)
3
Market scenarios(bull, base, bear)
3
216
scenarios per program
Across 5 programs
470Billion
unique scenarios
Capital Allocation
Find the Optimal Portfolio
Set your budget, define your constraints, and Vantage maps every allocation option — from the efficient frontier to the single next investment that creates the most value.
Risk-Reward Optimization
Risk-reward optimization across your full program mix.
3D Efficient Frontier
3D efficient frontier incorporating skewness and tail risk.
Simultaneous Optimization
Simultaneous optimization across programs and development strategies.
Built for Rigorous Analysis
Everything You Need to Turn Complex Data into Clear Decisions
Whether you're a venture capitalist managing a portfolio or an executive making R&D decisions, Vantage provides rigorous quantitative analysis.
rNPV Engine
Risk-adjusted NPV tailored for each program with ML features to produce investor-recognized benchmarks.
Scenario Modeling
Scenario-based modeling across assets, partnerships, and platform expansion with probability weighting.
Sensitivity Analysis
One-click tornado charts showing which assumptions drive value. Identify key risks instantly. Export as PNG or Excel in seconds.
Multi-Asset Waterfall
See how each program contributes to enterprise value, including follow-on assets and platform optionality.
Investor Materials
Auto-generated board and investor materials that connect R&D progress to enterprise value.
Factor Correlations
Model correlated risk across programs. Define systematic factors — a shared platform technology, a regulatory precedent — and see how one trial outcome ripples through your entire portfolio.
AI Assistant
Describe your program and our AI assistant builds the model — drawing from 1,000+ benchmarks for trial probabilities, durations, and peak sales assumptions.
Benchmark Database
Benchmark against 1,000+ biotech programs to ground development assumptions in market-accepted data.
Portfolio Optimizer
Maximize risk-adjusted returns across your program mix. Plot the efficient frontier and find the optimal capital allocation in seconds.
The Solution
VANTAGEOne Platform. Every Portfolio Company.
Turn platform complexity and scientific programs into a defensible, continuously updated enterprise valuation.
1
Value Your Full Innovation Potential
Capture the value of your pipeline and your platform: lead programs, indication expansion, technology readthrough, and partnership potential.
2
Build & Simulate Scenarios
Embrace uncertainty with scenario-based modeling across programs, probabilities, and development paths.
3
Generate Materials Instantly
Generate Excel models, sensitivity tornado charts, and investor presentations — auto-built from your live model, auditable at every step.
4
Update Easily as Pipeline Evolves
When programs advance or new assets emerge, update the model in minutes.
Product Demo
See Vantage in Action
In one minute, you'll see a multi-program portfolio built from scratch.
Case Study
How a Life Sciences Fund Standardized Valuation Across 18 Portfolio Companies
The Challenge
With an LP meeting six weeks away, each portfolio company used different valuation methods, assumptions, and reporting formats. Partners were spending weeks manually normalizing financials across 18 companies.
The Approach
Deployed Vantage's standardized rNPV framework across the portfolio in 30 days with a unified portfolio dashboard. Preserved company-specific assumptions within a consistent methodology. Enabled real-time visibility across assets and stages.
The Outcome
LP review preparation was reduced from weeks to days. Reports were standardized, assumptions aligned, and follow-on financing conversations accelerated with clean, normalized data.
18
Portfolio Co Standardized in 30 Days
30 Days
Full Portfolio Rollout
Weeks → Days
LP Prep Time
18
Companies Standardized
1
Unified Dashboard
The Team
Financial Innovation from MIT and Industry Leaders
Cambridge, MA-based. Built with MIT professors, including Nobel Laureate Robert C. Merton, and industry leaders. Based on over 30 years of research from MIT's Andrew Lo.
Leadership
Andrew W. Lo, PhD
Co-Founder
Director of MIT's Laboratory for Financial Engineering
Shomesh Chaudhuri, PhD
Co-Founder
Co-author of the textbook "Healthcare Finance"
Raven Reddy, PhD
Co-Founder
Former President of the MIT Biotech Group
Strategic Advisors
Robert Merton, PhD
1997 Nobel Laureate, Economic Sciences
Distinguished Professor of Finance, MIT
John Frishkopf, MMS
Co-Founder of NewStar Financial
Director, Global Coalition for Adaptive Research
Peter Hancock
Former President and CEO, AIG
Former CRO and CFO, JP Morgan
Michael Hay
Former GM, Strategic Intelligence, Citeline
Pricing
Attainable Pricing that Works for Your Needs
Standardize valuation across portfolio companies and align with LPs.
VC Partnership Model
QLS Vantage Access
Strategic Benefits
Alignment on value through shared assumptions
Quantify future inflection points
Systematic process and consistent framework
Look through to the wider portfolio
QLS Academy — a structured healthcare finance curriculum to onboard your team
Additional Solutions
White Glove Implementation
Let QLS transfer your current models into Vantage.
Diligence Support
QLS will work on the deal team to assess investment opportunities.
Fractional CFO Support
Let QLS use and manage the software on your behalf.
Valuation Reports
Fairness opinions, 409A reports, virtual data room materials.
Enhanced Compute Power
Run Monte Carlo simulations faster.
Get in Touch and See a Live Demo
See how Vantage models your specific development and portfolio questions — with a live walkthrough from our founding team.