Business Modeling for Uncertainty and Volatility
Join us for a live session exploring a new way of modeling venture and investment decisions in conditions of real-world uncertainty.
At Evolutesix, we have been developing a financial modeling approach that integrates volatility directly into business and investment scenarios. Rather than relying on static projections, this method allows us to explore how changing conditions, timing, and strategic choices affect survival, resilience, and long-term outcomes.
During this one-hour session, Graham Boyd, co-founder of Evolutesix, will walk through a live demonstration of how we use this modeling approach when working with founders, investors, and venture teams.
During this live session, you will:
· Experience a guided walkthrough of the modeling approach we use in our work
· See live simulations run on startup and investment scenarios
· Explore how sequencing risk and volatility drag shape outcomes
· Understand how path dependency affects capital survival and growth
· See how this type of modeling can inform real venture and investment decisions
Why this matters for founders
Explore how runway, burn rate, hiring decisions, dilution, and revenue variability behave under realistic volatility conditions. See how different strategic choices influence survival probability and long-term equity value.
Why this matters for investors & fund managers
Traditional portfolio planning tools often assume smooth projections and stable conditions. This modeling approach instead explores how volatility, sequencing risk, and fluctuating conditions shape the distribution of outcomes across ventures and portfolios.
Simulate portfolio construction, capital deployment timing, liquidity events, and downside risk across volatile cycles. Understand how survival probability and capital durability change under different scenarios.
By modeling volatility directly, we gain a clearer view of structural fragility, timing risk, and path dependency within ventures and portfolios — enabling capital strategies grounded in real-world dynamics rather than static projections.