Forecast outcomes with machine learning
Project IRR, TVPI, and J-curves, model cash flows, catch portfolio risks early, and run what-if scenarios — turning historical fund data into a forward-looking view you can act on.
See around the corner
Predictive models built for the metrics fund managers and LPs care about most.
IRR, TVPI & J-curve forecasting
Machine-learning models project fund-level IRR, TVPI, and the shape of your J-curve, giving partners and LPs a forward view grounded in your real performance data.
Cash-flow projections
Forecast capital calls and distributions over the life of the fund so you can plan liquidity, manage reserves, and set accurate LP expectations.
Portfolio early-warning
Models monitor portfolio companies for deteriorating signals — slowing growth, rising burn, covenant pressure — and flag risks before they become losses.
Scenario & what-if analysis
Model best, base, and downside cases by adjusting growth, exit timing, and multiples, then see the impact on returns instantly across the whole portfolio.
Performance trajectory
Track each investment against its projected path and spot divergence early, so the team can intervene while there is still time to change the outcome.
Data-driven confidence
Forecasts come with the assumptions and drivers laid out, so the firm can stress-test predictions and make decisions on evidence rather than instinct.