Forecast cash flows, investor-native.
Capital calls, distributions, and net cash projected directly from the data in Portfolio Monitoring. Bridge facilities modeled explicitly, three scenarios side by side, calibrated against actuals.
FundFrame
OneForecasting
Plan ahead
A forecast that lives in the portfolio.
Most LP forecasts live in a spreadsheet that nobody trusts by quarter-end. FundFrame Forecasting reads directly from the cash flows, NAVs, and vintages already captured in Portfolio Monitoring, so the projection updates the moment a capital notice or quarterly statement arrives. No standalone model to maintain. No reconciliation between two worlds.
The engine combines standard fund-type profiles, calibrated commitment-pacing models, and an explicit treatment of bridge facilities, the short-term GP credit lines that shift capital calls forward and that most peer platforms leave out. Every projection runs across base, stress, and upside scenarios, so the CIO and CFO are looking at the same shape instead of a single number.
Built bottom-up from your portfolio, not top-down from a generic index. The forecast inherits the regulatory fit of the rest of the platform: DORA, AIFMD, ISO 27001, EU-hosted from day one.
Capital calls & distributions
Reported quarterly
By fund and strategy
Standard profiles
Fund-type curves
Bridge facilities
Modeled explicitly
Scenario engine
Base · stress · upside
Six layers, one forecast.
The model is built bottom-up. Each layer takes the previous one as input, and the result is a forecast that reflects your actual portfolio, not a generic curve.
Portfolio inputs
Live cash flows, NAVs, vintages, and strategies from Portfolio Monitoring feed the model directly. No re-keying, no separate ledger to keep in sync.
Standard profiles
The first version of every forecast runs on fund-type curves built from a decade of LP allocations. Vintage, strategy, and stage shape the projection out of the box.
Bridge facilities
Short-term GP credit lines shift capital calls forward by months or quarters. We model them explicitly, where the rest of the market leaves a gap.
Scenario engine
Base, stress, and upside paths run side by side. The IC sees a shape, not a single number, and pacing decisions are made against the full range.
Commitment pacing
Calibrated pacing models layer on top of the cash flow projection. Plan new commitments against expected distributions without overcommitting or letting capacity sit unused.
Validation & reports
Backtested against the actual cash flows of existing funds. The same model feeds IC, compliance, and risk reports, no reassembly per quarter.
Bottom-up, not top-down.
Forecasting tools exist. Chronograph, Cobalt, eFront, Dynamo. They are American, generalist, and live as a separate analysis layer over the monitoring book. FundFrame is built the other way around: investor-native from day one, European by default, and integrated directly into the monitoring workflow.
The result is a forecast that reflects your real portfolio, updates when the data updates, and answers the question the IC actually asks, what does the next eight quarters look like.
Investor-native by design
Built for the LP from the start. Not a GP analytics platform retrofitted for allocators, not a generalist tool with forecasting bolted on.
Integrated, not bolt-on
The forecast lives inside Portfolio Monitoring. Every new capital notice updates the projection on arrival, with no separate analysis layer to refresh.
Bridge facilities, modeled
The short-term GP credit lines that quietly shift capital calls are carried into the projection, where peers leave a blind spot.
European regulatory fit
DORA, AIFMD, ISO 27001. The forecast lives where the rest of the supervised data lives, with the documentation supervisors expect.
Common questions
Still curious? Get in touch.
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