A neutral intelligence layer.
Independent of any fund or instrument, it projects each student’s earnings and risk over time, finds where support changes the path, and shows a fund what goes out and what comes back.
What the intelligence layer does with a cohort.
It starts from what is known about each student.
Program, costs, the gap in funding and earnings data for the field, across a cohort.
It projects earnings and financial risk over time.
Year by year, for every student, as a projection.
It finds when support changes the path.
And the form that changes it: a grant, a smaller grant or support of another kind.
It shows the fund what goes out and what comes back.
A cohort-level view of capital and projected repayments.
The allocation engine ranks where capital changes the most outcomes.
It works under the fund’s own rules, so an operator decides with the projections in front of them.