Data Room
Ravariant

Applications

June 2026

Use Cases.

Who reads the number Ravariant publishes, and what each reader does with it. Doc 04 of the Ravariant data room.
Doc 04 · Version v3.0 · Published June 2026
Ravariant has one job here: it publishes. It makes no loans, owns no piece of a fund, and takes no side in a deal. It publishes two plain things: a shared checklist a loan can be built to, and a loss figure for each group of similar loans, counted by outside auditors once the losses are known. This page is about who reads those two things.
The point
Once a fund's loss is a verified number, software just reads it. No documents to parse, no phone calls. This document is the three things lenders and systems do with that number.

The frame

The first thing Ravariant publishes is a shared checklist. Picture a conforming mortgage: a home loan built to a common set of rules so it can be bundled with loans just like it and compared on equal terms. Ravariant publishes that kind of checklist for loans made against a stake in a private fund. The second thing is a loss figure for each group, counted after the fact by outside auditors. It is a record of what happened, not a guess.

The boxes below name each reader of those two things and the plain action it takes: the loan desk that builds to the checklist, the risk team that reads the loss figure into its own spreadsheets, and the automated system that pulls the figure as a plain field.

Who reads the number, and what they do with it
The loan desk
Builds a loan to the shared checklist
So a one of a kind private loan becomes one of a known group that others can compare and rate.
The risk team
Reads the loss figure into its cushion math
So the amount of cushion it holds rests on counted losses, not on a number the lender cannot point to.
An automated system
Pulls the figure in as a plain field
So a computer can read it on a set date and repeat the same calculation later, with no document to interpret.
Source: Ravariant Labs
Use Cases1 / 5

Underwriting to the standard

The loan itself in plain terms: an investor owns a stake in a private fund and, instead of selling it, borrows against it. A lender hands over cash and holds the stake as security until repaid. NAV is the fund's own statement of what its holdings are worth, so the loan is sized off that stated value. Until now each loan was one of a kind, written under one private letter, so none could be grouped or compared on equal footing.

The shared checklist fixes that, the same way a conforming mortgage does. Build the loan to a common set of rules and it can be grouped, because it matches every other loan built the same way; it can be rated, because a rating can describe the whole group; and it can be compared, because the group it joins has a published figure attached. So a loan built to the checklist is no longer a black box.

What building a loan to the shared checklist turns it into
What it gainsIn plain termsWho makes it happen
It qualifiesThe loan counts as part of a group only when it ticks every box on the published checklist, not when one person says soThe lender chooses to follow the checklist
It can be groupedIt matches every other loan built to the same checklist, so it sits in a group instead of standing aloneThe loan desk builds it to the checklist
It can be ratedA rating can describe the whole group, instead of someone having to read one private deal end to endA rating firm reads the shared checklist
It can be comparedIt joins a group that already has a published figure attached, so there is a common yardstick to judge it byDoc 00 covers the pooled uses
Source: Ravariant Labs

Because the loan follows a published checklist, the loan desk can show a regulator or an auditor exactly which rules it met. A private one of a kind deal gives them nothing shared to check against. The next page shows how the same checklist, plus a cushion figure, shapes how much a lender will lend per dollar of fund value.

Use Cases2 / 5

Advance rates and pricing

The advance rate is how much a lender will lend per dollar of fund value. Lend sixty cents against a dollar of stated value and the advance rate is sixty percent. The cushion is the slice of loss the deal can soak up before the lender's own money is touched. Ravariant publishes a figure for how big that cushion needs to be for each group, drawn from how those groups have behaved. The lender's own credit committee still sets the outer limits; the checklist and the cushion figure tell it where a given group lands inside those limits.

How the loan terms get set
The termThe old way: lean on the manager's own numberThe new way: lean on the checklist and the cushion figure
How much to lend per dollarSet against the manager’s own statement of valueSet against a known group of loans and a published cushion figure
How big a cushionSized by gut feel, with nothing concrete to point toSized to the cushion figure Ravariant publishes for the group
What extra to chargePadded for risk the lender cannot point to a source forBacked line by line by a published figure anyone can check
Paper trailA judgment call kept in a private fileA checklist and a figure, each with a clear meaning and a version
Source: Ravariant Labs

These loans commonly charge a base rate plus four to six extra percentage points. Part of that extra exists only because the lender cannot point to a shared source for the risk it carries. A lender that follows the checklist and reads the cushion figure can defend its price piece by piece. The inputs are the same for everyone who reads them, so two lenders can land on different amounts to lend, each defensible to its own committee, because the limits stay theirs.

Use Cases3 / 5

Risk and capital models

A risk and capital model is the set of spreadsheets a lender uses to decide how much spare cash to set aside against the loans it holds. The more it might lose, the more it holds back. A computer can pull both published things, the counted loss figure and the cushion figure, straight into those spreadsheets. Each arrives as a clean value with a clear meaning, a date, and a version stamp, so the lender can feed counted losses into its cushion math without a person reading a document first.

What the risk spreadsheets pull in
What it pulls inWhy a computer can read it straight
The counted loss figureHow much the loans in this group actually lost, tallied after the fact, fed straight into how much cash to set aside.
The cushion figureHow big a buffer the group needs, read in without the lender having to build its own model from scratch.
One clear meaningEach value stands for one stated thing, so the computer drops it into one slot with nothing to interpret.
A date and a versionA known date and a version stamp let the computer line up values by period and rerun an old calculation exactly.
Source: Ravariant Labs

Because every value carries a clear meaning, a date, and a version, the lender can rerun the spreadsheets against the exact figures read on a given day and get the same answer. The figures describe a whole group, while the lender's book is made of specific loans, so they guide the math without replacing the risk team's own loan by loan review.

Use Cases4 / 5

Settlement lives in the lead document

One more set of uses lives entirely in the lead document, Doc 00, The Settlement Standard for NAV Loan Risk. Those uses build on a pooled, balanced set of these loans, and Doc 00 is the only place they are spelled out. This document stays with the three direct readers: the loan desk, the lender setting terms, and the risk team.

The link is the shared checklist from page 2. A loan built to it can be grouped, and a group of such loans is what the lead document builds on. The checklist and the cushion figure here are the raw inputs; what gets built on a pooled set of them is the subject of Doc 00.

Where each use is covered
UseWhere to read it
The loan desk builds to the checklistThis document, page 2
The lender sets how much to lend and what to chargeThis document, page 3
The risk team feeds the figures into its cushion mathThis document, page 4
Uses built on a pooled set of loansDoc 00, The Settlement Standard for NAV Loan Risk
How the checklist and the figure are madeDoc 02, How the Numbers Are Made
Source: Ravariant Labs

For the checklist and the figure these readers rely on, see Doc 01, Numbers You Can Settle On. For the real fund example behind the groups, see Doc 03, mGLOBAL.

Use Cases5 / 5