Supervisors want greater transparency, and the ability to model private credit portfolios across several dimensions at once. The data infrastructure most managers run was never built to carry that.
Monarc builds that base. Portfolios can be stressed across every dimension supervisors ask about, and every figure traces back to its source — so every number holds when it is challenged.
| −50 | 0 | +100 | +200 | +300 | |
|---|---|---|---|---|---|
| 0% | +0.9 | 0.0 | −2.2 | −4.8 | −7.9 |
| −10% | −0.6 | −1.7 | −4.4 | −7.7 | −11.8 |
| −20% | −2.5 | −4.1 | −8.6 | −13.4 | −19.1 |
| −30% | −4.9 | −7.1 | −14.0 | −21.4 | −29.7 |
Investors want to establish the units of value behind an allocation strategy, and where the hidden risk actually sits. Fragmentation and inconsistency across systems keep exposure out of view: undetected, rather than accepted and priced.
Monarc captures units of risk all the way down to asset and security level, and returns one clear, comprehensive and coherent picture of credit exposure. Investors can optimise how risk is allocated; managers can differentiate a strategy, and defend it to the people funding it.
Semi-liquid, evergreen funds are marketed to far broader audiences than traditional closed-end structures ever reached, and they demand an entirely different set of data operations and infrastructure.
Two things change at once. The NAV becomes a transaction price rather than a report, and capital arrives and leaves continuously rather than on a drawdown schedule. Both put weight on the same place: a record that is sourced, defensible and current.
Monarc reduces NAV lag from a quarter to a day, whatever the structure.
Most firms have pilots. Few have anything a valuation committee would take a number from — let alone an auditor.
The gap is not model quality. Credit is the hard case and closing that gap is two years of work — the ingestion, the restatement, the lineage, the harness. It needs people who know credit as well as they know production systems. That is where we start. And what comes out is yours: you are not licensing someone else’s judgement, you are encoding your own, at scale.
“These four agreements govern the borrower.”
“We took this add-back at 2.1m last quarter. Here is the reasoning.”
“Trace to the clause, and tie the number back to last quarter.”
“If the drafting is ambiguous, flag it — that is a question, not an answer.”
A governed record of what your borrowers reported and what it means under your methodology — the version of the numbers every team and every system in your firm agrees on.
No more asking which version is right.
Management accounts and covenant certificates, data rooms, loan tapes, credit memos and financial models — all aggregated into one coherent record.
Two things stay true at once: what the documents say, and how your firm calculates it.
Monarc keeps your Excel models in sync. It gives your agents and valuation engine trusted numbers. Investor and regulatory reporting is clearer and defensible. All immediately usable, throughout the organisation, with no lock-in.
Portfolio data, restated to your firm’s definitions. One governed flow from what your borrowers send to the numbers your firm acts on. Excel-native, with every number one click from its source.
Management accounts, covenant certificates, spreadsheets, PDFs. Whatever arrives, in whatever shape it arrives in. Nothing has to be put into a template first.
Every figure is mapped twice: to the definition in the credit agreement, then to the way your firm calculates it. Your analysts’ knowledge, embedded in the firm’s infrastructure.
Into your models, your reporting and your existing systems. Click any number and the document it came from is one click away.
Borrowers do not file standardised accounts, and every credit agreement defines its terms differently. Everyone restates to the agreement. Monarc goes one step further: every figure is also mapped to the way your firm calculates it — your add-backs, your treatment of a cure, your house view on what counts.
We put analysts, not systems, at the centre. Excel was never the problem: the models your team already runs are the right place for the work. So we invert the traditional flow — instead of extracting into a portal and exporting to a spreadsheet afterwards, your financial analysts edit in Excel as they always have. The change lands in the Monarc Hub, so numbers are always consistent and up to date.
Repetitive execution that moves off your desk and onto the harness, not to another team. Every step runs against your definitions, inside your systems, with a full audit trail — so you keep visibility and control, and your analysts keep the judgement rather than mundane work.
Monarc runs on your methodology and your decisions, so it improves every quarter — which covenant could breach, how your credit committee treats an add-back, which borrowers file late. Your team gets better work out of it, and the firm keeps what it has learned.
Your systems stay where they are. The record reaches your warehouse by API, your models in Excel, your valuation engine, your reporting — with no lock-in, and immediately usable.
Your methodology stops being something a few people carry and becomes something the firm holds — written down, applied consistently, and available to everyone who needs it.
Monarc enables you to build your own agents, that apply the same definitions your analysts do. Build as many as you need and put them to work alongside the team — your capacity is no longer constrained by how many people are in your team.
Systems that run on a schedule, under load, with an audit trail, built by people who also know what a springing test is, why a stub period matters, and where an add-back stops being permitted.
Credit-Vision
Covenant and performance monitoring for institutional credit funds: hundreds of issuers, tens of billions of exposure. Metrics restated twice — to the definition in the credit agreement, then to the one each manager actually runs.
Alter Domus Data Solutions
Borrower, portfolio and fund data pipelines built and operated at administrator scale. Serving GPs and LPs from the same record means reconciling what each side believes it holds — where they disagree is where the operational risk sits.
Morgan Stanley
Firm-wide valuation, risk and stress-testing models owned end to end, and the RWA calculations for fixed income structured products behind regulatory reporting and capital management.
Vestige
Retrieval systems for document review and on-premise agents for workflow automation, turning recurring processes into versioned, auditable pipelines.
Most of our work begins with something specific: a valuation methodology being questioned, a pressure point on investor reporting, a system of record with data that don’t reconcile, or a team being overwhelmed with portfolio monitoring crunch points.
Get in touch, tell us what the problem is and we’ll present the solution we can offer to you.
