Know your borrower better than they know themselves.
The one view of a borrower that exists independent of anyone’s interest in the deal closing.
The job, as you would describe it.
A term sheet went out Friday. This morning the borrower’s PFS lands on your desk claiming nine properties and a clean record, and committee meets Thursday. Someone has to find out what the county knows that the PFS left out. Until now that someone was an analyst with twelve browser tabs and three days.
The same job, with the record on your side.
Four steps: find, vet, watch, prove — weighted the way this role actually runs.
- 01
Vet: the credit file builds itself
The workup you assemble in Excel today, already assembled. Every entity the sponsor has used, one track record: what the PFS listed, what it left out, and the lien from last November — on screen before the first call.
- 02
Prove: Thursday, armed
The dossier prints with the filing behind every line. When a committee member challenges the 2019 sale price, the answer is a document id. Not a promise to follow up.
- 03
Watch: after the close
The borrower joins your book’s watch. The next lis pendens, lien or new mortgage on any entity they control reaches you the day it records, including entities formed after you closed.
- 04
Find: the book grows
Screen your footprint for maturing recorded debt and distressed collateral. The next origination conversation starts with you already holding the capital stack.
What you open Mimir to do.
These are your workspace’s jobs, in the terminal’s own words. Pick this role at sign-in and this is the screen you land on.
- 01Verify a sponsorTheir claimed record against the county’s
- 02Check exposureConcentration by borrower and market
- 03Review maturitiesWhat is coming due in your recorded mortgages
- 04Pull a dossierOne document-backed file for the credit committee
- 05Watch your bookNew activity on borrowers and collateral you track
- 06Find distressed collateralOpen liens, foreclosures and tax sales, each with the filing attached
The features you will live in.
The four screens above, in the order a credit file builds. Each one opens the screen it names.
- Searchone search box
- Ask Mimiranswered from the record, or not at all
- Deal Truth Checkcheck a deal’s story against the record
- Mapsee a market on the ground
- Compswhat traded nearby
- Assemblageadjacent lots and who holds them
- Concentrationwho holds what, where
- Maturityloans coming due
- Lenderswho is actually lending
- Sponsor profilewhat they own and what they owe
- Relationshipshow parties connect
- Dossiersthe committee-ready file
- Watchlisttrack what matters
- Pipelinedeals in flight
- Listsbuild and keep a shortlist
- Exportstake it with you
- Investigatefollow the chain by hand
- Enrichmatch your own list
- Compareput buildings side by side
- Worksheetwork the numbers
- Feedwhat just recorded
- Coveragewhat we hold, where
What the digging costs you now.
Three sliders, your numbers. We only supply the twenty minutes.
Your inputs, your math · the 20 minutes is our estimate — time it on the demo
Straight answers.
Can this go in a credit file?
That is what it is built for. Every line carries a source and record id a reviewer can pull independently. Recorded amounts are stated as recorded, original principal with its date — never dressed up as a current balance.
Does Mimir make credit recommendations?
No, deliberately. Mimir prepares the decision: the borrower identified across every entity, the recorded debt, and the documented credit file. The credit judgment is yours and stays in your system. We are not a party to the decision and do not want to be.
We already buy data. Why is this different?
What you buy today is a row per building and a score per guess. This is one record per borrower across every entity they use, with the document behind every field. It answers to the county, not to the deal.
See your market.
Twenty minutes on the live terminal.