Customer story · Pier Asset Management“We hired our best analyst. It wasn't human.”
Pier Asset Management is a private credit firm investing across warehouse facilities, secondary portfolios, and non-performing loans. Levocred is the AI workforce the firm runs its book on.
The fastest way to understand Levocred is what Pier asks it
app.levocred.comCan you tell me our LTV across all our credit facilities?
Valuation committee is tomorrow. Prepare a status summary of every facility's borrowing base and compliance.
Why is the borrower's collections rate different from yours?
Show me how the $X.XX M of 0–30 DPD collateral is calculated. Prove it.
What's our exposure in North Carolina, business or guarantor? Show the debtors by legal status.
app.levocred.comTear down this seller's pricing workbook and improve our bid using every portfolio we've ever bought.
Six real questions from the Pier team's last five months. We simplified the wording and masked the figures. If you run a book, you've asked most of these.
Borrowers email their report. That's the whole integration.
Borrower reporting is messy. Every borrower has their own template, their own spreadsheet habits, their own idea of what a tape should look like. Pier stopped fighting that. Borrowers forward the package to an email address, and Levocred matches it to the facility, reads the attachments, re-derives every eligibility rule and covenant from the raw tape, and replies with the verified base. When something looks off, it asks.
That inbox has eaten 0 spreadsheets and 0 PDFs in 0 different formats so far. The thread above is illustrative; the timings are from production runs.
A new facility goes live in hours
Time to onboard a new credit facility. Levocred learned Pier's book once; now every new facility is live the same morning.
The knowledge compounds. Nothing walks out the door.
Portfolio knowledge tends to live in spreadsheets and in analysts' heads. People leave. On Levocred, what the firm has learned stays put, and it gets used.
Every report, tape, and agreement, in any format.
Every exception, waiver, and anomaly, permanently.
Every new tape is screened against the firm's whole history.
Caught before the wire, not after the close
On a recent portfolio purchase, Levocred screened the seller's tape against every account Pier has ever touched. What it found repriced the deal.
That kind of overlap used to surface after closing. The screen now runs on every deal.
Ask for a feature on Monday. Use it on Wednesday.
When Pier needs something the platform doesn't do yet, Levo, Levocred's forward-deployed AI engineer, builds it. The average request reaches production in 1.78 days, and one in four ships the same day.
Feature requests from Pier, time from ask to production. Each dot is one request.
Trust, but verify. By design.
Source data is analyzed, never altered.
Answers cite the file and line they came from, so the team verifies instead of trusting.
Outputs are reviewed before they reach reporting, and Pier signs off on every draw.
Pier's data informs Pier's decisions and no one else's.
Levocred has become the operating layer of the firm. Reporting runs on schedule, alerts land in Slack, and when I have a question about the book, I just ask it. We spend our time on decisions now, not assembly.
Start the way Pier started
Pier started with one facility, as a pilot. Today the whole firm runs its book on Levocred, and Pier is an investor as well as a customer. Your first facility can be live this week.