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EXETER AUTO RECEIVABLES TRUST 2026-2AUTO ABS · AS OF 2026-05-31 · $MSOLID = NAMED · HATCHED = RETAINED · PALE = UNKNOWNCLASS A-1 · P-1 / A-1+$16.293MCLASS A-2 · Aaa / AAA$149.650MCLASS A-3 · Aaa / AAA$156.220MCLASS B · Aaa / AA$82.210MCLASS C · Aa3 / A$85.230MCLASS D · Baa3 / BBB$110.620MCLASS E · NR$75.390MCLASS N · NR$14.850MPIMCO ABS 33% OF CLASSMFS INTERMEDIATE 0.5% OF CLASSNUVEEN ENHANCED 0.0% OF CLASSVANGUARD ULTRA-SHORT-TERM 4.2% OF CLASSSTRATEGIC ADVISERS 0.7% OF CLASSFS MULTI-STRATEGY 4.5% OF CLASSOAKMARK EQUITY + AMERICAN FUNDS95% OF CLASSCLASS D HOLDERS · $110.6MPAYDEN 0.4% · AAM/WILSHIRE 0.2% · SPONSOR 5.0%424B5 + 10-D + N-PORT + REG RR · FIGI BBG0210FK1N199.4% NOT PUBLICLY NAMEDTOTAL STRUCTURE$690.463M · COMPLETE · PER 10-D

Data is everywhere. The hard part is trusting it.CMD+RVL is an applied AI firm for finance and procurement teams. We answer the question that matters now.

The structures are there to be revealed.

One question: who actually owns this bond? The answer starts with the deal’s structure, a capital stack assembled from public data that shows who gets paid first and who takes the first loss. Every number traces back to its source. Where the public record stops, the answer says so.

We do not call an answer an outcome until it runs without you.

The data, the context, and the method stay with your team, so it keeps running after we leave the room. The impact should show up in the business, not in a status report.

The first question we always get

“Can I just ask Claude?”

You can. We do too. A model answers with the same confidence whether it traced a number or invented it. Once that number enters a decision, the difference matters.

Ask who owns this bond and it will answer. In our test it produced a mix of refusals, guesses, and filing-backed facts, with nothing to tell you which was which. We build sourced data, tests and workflows that let your team verify the answer before acting, under your controls.

The outcome is what you buy: an answer that holds up, runs without you, and stays current as sources and questions change. Connect those outcomes and you have a practice, each one starting from what the last one left. That is the retainer.

Drew Bittenbender and Zac Ruiz, two former CTOs, work directly with your team. No junior handoff. We work where being wrong gets expensive: structured finance, procurement, supply chain, and any other domain where that is true.

See the work

Work you can inspect.

Here are two examples. Both use public data and show the sources behind the answer.

  • Source check

    Ask a question, then check the answer.

    Loom answers questions using public data. Each answer shows the source, what changed, and the date the data was true. Ask for evidence and you can open the full source trail.

    Source
    Public data, traced to source on request
    As of
    2026-07-29
    Read the case study
  • Procurement signal

    When does a resin price increase actually stick?

    An agent built this signal from public data in days. It combines energy prices, producer prices, and industry use to show when an increase may hold. A team's contract data makes it more precise.

    Source
    Henry Hub, BLS PPI, and WTI, all public
    As of
    2026-07-06
    See the signal

Start with one result.

We agree on the result, show you real progress within 48 hours, and continue only if the work is useful.

  1. Agree on the result.

    Choose the business result, deadline, and sources involved.

  2. See progress in 48 hours.

    By the end of day two, you will have real work to review. This is progress, not the finished outcome.

  3. Decide what comes next.

    Continue only if the work is useful and there is a clear next result.