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About CMD+RVL

From data to defensible outcomes.

CMD+RVL exists to operate outcomes under uncertainty.

Most organizations don't fail because they lack data. They fail because they can't explain what they believed, when they believed it, and why they acted—especially after conditions change.

The gap isn't information.
It's assurance.

Outcomes before platforms.

CMD+RVL didn't start as a product roadmap or a software stack. It started with a discipline: take a real decision, define what must be true, and maintain that truth over time with evidence.

Before there were tools, there were outcomes:

  • regulatory states that stayed current
  • signals that didn't drift
  • indicators that could be reconstructed later

Those early outcomes came from structured finance, where fragmented filings became authoritative state tracked continuously—trusted by hedge funds, analysts, and risk teams because they held up under review.

The approach worked not because the data was special, but because the responsibility was explicit.

What we do now.

Today, CMD+RVL helps teams produce working AI outcomes on live business problems.

A CMD+RVL outcome is a concrete result delivered with the source trail behind it, so the business can use it now and the team can inspect it later. When a result matters enough to keep running, CMD+RVL can become the operator of record—responsible for coverage, timing, drift, and corrections.

In practice, that can mean a forward deployed engineer working with your team — not a consultant who writes a deck and leaves, but an operator who helps scope the first result, stands it up on live work, keeps it reliable, and transfers capability over time.

Cairn is the front door for a growing share of that work. It starts on email: a live question, a real thread, a few rounds of clarification, and then a human-reviewed result shaped by metadata, provenance, and session context. Cairn is not a standalone product and not an autonomy claim. It is the operating surface where scoped work begins.

We support these outcomes in three ways:

Signals

Exploratory views used to test hypotheses, understand timing, and decide what should become an outcome. Signals are fast and explainable—but intentionally non-guaranteed.

Evidence

Canonical artifacts that show how outcomes are produced and defended. Provenance records preserve what was known, when it was known, and how it can be reproduced—months later if needed.

Partnerships

OEM and embedded models that allow platforms and analytics providers to resell CMD+RVL-operated outcomes under their own brand, without taking on infrastructure or SLA risk.

These are not parallel products.
They are layers in a single assurance system.

What we are not.

CMD+RVL is not:

  • a dashboard company
  • a data vendor
  • a consulting firm
  • an "AI insights" platform

We don't sell access.
We don't sell opinions.
We don't promise correctness.

We operate provenance-backed outcomes and stand behind their delivery with traceable evidence.

Why this matters now.

As systems become faster and more automated, ambiguity becomes expensive. Alerts without memory, dashboards without provenance, and models without defensibility don't scale—especially when agents are involved.

CMD+RVL is built for environments where decisions must hold up:

  • under audit
  • under automation
  • under change

That requires maintaining state, not just emitting events—and proving it later.

The work.

We help teams reallocate from uncertainty to assurance.

Not by adding more data.
Not by adding more tooling.
But by taking responsibility for outcomes that stay current, explainable, and defensible over time.

That's the work. That's CMD+RVL.

Our Team

Drew Bittenbender

Drew Bittenbender

Co-Founder
Technology executive with 25 years building data platforms and leading high-performance teams. Former CTO at Infinite Blue and VP Engineering at ColdLight (acquired by PTC for $105M). Holds a patent from Traffic.com (acquired by NAVTEQ for $179M).
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Zac Ruiz

Zac Ruiz

Co-Founder
Technology leader with 25+ years' experience, including a decade in securitization and capital markets. Former VP, Global Technology at DBRS, where he built transaction management systems and worked with quants across asset classes on data strategy.
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