How It WorksProof
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How we deliver — and show our work.

From connecting your data sources to continuous monitoring, here's the operating model.

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Every outcome comes with provenance records, methodology, and a path to recreate it using your own stack.No black boxes. No hidden logic. Just clear results you can defend.
Provenance Receipt
AI Output
$2.47B adjusted NAV
2025-06-14 09:41 UTC
Transform
Weighted average
847 positions
Transform
Normalized to USD
ECB daily fix rate
Source
SEC EDGAR 10-K
CIK 0001234567
Source
FRED SOFR rates
SOFR.2025-06-13
Provenance verified5 nodes · 2 sources · full chain
The Model

Connect your data. Trace every output. Prove where it came from.

Most vendors stop at delivering an answer. We deliver the answer, trace it back to its source, and give you a provenance record that holds up under scrutiny.
01Connect

We map your data sources

You define what you need to know. We connect to the relevant sources — SEC filings, market feeds, internal systems — and map the lineage from origin to output.
02Trace

We trace every transformation

Every step from source to output is documented — timestamps, transformations, assumptions, and methodology — so the full path is visible and reproducible.
03Prove

We attach the proof

Provenance records attach to every result: sources, logic, confidence flags, and delivery logs. Any output can be explained and defended on the spot.
04Monitor

We watch for drift

Continuous monitoring detects when sources change, confidence drops, or results diverge — surfacing problems before they reach downstream systems.
Running side by side is optional, but it's how teams validate their own work without relying on our system.

What you receive at each phase

Each phase builds on the last. You can start with Connect and Trace, or go all the way to Monitor — depending on how much ongoing assurance you need.

What changes with this approach

Without CMD+RVL
  • Manually pulling data from multiple sources
  • Rebuilding logic every time a question comes up
  • Explaining the process from memory or slides
  • Discovering drift only after decisions are made
With CMD+RVL
  • Clear results delivered on a predictable schedule
  • Provenance records attached to every output
  • Reusable specifications instead of one-off logic
  • Drift detected early, not after the fact
Deliverables

Built for when the number gets questioned.

Good answers don't fail — unexplained answers do. We make it straightforward to show what happened, what changed, and why the result still holds.

Clear results

You receive outputs you can use immediately in research, reporting, or decision-making.

Clear provenance

You get the lineage, sources, and assumptions behind every result — without needing our internal tooling.
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Confidence comes from being able to explain the work — not just trusting the output.

Why teams trust this approach

CMD+RVL is designed for environments where numbers get questioned and decisions carry weight — across research, underwriting, portfolios, risk, and audit.

01

Less debate

Teams spend less time arguing about inputs and more time interpreting what the results mean.
02

Less rework

Specifications and assumptions are reused instead of rebuilt every time someone asks a follow-up.
03

Earlier signals

Changes and differences surface early, before they become expensive or reputational issues.
Built for:
Hedge Funds & Asset Managers
Credit & Structured Finance
Capital Markets
Risk & Compliance
Data & Analytics Teams
Start with one outcome. Review the provenance behind it. Decide how far you want to take it.
View a real outcome →Book a free workshop →

PRODUCTS

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EVIDENCE

All Evidence

PRODUCTS

OutcomesData ProductsSignals

EVIDENCE

All Evidence

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