Engagements
Outcome-focused projects that connect your data, models, and teams to CMD+RVL’s context graph—so you get explainable results fast, without committing to a full platform rollout on day one.
Prototype → Pilot → Scale
Engagements are how organizations start working with CMD+RVL. We take a concrete use case—exposure, risk, funding, or surveillance—and wire it into our context graph, Signals, and data products. You get a working outcome, not a slide deck, with lineage and governance built in.
Prove the idea with real data.
We choose a narrow but meaningful slice of your problem—one book, strategy, sector, or asset class. Using CMD+RVL Signals, marketplace datasets, and your inputs, we stand up a working view that explains what’s moving and why.
Start a prototypeOperationalize the workflow.
We harden the prototype into a repeatable workflow: data flows, lineage, dashboards, and model hooks. Teams get short-horizon outcomes they can rely on in daily or weekly processes, with CMD+RVL as the explainability layer.
Plan a pilotGrow into platform and context engine.
Once the pilot is delivering value, we extend coverage, add models in context, and, when appropriate, deploy the Enterprise Context Engine in your environment. The engagement becomes the on-ramp to a durable assurance backbone.
Discuss scaling optionsHow engagements run
Each engagement is designed to be small enough to start quickly and structured enough to scale. We combine CMD+RVL’s analyst discipline with our context graph, Signals, and data products to deliver explainable outcomes in weeks, not years.
Outcome-first scoping.
We begin with a specific question: a risk signal you can’t see, a model that needs context, a dataset that needs structure, or a regulatory concern that needs explainability. The scope is defined around measurable outcomes, not vague transformation goals.Context wired in.
We connect your relevant data, models, or licenses (e.g., Intex, Trepp) into CMD+RVL’s context graph. From day one, every chart, dataset, and model output carries lineage, coverage, freshness, and latency metadata.Why teams start with engagements
Engagements turn CMD+RVL from an interesting platform into a working part of your process. They de-risk investment decisions, shorten time-to-value, and create reusable assets that can grow into Signals, data products, Model-in-Context, or the Enterprise Context Engine.