Solutions

Solutions you can run the business on

Engineered against your data, your controls, and your systems, then handed over no parallel stack, no dependency on us to keep it running.

The solution

RevX

The revenue decision layer. Six decisions computed on your context graph, in your warehouse, delivered where your team already works.

Churn, expansion, pricing, ICP, coaching, RFP
Calibrated to the horizon your team can act on
First value in weeks, not quarters

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The platform

Zunō

The accelerator platform. A predictive stack for production ML, a generative stack for agents and copilots, and the evaluation, governance and integration both depend on.

Under RevX, and under the agents and apps we build
Deployed in your environment, not ours
The third leg of FDE+, with embedded leaders and engineers

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Decisions you can act on. A platform you can build on.

RevX

Zunō

The solution

Revenue is a lifecycle, and most of it still runs on guesses.

A fit flag standing in for customer value. Prices set by gut. Risk spotted at the renewal, months too late. RevX replaces the guesses with calibrated decisions, computed on a revenue context graph we build first CRM, product usage, support, finance, calls and intent unified in your warehouse. Data readiness isn't a prerequisite; it's the first deliverable.

Six decisions, trained on your data

LTV-Based ICP

Expected lifetime value from pre-win signals only.

Coach

Pricing, positioning and objections, in Slack or Teams.

RFP

Cited, human-reviewed answers from your knowledge base.

Retain

Horizon-anchored churn scoring with per-account drivers.

Expand

Counter-factual propensity, one model per motion.

Price

Per-account elasticity: what increase holds at renewal.

The platform

The platform our teams build on

The same pieces are needed on every build: models, a way to evaluate them, controls that satisfy an auditor, and a path into the systems the business runs on. We built those once rather than per engagement. Zunō holds two stacks (predictive and generative) and the evaluation, governance and integration that sit across both. All of it deploys inside your environment.

What's in the platform

Predictive Stack

PRODUCTION ML

Where forecasting, propensity, churn, fraud and supply models are built, run and monitored features, training, registry, lineage and MRM workflows on your lakehouse, behind your identity provider, with dashboards for the people acting on the numbers. It also computes every RevX decision.

Generative Stack

MODELS & BUILD PATTERNS

Model selection across frontier and open weights, fine-tuning to your domain, and reference architectures for RAG, agents and copilots including the review-and-override patterns that keep a person in the lead.

Evaluation

EVALS & RED-TEAM

Eval harnesses built on real tasks and run in CI, red-team batteries drawn from failures we've seen in the field, and calibration and drift reporting once a model is live.

Governance

AUDIT-READY CONTROLS

Policy, audit trail and model-risk workflows set up at the start rather than before go-live, with traceability from any answer back to the inputs behind it.

Integration

LAKEHOUSE · ERP · CRM

Connectors into the lakehouse, ERP, CRM and finance systems you already run, and delivery into the surfaces people use dashboards, CRM objects, copilots, or an MCP skill your agents can call. Deployed in your cloud; engagements end with handoff, not lock-in.

Proof, not promises.

From live customer engagements on the surfaces teams use daily.

AUDIT-READY CONTROLS

“It only told us about accounts that were already lost.”

A cs team on the churn model they abandoned at 87% accuracy

WHY THESE PROJECTS USUALLY FAIL

Wrong horizon : Accurate at 30 days, too late to act.
False signals : Confidence that's wrong destroys trust.
Fragmented data : A partial picture, scored anyway.
Black box : A number nobody can interrogate.

80%+

Real churn caught in the top risk bucket, up from 20–25%

120 Days

Actionable lead time at 79% precision, chosen over 87% at 30 days

−22%

Churn in the high-value segment, with 95% CS adoption

+1pp

NDR from per-account renewal elasticity

55 89%

Real churn caught in the top risk bucket, up from 20–25%

Frequently Asked Questions

Is RevX a product we license or a project you build?

A product, delivered like an engagement: the six decisions are pre-built, then computed on a context graph we construct in your warehouse, calibrated to your data and your horizon. Product speed, no parallel stack.

Do RevX and Zunō come together?

Zunō sits underneath everything we build, RevX included. Start with either a revenue decision or the platform and the other is already compatible, because they're built as one system.

What if our data isn't ready?

Data readiness isn't a prerequisite; it's the first deliverable. The revenue context graph CRM, product usage, support, finance, calls and intent unified in your warehouse is where every engagement begins

Where does all of this run?

In your environment: your warehouse, your cloud, behind your identity provider, with traceability from any answer back to the inputs behind it. Engagements end with handoff, not lock-in

What happens when models drift after you leave?

Drift is designed for, not discovered. Calibration and drift reporting are part of the platform, so your team sees model health the way they see any operational metric and if you'd rather we operate it, we stay

THE PROBLEM

Bring your hardest AI problem. We'll design the production path.

The first call is a working session, not a pitch. Two of our principals, your problem, ninety minutes. You walk out with a plan, a sequence, and a straight answer on whether it's worth doing.

Connect with us

Solutions you can run the business on

RevX

Zunō

Decisions you can act on. A platform you can build on.

Revenue is a lifecycle, and most of it still runs on guesses.

Six decisions, trained on your data

The platform our teams build on

What's in the platform

Proof, not promises.

“It only told us about accounts that were already lost.”

80%+

120 Days

−22%

+1pp

55

89%

Frequently Asked Questions

Is RevX a product we license or a project you build?

Do RevX and Zunō come together?

What if our data isn't ready?

Where does all of this run?

What happens when models drift after you leave?

Bring your hardest AI problem. We'll design the production path.

Let's put AI to work.

Decisions you can act on. A platform you can build on.

Bring your hardest AI problem. We'll design the production path.