Autonomous Revenue Engine 2.0

Predict revenue with confidence.Turn insight into action.

A Compound AI revenue engine that unifies your data landscape, isolates causal growth drivers, and deploys agentic actions every day.

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Self-hosted on AWS
Deterministic models
Daily action lists

Revenue cockpit

Executive Snapshot

Live

Forecast (30d)

$2.48M

+12.4%

Profit Cohorts

8

High confidence

Priority Actions

  • Increase budget on "Retargeting A" in North East (+18% ROAS).
  • Call leads under 4 hours to lift close rate by 9%.

Data sources unified

12+

Daily actions generated

40-120

Forecast confidence

92%

A Revenue System, Not Another Dashboard

Unify marketing, CRM, and sales outcomes, then let deterministic models explain what happened and what to do next.

Customer 360 Data Backbone
Daily ETL stitching ad spend, CRM activity, sales outcomes, and macro signals into one unified record.
Explainable Predictive Engine
Dual XGBoost models for win probability and revenue forecasting, fully instrumented with SHAP for transparent, causal driver analysis.
Diagnostic "Why" Engine
SHAP-driven drivers, threshold detection, and cohort segmentation to explain why outcomes changed.
Actionable To-Do Lists
Convert complex diagnostics into prioritized, assigned actions that drive revenue growth.
RAG-Powered Executive Chat
Ask natural language questions about pipeline risk, forecast dips, or cohort behavior and get grounded answers.
Secure, Self-Hosted
AWS-hosted infrastructure with PostgreSQL, DVC versioning, and full data ownership.
MVP Architecture

Designed for clarity and scale

Every component is purpose-built to solve the "human problem" of inaction. We turn diagnostics into assigned next steps, so leadership can move fast with confidence.

Daily batch ETL with Polars and APScheduler

Sparse data handling via tree-based preprocessing

Multi-output modeling across revenue, refund risk, and timing

Explainability layer with SHAP and partial dependence

Data Ingestion

Meta + Google + HubSpot + CSV + Macro

Predictive Core

XGBoost + Optuna + Causal Inference

Explainability (XAI)

SHAP + PDP Thresholds + Cohorts

Agentic Layer

LLM Orchestration + Workflow Routing

Delivery

To-Do Lists + RAG Chat + Dashboards

From data sync to action in 24 hours

A clear operational workflow that turns historical data into tomorrow's revenue decisions.

Step 01

Overnight data sync
Ingest ad spend, CRM activities, sales outcomes, and external signals into Customer 360.

Step 02

Diagnostic analysis
Isolate drivers behind wins, losses, and refunds with SHAP and cohort analysis.

Step 03

Prediction run
Update probabilities and revenue forecasts for every active lead and campaign.

Step 04

Action generation
Deliver prioritized to-do lists and executive-ready summaries for immediate action.

Frequently Asked Questions

Clear answers for executive teams evaluating predictive revenue systems.

Ready to build your revenue engine?

Bring your data together, diagnose what truly drives growth, and turn predictions into action.

Schedule a walkthrough