Revenue Intelligence
That Actually Works

Machine learning built for PE due diligence. Not dashboards. Not summaries. Real pattern detection that finds what others miss.

Built to identify millions in hidden revenue risks and opportunities

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Traditional Diligence Is Broken

You're paying for manual work that machines should handle

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Weeks in Excel

Manual analysis delays decisions and ties up your best people on grunt work

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Consultant Theater

Premium fees for basic analysis that could—and should—be automated

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Patterns Go Undetected

Critical revenue signals and anomalies missed until after acquisition

What Inteliqx Actually Does

Pattern detection that goes beyond what humans can spot manually

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Find Revenue Leakage Before It Compounds

Systematically identify hidden revenue issues, expansion opportunities, and optimization potential that manual analysis misses

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Predict Churn Before It Happens

Early warning systems detect customer risk patterns months before they show up in your metrics

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Accelerate Pipeline Intelligence

Predictive analytics surface which deals will convert and which are burning cycles

Dead Simple Process

Sophisticated AI. Zero friction.

01. Connect

Secure integration with target company Salesforce in minutes

02. Analyze

Proprietary ML models process patterns, anomalies, and trends simultaneously

03. Act

Get prioritized recommendations with ROI projections and source data

This Isn't ChatGPT for Spreadsheets

Proprietary ML models trained on revenue patterns. Not generic AI that summarizes documents.

Specialized

Purpose-Built Models

ML architecture designed specifically for revenue pattern detection—not one generic model trying to do everything

Validated

Enterprise-Grade Accuracy

Ensemble learning combined with statistical validation delivers reliable forecasts you can trust

Fast

Minutes Not Weeks

Comprehensive revenue intelligence delivered before your consultant clears their inbox

What You Get

Real analysis. Real math. Real insights.

🎯 Revenue Health Scoring

Multi-dimensional performance evaluation across growth, retention, and unit economics

🧠 Hidden Pattern Recognition

Surface trends in customer behavior that cohort analysis and pivot tables miss

⚡ Anomaly Detection

Flag deviations and emerging risks before they become material issues

🔮 Predictive Risk Models

Forecast churn, expansion, and contraction with forward-looking visibility

📊 Risk Quantification

Calculate concentration risks, revenue exposure, and downside scenarios

💡 Prioritized Actions

Recommendations ranked by revenue impact with ROI projections

Enterprise Security

Built for confidential M&A from day one

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Complete Data Isolation

Your deal data lives in its own secure environment. Period.

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Zero Data Retention

We don't store your data. We don't train on it. It's purged after delivery.

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Bank-Level Encryption

End-to-end encryption on AWS infrastructure with SOC 2 compliance

Every Number Traces Back to Source

Complete audit trails from raw data to final recommendation. Excel-compatible exports with formulas intact. Your team can validate every assumption.

Built by People Who've Lived This

After 15 years building revenue analytics for Dell EMC and RSA Security—analyzing billions in software revenue—we saw the same problem everywhere: siloed data, fragmented analysis, and investment decisions made with incomplete information.

PE firms need the same sophisticated revenue analysis that operating companies have—but they need it in 60 days, not 6 months.

Traditional BI tools weren't built for this. They show you what happened. They don't tell you what it means or what to do about it.

Inteliqx is purpose-built ML for PE due diligence. We automate what takes analysts weeks and surface insights that manual analysis misses entirely.

40+ years of combined revenue analytics expertise meets advanced ML engineering. That's how you solve the data silo problem at scale.

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Join PE firms using ML-powered revenue intelligence

Kill Bad Deals Faster.
Win Good Ones First.

This isn't co-pilot theater. This is diligence done right.

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