About Us

Revenue architecture built by operators, grounded in production.

Clearpath Revenue exists because most companies are trying to bolt AI onto revenue operations that were never designed for it. We bring the strategic architecture expertise to rebuild those systems from the ground up.

Who's Behind Clearpath

Deep experience across revenue strategy, AI systems design, and executive leadership

Clearpath Revenue is led by a revenue architect with deep experience across revenue strategy, AI systems design, analytics, data science, and executive GTM leadership, from Fortune 500 to growth-stage SaaS.

This isn't advisory from the sidelines. Our expertise comes from designing and deploying AI-native revenue systems in production:

SystemApplication
Predictive customer health scoringCS teams act on signals instead of gut feel
AI-powered signal detectionProspecting prioritized by buying intent
Intelligent support ticket routingFaster resolution, better resource allocation
Automated sales coaching analysisRep performance feedback at scale
Buyer seriousness predictionSales focuses on deals that are real

The results behind these systems:

346%

ARR growth over three years

360%

Pipeline growth while improving efficiency

60%

CAC reduction in one year

96%

Logo retention

Additional experience includes representing the revenue org through PE due diligence processes, advising CEOs, presenting to boards, and leading cross-functional GTM alignment across sales, marketing, and customer success.

Strategic when it matters. In the architecture when it counts. Always tied to revenue outcomes.

Philosophy

How we think about Revenue Operations

Revenue operations isn't a support function. It's the architecture that determines whether your company scales efficiently or expensively.

When your revenue architecture works:

  • AI systems learn from every deal, every interaction, every quarter
  • Forecasting improves automatically, not just when someone audits the pipeline
  • Customer health is a living signal, not a quarterly spreadsheet exercise
  • Teams share definitions, trust the data, and make decisions faster

When it doesn't, you get what most companies have: disconnected tools, messy data, and AI that's technically "deployed" but not actually driving decisions.

Principles

Our principles

1

Architecture over optimization

Optimizing a broken system gives you a faster broken system. We redesign the architecture first, then build intelligence into it.

2

AI as the foundation

If AI is an afterthought in your revenue operations, it will produce afterthought-level results. We embed it from the ground up.

3

Revenue outcomes over activity

If it doesn't move pipeline, conversion, retention, or decision quality, it's noise.

4

Clarity over complexity

Simple beats clever when teams need alignment. The best systems are ones your team can actually run.

If your revenue architecture is the bottleneck, let's fix it.

Book a discovery call and we'll talk through your stage, your constraints, and the fastest path to a revenue engine that compounds.