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© 2026 Ascent Partners. All valuation methods trace to the Intangible Asset Valuation textbook.

68 methods · 1,000+ tests · 49 MCP tools · Open source

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The Authority on Intangible Asset Valuation

68 textbook-verified valuation methods. Step-by-step proofs. MCP gateway for AI agents. The most transparent, auditable valuation platform on the internet.

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68

Valuation Methods

1,000+

Verified Tests

49

MCP Tools

4

AI Skills

124

Python Functions

Complete Valuation Toolkit

Every method is textbook-verified with full formula transparency, step-by-step proofs, and Python source code. No black boxes.

Core Methods

Present value, future value, discount rates, CAPM, WACC, and statistical foundations.

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Valuation Approaches

Cost approach, market approach, and income approach with full methodology documentation.

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Income Methods

Relief from royalty, MPEEM, incremental cash flow with TAB calculation.

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Asset Types

IP, brand, technology, customer relationships, and human capital valuation.

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Advanced Topics

Goodwill, purchase price allocation, impairment testing, Monte Carlo simulation, litigation damages.

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From Big 4 auditors to startup founders, our platform is the go-to source for transparent, traceable valuation.

“Finally, a valuation tool that shows its work. The step-by-step proof gives us the documentation we need for audit committees.”

Sarah Chen, CPA

Audit Partner, Big 4 Firm

“As a startup founder, I needed a defensible valuation for our Series A. The stage-aware defaults made it easy, and the methodology gave investors confidence.”

Marcus Williams

Founder & CEO, TechVentures

“The MCP gateway changed how our AI agents work. Now they can run valuations autonomously with textbook-verified methodology.”

Dr. Elena Rodriguez

AI Research Lead, FinTech Labs

“The royalty benchmark data alone is worth the Pro subscription. We've cut our IP valuation engagement time by 60%.”

James Park, CFA

Director of IP Valuation, Boutique Advisory

“I use this to teach my MBA valuation course. The interactive proofs help students understand the math behind the models.”

Prof. David Thompson

Finance Department, Business School

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