AI Intellectual Property Valuation Agent
Delegate the technical analysis of IP portfolios to a specialized AI agent. It reviews patent documents, trademark registrations, litigation records, and comparable licensing data to extract valuation drivers and generate comprehensive asset assessments. Your valuators focus on judgment calls, not data gathering.
Ideal for
IP Valuators
Lenders & Asset Finance
M&A Teams
See AI Intellectual Property Valuation Agent in action
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Time comparison
Traditional way
3-4 weeks
With GTCX Network agents
3-5 days
Average time saved
80%
Why GTCX Network
Automated Patent Document Review
Extracts claims, prosecution history, and enforcement data from patent documents to identify strength, scope, and vulnerability of each asset in the portfolio.
Trademark Valuation Analysis
Analyzes trademark registrations, renewal status, and market presence to assess brand value and licensing potential across jurisdictions.
Litigation & Enforcement History
Synthesizes litigation records, settlement data, and enforcement actions to quantify the strength and defensibility of IP assets.
Comparable Licensing Analysis
Identifies and analyzes comparable licensing deals and royalty rates to establish market-based valuation benchmarks for similar assets.
Portfolio Risk Assessment
Flags expiration dates, maintenance issues, and invalidation risks that could impact asset value or collateral eligibility.
Defensible Valuation Documentation
Generates structured valuation reports with full citations to source documents, creating an auditable record suitable for financing and legal proceedings.
Analyzes all dimensions of IP value
To deliver defensible asset assessments.
Get started
Import your files
Microsoft Sharepoint Online
,
Google Drive
,
Microsoft Excel
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
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Enterprise-grade security.
Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
