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About Patent Monitor

Patent Monitor is a software platform from Averbis that connects to PatBase and Pat-KM for effective patent monitoring and management. It provides Medical Summary, Docs2FHIR, Health Discovery, Medical Dialog, and Consulting so organizations can gain insights into patent landscapes. The software supports various users including hospitals and software manufacturers in navigating complex patent information. Patent Monitor facilitates better understanding and utilization of patent data for advancement and compliance. Key capabilities: Medical Summary Docs2FHIR Health Discovery Medical Dialog Consulting Best for: hospitals and software manufacturers that need comprehensive patent insights and management solutions.

Patent Monitor Details

Vendor
Averbis
Year Launched
2007
Location
Hauptsitz Salzstraße 15, Freiburg, Baden-Württemberg 79098, DE
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online
Countries Served
All Countries.
Languages
English, Spanish, German, French, Italian, Portuguese
Users
Intellectual Property (IP) professionals, Patent lawyers and law firms, Research and development (R&D) departments in technology companies, Innovation and technology consulting firms, Corporations managing large patent portfolios, Investors and analysts in technology and patent sectors
Industries Served
Technology, Pharmaceuticals, Biotechnology, Telecommunications, Automotive, Engineering, Manufacturing, Legal Services
Tags
Patent Analysis, AI-driven Categorization, Patent Monitoring, Intellectual Property Management, Machine Learning, Patent Search, Innovation Monitoring, Freedom to Operate (FTO), Patent Landscaping, Competitor Analysis

Patent Monitor's In-App Market Place

Does Patent Monitor have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Cad (C$), Aud (A$), Cny (¥), Inr (₹), Rub (₽), Brl (R$), Mxn (Mex$), Krw (₩), Ils (₪), Sar (﷼), Try (₺), Thb (฿), Sgd (S$), Myr (RM), Chf (CHF), Nzd (NZ$), Zar (R), Sek (kr), Dkk (kr), Nok (kr), Hkd (HK$), Twd (NT$), Pln (zł), Huf (Ft), Czk (Kč), Aed (د.إ), Clp (CLP$), Php (₱), Idr (Rp), Vnd (₫), ArS ($), Cop (COL$), Pen (S/), UYU ($U)

Pros & Cons

  • 1. AI-Powered Efficiency: Uses AI to automatically categorize patents, improving speed and accuracy.
  • 2. Time-Saving: Automates patent analysis, reducing manual effort and saving time.
  • 3. Customizable Categories: Users can create their own categories for patent classification.
  • 4. Continuous Learning: Improves categorization accuracy over time with user feedback.
  • 5. Seamless Integration: Easily integrates with existing workflows via APIs.
  • 6. User-Friendly Interface: Intuitive interface accessible without technical expertise.
  • 7. Actionable Insights: Provides confidence scores to assess categorization quality.
  • 8. Robust Support: Offers tutorials, guides, and customer support for setup and troubleshooting.
  • 1. Learning Curve: Initial training with examples can require time and effort.
  • 2. Dependency on Initial Input: The system’s effectiveness depends on the quality of the initial categorization examples.
  • 3. Limited Advanced Customization: Customization options may not be as advanced as some other patent analysis tools.
  • 4. Potential for Misclassification: The AI system may occasionally misclassify patents, requiring user review.
  • 5. Not Fully Automated: Manual review is still needed, especially for complex data or fine-tuning.

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