PatSeer ProX

PatSeer ProX: Intellectual Property software

IP database that goes deeper

DL Score 30 · Emerging
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Intellectual PropertyLegal AIIP Rights Management

PatSeer ProX is an IP intelligence platform that combines patent analytics with quality scoring to support strategic patent portfolio valuation. ⁣‌‍⁠‍​​⁠‍‌‍⁠‍‌⁠⁠​⁣It serves IP professionals evaluating market position, licensing opportunities, and competitive landscape by correlating patent data with business, legal, and monitoring data points.

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PatSeer ProX

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Overview

What PatSeer ProX does

Each patent family is scored against 30+ quality parameters to identify market leaders, challengers, and niche players. ⁣‌‍⁠‍​​⁠‍‌‍⁠‍‌⁠⁠​⁣The platform supports invalidity and freedom-to-operate (FTO) searches, helping users validate build/buy/license decisions, assess offensive and defensive positions, and identify non-performing assets for divestiture. An AI assistant powered by transformer-based LLM models trained on patent data enables semantic search beyond keyword matching. Shareable dashboards with configurable charts allow teams to communicate insights to stakeholders. The platform is designed to be accessible to non-expert searchers as well as experienced analysts.

What it does

PatSeer ProX core capabilities

Proven Scoring models

Scores each invention family across 30+ quality parameters.

Scalable Patent Analytics

Flexible filtering, layering, and X vs. Y analyser for custom queries.

Effortless Invalidity and FTO Search

Multi-datapoint search supporting build, buy, or license decisions.

Create and Share Dashboards

Shareable chart sets for communicating insights to stakeholders.

Ask, Conclude → Rapidly

AI reasoning for deep technical patent queries with high accuracy.

PatAssist – AI Assistant

AI assistant for patent analysis and search guidance.

Semantic Mapping

Visual mapping of semantic relationships across patent data.

Integrated NPL Search

Non-patent literature search integrated into the platform.

Technical specifications

  • AI powered by transformer-based LLM models trained on patent data
  • Semantic patent search (beyond keyword matching)
  • AI-powered image similarity search (industrial designs edition)
  • 30+ quality scoring parameters per invention family

Case studies

No case studies yet

PatSeer ProX doesn’t have a client-confirmed case study on DreamLegal yet. Try exploring different products for exploring case studies.

Pricing details

PatSeer ProX pricing

Starting price

Contact for pricing

Pricing model

Tiered/package-based

Free version

Free version available

Free sign-up available; multiple editions (Premier, Explorer, Designs)

Product videos & screenshots

See PatSeer ProX in action

Product interface

PatSeer ProX Interface

Comparisons

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Transparency

PatSeer ProX sources

Pages used to generate and verify this profile.

  1. 1https://www.patseer.com/pro-x-intellectual-property-database/

FAQs

Frequently asked questions about PatSeer ProX

PatSeer ProX is an IP software platform that analyzes patent portfolio quality and quantity by correlating patent data with business, legal, and monitoring data. It supports decisions around licensing, asset divestiture, competitor positioning, market risk assessment, and validating the relevance of ongoing research and filings.

PatSeer's AI search uses transformer-based LLM models trained specifically on patent data. Rather than simple keyword matching, it interprets semantic meaning, relationships, and concepts within patent documents to return highly relevant results tailored to the user's query.

Yes. PatSeer ProX takes a qualitative approach to valuation using specialized scoring models that evaluate portfolios from multiple viewpoints — such as assertion, cross-licensing, or defensive aggregation — allowing users to align IP transaction strategy with portfolio strengths.

Yes. The platform includes AI capabilities designed to simplify search for users without a patent search background. Whether analyzing a technology area or a specific company, the system's data and AI tools work together to maximize search precision.

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