PatSeer Your Next Generation AI-driven Patent Search and Intelligence Platform

What is PatSeer?

PatSeer is an advanced intellectual property intelligence platform designed to streamline patent and industrial design processes. Leveraging artificial intelligence, it simplifies the complexities associated with searching, reviewing, analyzing, and collaborating on IP matters. The platform integrates AI-driven semantic search with traditional expert search methods, enabling users to refine results efficiently and accelerate their innovation pipeline. It provides tools for in-depth IP analytics, incorporating both quantitative and qualitative assessments of patent portfolios through multi-dimensional charts and strategic visualizations.

The system enhances productivity with features like an AI Classifier for precise categorization of patents and Non-Patent Literature (NPL), offering both automatic and moderated modes. PatSeer also facilitates seamless collaboration across teams by enabling ranking, reviewing, annotation, and sharing of curated patent datasets. An integrated AI Assistant aids in obtaining answers to complex technical queries, making patent analysis more intuitive. Furthermore, it includes specialized AI capabilities for industrial design searches, utilizing image recognition technology alongside comprehensive global data coverage.

Features

AI+ Expert Search: Combines AI-driven semantic search with traditional Boolean expert search for refined results.
IP Intelligence: Delivers multi-dimensional quantitative and qualitative analytics charts for comprehensive technology area assessment.
AI Classifier: Categorizes patents and NPL precisely using automatic or moderated modes, allowing taxonomy creation and reuse.
Collaboration Tools: Enables ranking, reviewing, annotation, and sharing of curated patent datasets with progress tracking.
AI Assistant (PatAssist): Provides answers to deep technical queries using advanced reasoning.
AI-powered Industrial Design Search: Utilizes image recognition technology for searching global design data.
AI-Generated Patent Summaries: Creates concise summaries explaining the 'what, how, and why' of inventions quickly.
AI Search Refinement: Narrows down search results to specific areas of interest.
AI-driven Similarity Searches: Finds similar patents and conducts targeted searches for invalidity and infringement.
Boolean Search Reranking with AI: Sorts Boolean search results by relevance based on user-defined text or records.
Relevant Record Recommender: Suggests contextually similar records to ensure comprehensive searches.

Use Cases

Optimizing patent portfolio management.
Identifying IP monetization and licensing opportunities.
Conducting competitive intelligence analysis.
Performing white space analysis to uncover new technology areas.
Generating detailed technology landscapes.
Screening ideas and inventions for R&D teams.
Researching patent invalidity and potential infringement.
Collaborating on IP projects across different teams or departments.

FAQs

What AI capabilities does PatSeer offer?

PatSeer includes AI Search (semantic understanding), AI-Generated Patent Summaries, AI Classifier (automated categorization), Search Refinement, Similarity Searches (for patents, invalidity, infringement), Boolean Search Reranking with AI, and a Relevant Record Recommender.
How frequently is the PatSeer database updated?

The database is updated multiple times each week with new patent publications. Weekly updates also include legal status information, family information, reclassification data, and US maintenance and reassignment details.
Can users export records from PatSeer?

Yes, PatSeer allows exporting patent data in various formats, including Excel, Word, PDF, XML, and CSV.
Where does PatSeer source its legal status data?

PatSeer incorporates INPADOC legal status data, along with details from the USPTO Public PAIR and InPASS for Indian documents.
What security and privacy measures does PatSeer implement?

All logged-in sessions use SSL encryption (2048 bit). No user data is saved on the client's machine unless explicitly exported. User searches and history are stored in private databases inaccessible to others.