PatentPlusAI provides an autonomous AI worker, AutoPat, for comprehensive patent searching and prior art analysis. This system reviews tens of thousands of documents with high precision, delivering detailed, explainable search reports faster and at a lower cost than traditional methods. The platform supports various search types, including patentability, invalidity, and FTO, accelerating IP decision-making for users.
Funding
Funding not disclosed
Founders
Product
Problem
Patent searches are traditionally conducted by human experts, which can be inefficient, time-consuming, and costly. Human searchers are limited in the number of documents they can meticulously review, potentially missing relevant prior art.
Solution
PatentPlusAI offers AutoPat, an AI-driven patent search system that autonomously analyzes invention descriptions and generates detailed search reports within 24 hours. AutoPat meticulously reviews over 150 million patent documents and 38 million research papers, identifying relevant prior art with greater scrutiny than human consultants. The system breaks down the invention description into a set of features to be searched, then classifies the presence of these features in prior art, delivering high-quality results rapidly and cost-effectively. This allows users to make quick IP decisions and iterate on search reports without missing deadlines.
Target Audience
The primary customers are IP organizations and startups, including entrepreneurs needing affordable patentability reports and enterprises requiring bulk search reports for patentability, invalidity, FTO, and landscape analysis.
Features
- AI-driven system that autonomously performs patent searches based on invention descriptions.
- Meticulously reviews over 150 million patent documents and 38 million research papers.
- Delivers detailed search reports within 24 hours.
- Classifies the presence of invention features in prior art.
- Provides follow-up reports free of charge based on user feedback.
- Strict data privacy policy to ensure the confidentiality of sensitive information; no customer data is used for model training or stored for later use.