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Average Ratings 0 Ratings
Description
Discover the gaps in your competition effortlessly with NLPatent's user-friendly AI-driven patent search platform. By utilizing an AI-centric methodology, NLPatent harnesses advanced language models to interpret innovation in an unprecedented manner. This insight empowers research and development strategies by swiftly evaluating the novelty and inventiveness of ideas, resulting in more effective patent applications and reduced processing times. Additionally, it allows for the measurement of risk and the identification of potential threats by easily finding essential references that might have gone unnoticed before. With this robust intelligence, you can confidently enter the market, minimizing risks in product development while ensuring compliance with existing patents. By expressing your invention in natural language, NLPatent can evaluate relevance through conceptual similarity rather than merely relying on keyword matching, enhancing the search experience. Moreover, NLPatent is specifically crafted to improve search results through user-guided adjustments based on previously known art and newly saved results within the application, making it an indispensable tool for patent research. Ultimately, this innovative approach not only streamlines the patent search process but also fosters a deeper understanding of the competitive landscape.
Description
Perplexity Patents is the pioneering AI-driven patent research assistant that democratizes access to intellectual-property insights, moving away from challenging keyword searches to utilizing natural-language queries that efficiently retrieve and summarize pertinent patents and related works in real time. This innovative tool enhances user experience by allowing conversational inquiries, enabling it to connect terms that might not be identical (for instance, associating “fitness trackers” with patents related to “activity bands” or “health-monitoring wearables”). Furthermore, it expands its reach beyond conventional patent databases by incorporating academic articles, software repositories, and other less traditional sources of prior art, presenting findings in a unified viewer that includes links to the original documents. At its core, this sophisticated research engine employs an agent-based methodology to deconstruct complex queries into manageable retrieval tasks, leveraging a vast patent-knowledge index while also preserving context throughout subsequent interactions. With its unique features, Perplexity Patents represents a significant advancement in the field of patent research, making it easier for users to navigate the complexities of intellectual property.
API Access
Has API
No
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
NLPatent
Country
United States
Website
www.nlpatent.com
Vendor Details
Company Name
Perplexity
Founded
2022
Country
United States
Website
www.perplexity.ai/hub/blog/introducing-perplexity-patents
Product Features
Intellectual Property Management
Deadline Management
No
Docket Management
No
Document Management
No
IP Portfolio Management
No
Information Disclosure Management
No
Patent Tracking
No
Renewal Management
No
Spend Management
No
Trademark Tracking
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No