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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.

Description

XLSCOUT provides an extensive and high-quality database of intellectual property data specifically designed for patent analytics, featuring 136 million patents sourced from over 100 countries. This platform is recognized by leading brands and organizations of varying sizes for its reliability and accuracy. By harnessing state-of-the-art artificial intelligence technologies, XLSCOUT has crafted a detailed and intelligent database for patents and research publications. Its use of Natural Language Processing (NLP) and Machine Learning (ML) empowers users to save time while gaining dependable insights, allowing for informed, data-driven strategic decisions. Additionally, the Drafting LLM is an innovative platform that employs Large Language Models (LLMs) and Generative AI to create high-quality preliminary patent drafts efficiently. Furthermore, the Novelty Checker LLM rapidly analyzes both patent and non-patent literature, providing users with a thorough list of prioritized prior art references along with an insightful analysis report on key features. This multifaceted approach ensures that users are well-equipped to navigate the complexities of patent applications and research.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Perplexity

Founded

2022

Country

United States

Website

www.perplexity.ai/hub/blog/introducing-perplexity-patents

Vendor Details

Company Name

XLSCOUT

Country

United States

Website

xlscout.ai/

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization 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 

Alternatives

Alternatives

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