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features
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support

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Description

Dolcera's premier patent analytics platform, PCS, boasts a vast database of over 110 million patents from around the globe, which is refreshed daily to ensure timely and detailed responses to all patent inquiries. This innovative tool, designed by experts at Stanford University, leverages artificial intelligence to facilitate intelligent searching and analytics. By utilizing a sophisticated machine learning algorithm, PCS delves into various data sources beyond traditional patent literature, allowing for the creation of comprehensive and meaningful categories. Users are empowered to pose the correct inquiries, with the system’s use of synonyms, semantics, and various word forms enabling quick and efficient search formulation without the necessity of poring over scientific documents. High-quality analytics are provided by linking patents to their ultimate owners, ensuring accuracy in results. Furthermore, PCS features a cluster cloud, CPC taxonomy, and assignee normalization that are recognized for their exceptional precision. The platform offers a streamlined search experience, eliminating clutter and making it accessible to users without any prior search experience or expertise. In this way, PCS not only enhances the efficiency of patent searching but also significantly uplifts the overall user experience.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Payitiv CRM Yes 

Integrations

Payitiv CRM No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

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

Dolcera

Country

United States

Website

www.dolcera.com/web/pcs/

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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