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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

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Payitiv CRM

Integrations

Payitiv CRM

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dolcera

Country

United States

Website

www.dolcera.com/web/pcs/

Vendor Details

Company Name

NLPatent

Country

United States

Website

www.nlpatent.com

Product Features

Product Features

Intellectual Property Management

Deadline Management
Docket Management
Document Management
IP Portfolio Management
Information Disclosure Management
Patent Tracking
Renewal Management
Spend Management
Trademark Tracking

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives

Alternatives

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