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What is Qube?

Qube is an innovative online platform specifically crafted for conducting patent searches and gaining insights into intellectual property (IP), aimed at patent attorneys, IP analysts, research and development teams, startups, law firms, and corporate IP departments. It streamlines prior-art investigations by connecting users to international patent databases through advanced features like keyword enhancement, semantic search, and concept-driven retrieval, making it easier to pinpoint relevant patent documents. Additionally, users can assess patent landscapes, keep track of technological advancements, and monitor competitors’ IP activities, all while visually representing their portfolios with tools such as charts and analytical dashboards. Qube further enriches the patent management process by allowing users to collaborate effectively, thanks to shared search queries and folders, along with the ability to highlight key documents, add notes, and conduct joint reviews. Its robust reporting and analytics capabilities enable IP professionals to analyze patent data for various applications, including patent prosecution, invalidity investigations, and freedom-to-operate assessments, thereby establishing it as a vital resource for IP management. By simplifying the intricacies involved in managing intellectual property, Qube ensures that users can easily access essential information whenever they need it, enhancing their overall efficiency in the field. Ultimately, Qube not only provides tools for IP professionals but also fosters collaboration and strategic decision-making in the realm of intellectual property.

What is PCS?

Dolcera's leading patent analytics platform, known as PCS, features an extensive collection of over 110 million patents from around the world, with daily updates that guarantee prompt and thorough responses to all patent-related questions. Created by experts from Stanford University, this cutting-edge tool employs advanced artificial intelligence to enhance search capabilities and analytics. By harnessing a complex machine learning algorithm, PCS explores diverse data sources beyond conventional patent literature, allowing for the generation of detailed and informative categories. Users are given the ability to formulate precise inquiries, as the system incorporates synonyms, semantics, and various word forms, facilitating rapid and effective search creation without the burden of sifting through dense scientific materials. The platform ensures high-quality analytics by linking patents directly to their rightful owners, which enhances the accuracy of the results produced. Additionally, PCS includes features such as a cluster cloud, CPC taxonomy, and assignee normalization, all of which are praised for their remarkable precision. It provides an intuitive search experience, stripping away unnecessary complexity and making it easy for users without prior search knowledge to navigate. This not only streamlines the process of patent searching but also significantly improves the overall experience for users, making it a valuable tool for both seasoned professionals and newcomers alike. As a result, PCS stands out as an essential resource in the realm of patent analytics.

Media

Media

Integrations Supported

Integrations Supported

Payitiv CRM

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Webinars
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Researchwire

Date Founded

2011

Company Location

India

Company Website

www.qubeip.com

Company Facts

Organization Name

Dolcera

Company Location

United States

Company Website

www.dolcera.com/web/pcs/

Categories and Features

Patent Research

Not specified

Categories and Features

Patent Research

Not specified

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