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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

Octimine focuses on leveraging cutting-edge technologies to streamline the process of patent searching and analysis for IP professionals and researchers in R&D sectors, making it quicker and more precise. Beyond traditional keyword searches, their incorporation of AI allows users to input various texts, including invention disclosures, product descriptions, patent listings, and other technical documents to effectively scavenge the global patent database for existing prior art. The platform's modern and user-friendly interface facilitates easy identification of relevant IP rights across diverse user demographics. Enhanced analytical capabilities are provided through graphical breakdowns, a variety of patent indicators, and numerous collaborative options, which ultimately contribute to more informed decision-making. Moreover, the straightforward interface and simple input methods—such as entering patent numbers, keywords, or technology descriptions—help minimize user frustration and yield more accurate search outcomes. This comprehensive approach not only supports individual users but also fosters teamwork among colleagues, thereby improving the overall patent research experience.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
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 No 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NLPatent

Country

United States

Website

www.nlpatent.com

Vendor Details

Company Name

Dennemeyer

Founded

1962

Website

www.dennemeyer.com/ip-software/octimine-patent-analysis-software/

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 

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