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What is IFI CLAIMS Direct?

The CLAIMS Direct platform has been carefully designed to conform to an ideal patent format. Each time new data from our extensive network of more than 100 sources is added, advanced algorithms ensure that the information fits our distinctive format without fail. In cases where inconsistencies are detected, a specialized team of professionals promptly investigates and resolves any issues. IFI CLAIMS provides CLAIMS Direct, an all-encompassing global patent database and web service aimed at application developers, data scientists, and product managers alike. Our patent data caters to a broad range of industries, including investment services, life sciences, and the management of intellectual property. The main objective of the CLAIMS Direct platform is to streamline the integration and combination of various new information types. Utilize our tailored framework to effortlessly incorporate and blend both internal and external data sources. Our expert development team will deliver a bespoke hosting solution tailored to your unique requirements, allowing our content specialists to perform quality evaluations on your data sources in conjunction with our internal assessments, thereby boosting the overall integrity and reliability of the data. This cooperative strategy not only enhances efficiency but also guarantees that the final dataset provided upholds the highest levels of precision. Moreover, our commitment to continuous improvement ensures that we remain at the forefront of patent data management, consistently meeting the evolving needs of our clients.

What is DorothyAI?

DorothyAI merges next-level artificial intelligence-driven search capabilities with decades of patent law expertise, providing a powerful suite of tools that consolidates data from diverse sources in a matter of minutes, tasks that would normally take weeks to complete. At the heart of DorothyAI’s platform is the groundbreaking Adaptive Research Technology (ART) framework, which is revolutionizing patent research. ART’s unique approach involves using multiple search models, known as "ensembles," which unlocks the full potential of the world’s patent database to identify novelty and assess freedom to operate like never before. Unlike traditional methods that rely on iterative searches and restrictive keyword parameters, DorothyAI’s approach applies a novel feature weighting technique to more precisely identify relevant technology. This breakthrough dramatically cuts down on search time, enabling legal and technical teams to focus more on the innovative aspects of their projects. DorothyAI not only makes patent research faster and more efficient but also ensures more accurate results, empowering users to make well-informed decisions. With its powerful tools and advanced search algorithms, DorothyAI accelerates the entire patent research process, making it a vital resource for organizations aiming to stay ahead in the fast-paced world of technology. Thanks to DorothyAI, businesses can now say goodbye to lengthy and inefficient searches that hinder progress and innovation.

Media

Media

Integrations Supported

Integrations Supported

Okta

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$50/month/user
Additional packages available.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

IFI CLAIMS Patent Services

Date Founded

1955

Company Location

United States

Company Website

www.ificlaims.com

Company Facts

Organization Name

DorothyAI

Date Founded

2018

Company Location

United States

Company Website

www.dorothyai.com

Categories and Features

Patent Research

Not specified

Categories and Features

AI Legal

Not specified

AI Tools

Not specified

Legal

Not specified

Patent Research

Not specified

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