Amplified

Summary

Provider:

Amplified

Description:

Amplified was built to make working with patent information simpler and more effective. By reading full text and leveraging data such as examination history, Amplified learns what patents mean not just what they say.

Our deep learning AI has been trained on over 140 million records so you get get professional grade results without complex queries and distracting noise. Just describe an idea in plain language or enter a patent number. Powerful filters make it easy to direct search results to particular technical features for maximum control and efficiency.

Amplified also makes it easy to access your previous work by keeping the data you review organized and searchable. Add notes and annotations, keep track of patents you've seen before, and collaborate with your team on shared projects.

Categories:

Classification

Deep Learning

Freedom-to-Operate

Natural Language Processing

Fee:

Free 14 day trial. Paid plans available on a pay-as-you-go basis per project or through a flat per user monthly or annual fee. For more details, please visit our pricing page.

Website:

https://www.amplified.ai/

Included Data

Data:

Amplified covers over 120 million patents globally including 97+ countries and 22 languages. AI searching is currently available in native English and Japanese. Additional languages are now in beta testing and available on request. English searching includes about 34m original language publications and 50m machine translations. For more detail, please see our full coverage.

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Type of Search

Type:

Two options for AI relevance sorting: Neural and Classic
Instant similarity search from patent number or natural language text
Customize and train AI in real-time with relevant patents
Filter results with keywords targetable by field (title, abstract, claims, descriptions)
IPC and CPC class code filters
Boolean logic for filters (AND/OR/NOT)
Proximity and wildcard operators
Bibliographic field search including assignee, inventor, publication date, priority date, publishing office
Legal status and publication type filters
Native language search in English (includes machine translations), Japanese, Chinese, Korean, German, French, and Spanish
Family data, backward citations, forward citations
Multi-color keyword highlighting and term counts

Methods Used

Methods: