Overview
The AI Patent Categorizer sifts through the database and automatically identifies the most relevant documents. A mathematical model is categorizing the patent documents into ``relevant`` and ``irrelevant`` and ranks the search results with a binary score of (1 and 0) score relevance. It will also provide the user with an AI-generated confidence score of every result.
Filtering options
Get different filtering options for your search set-up and the visualization of the documents. Now, you can search according to the relevance of the document and the confidence score you want your search results to match. There's also the option to filter the search results according to your needs.
Train the AI
The AI can be further fine-tuned to capture potentially problematic areas with greater accuracy based on weekly monitoring feedback and training. The fine-tuning is tailored to each customer based on provided data.
0%
Time Saving
0%
Success Rate
0/7
Automation
Designed in collaboration with Sartorius
IamIP AI Categorizer was designed in collaboration with the multinational biotech company Sartorius. Discover how this incredible project was managed by reading our Case Study!
Our clients say it best
Willi S.
IP Manager
Jani T.
R&D Manager
Jürgen L.
Line Manager Mecanical
Philipp K.
European Product Engineering Director
Steffen W.
Head of R&D
Sarah H.
Assistance Advanced Development
Frank S.
IP and Technology Manager
Daniel K.
IP Manager
Ari M.
Director, IPR
Thomas E.
Lead Geophysicist
Recognized excellence
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