Case Study IV of IV– Benchmarking PatSeer’s Semantic search relevance
07Sep

Case Study IV of IV– Benchmarking PatSeer’s Semantic search relevance

The fourth case study in a series assesses PatSeer's AI Search through benchmarking against diverse science-based invention descriptions, demonstrating its effectiveness in handling patent data from various scientific fields for research and analysis.

Case Study III of IV– Benchmarking PatSeer’s Semantic search relevance
28Aug

Case Study III of IV– Benchmarking PatSeer’s Semantic search relevance

In the third case study of a series, we evaluate PatSeer's AI Search through benchmarking against invention descriptions from various scientific domains, highlighting its proficiency in handling patent data across diverse research areas.

Case Study II of IV– Benchmarking PatSeer’s Semantic search relevance
14Aug

Case Study II of IV– Benchmarking PatSeer’s Semantic search relevance

These case studies aim to showcase PatSeer's AI search effectiveness across diverse invention descriptions from different fields, emphasizing its versatility in handling patent data and aiding research in various scientific domains.

Case Study – Benchmarking PatSeer’s Semantic search relevance
13Jul

Case Study – Benchmarking PatSeer’s Semantic search relevance

PatSeer's AI semantic search, utilizing an advanced transformer-based LLM model for patent data, excels in screening new invention disclosures and conducting patent searches for novelty, invalidity, and infringement. This inaugural case study demonstrates its precision and accuracy in handling claims.

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