IP Analysis Platform Patsnap Launches CoPilot

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Founding and Evolution

Founded in 2007, Singapore-based Patsnap was established to help IP and R&D professionals do their jobs more efficiently. Initially, its first product was a global patent search database. Over time, the company has been building out its suite of AI products, and its latest launch is its AI assistant CoPilot.

About CoPilot

CoPilot enables users to search patent and non-patent literature more quickly, which the company claims will make IP and R&D workflows faster across Patsnap’s entire product suite. Its proprietary LLM (Large Language Model) also links back to sources, including journal articles and patents, and provides references.

The Need for CoPilot

Patsnap CEO and co-founder Jeffrey Tiong emphasizes that the company exists to remove friction in the innovation process for its customers. IP analysts and attorneys need to run prior art and freedom to operate searches to decide where their companies should invest time and money. Patsnap’s products are designed to make this process smoother.

Patsnap’s Products

Patsnap’s Analytics product includes over 180 million patents and over 130 million pieces of literature from 170 jurisdictions. IP teams can use Patsnap’s AI tools to analyze their markets and protect inventions at scale, says Tiong.

What CoPilot Can Do

CoPilot enables IP and R&D teams to find what they need more quickly within patents, non-patent literature, and technical news. Some examples Tiong gives include getting automatic summaries of patent claims, learning about a technology, and getting links to a company’s patents. It also answers specific problems, such as translating patents and finding relevant literature.

Additional Features

CoPilot also helps R&D and IP teams in four other ways: keeping up-to-date with rapidly changing sectors, providing content analysis to guide strategic patents and research, extracting key details from specific patents and literature, and AI security, which ensures that customer data doesn’t leave Patsnap’s firewall.

About Patsnap’s LLM

Patsnap’s LLM was trained on data from patents, academic papers, technical reports, and recent company news, including mergers and acquisitions. It also incorporates data annotated by IP experts and Patsnap’s products. The LLM learns generic data, specialized data, and aligned data in three stages: pre-train, post-pre-train, and self-training fine-tuning, which allows it to have specialized accuracy in patent and non-patent data.

Patsnap’s Milestones

Patsnap has raised $350 million from investors like SoftBank and Tencent. It has a total of more than 1,200 employees, with 12,000 customers. Its clients come from verticals, including life sciences, automotive, consumer goods, technology, manufacturing, engineering, and legal.

Conclusion

In conclusion, Patsnap’s AI assistant CoPilot aims to streamline IP and R&D workflows by enabling users to search patent and non-patent literature more quickly and providing accurate answers to specific problems. With its proprietary LLM and advanced AI capabilities, CoPilot is poised to revolutionize the innovation process for Patsnap’s customers.

FAQs

Q: What is Patsnap’s primary goal?

A: Patsnap’s primary goal is to remove friction in the innovation process for its customers.

Q: What is CoPilot, and what does it do?

A: CoPilot is Patsnap’s AI assistant that enables users to search patent and non-patent literature more quickly and provides accurate answers to specific problems.

Q: How does Patsnap’s LLM work?

A: Patsnap’s LLM was trained on data from patents, academic papers, technical reports, and recent company news, and it incorporates data annotated by IP experts and Patsnap’s products.

Q: What are some of the features of CoPilot?

A: CoPilot provides automatic summaries of patent claims, learns about a technology, gets links to a company’s patents, and answers specific problems by translating patents and finding relevant literature, among other features.

Q: What is the future of Patsnap?

A: Patsnap has raised $350 million and has a total of more than 1,200 employees, with 12,000 customers. It is poised to continue innovating and expanding its AI capabilities to revolutionize the innovation process for its customers.

Angela Lee
Angela Lee
Director of Research

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