Quant IP

Quant-IP is a patent data and analytics company providing high quality patent information for various use cases to customers in financial markets - asset managers, VC/PE funds and banks. Quant IP delivers actionable insights ready to use, easy to integrate into existing investment processes to investors without needing IP domain knowledge. Everything we do is rule based and automated.

Source: licensed from originator

Use cases:

Quantitative - Trading signals for alpha generation. Long point in time history of high quality mapped patent metrics like inventions and grants.

Fundamental - Competitive Technology Reports on a company level for tech due diligence and accessing the risk of technical risk of disruption including benchmarking and detecting the most important trends specific to companies. Transparent and objective metrics including the proprietary predictive Quant IP Quality Score let investors evaluate the strengths and weaknesses in terms of technology competitiveness in industries from biotech to machinery, from semiconductors to food products.

Sector/Theme - Thematic company search based on patent portfolios. Long lists for deal sourcing and creating investment universes. Quantifiable technology exposure of companies to investment themes. Includes Quant IP's proprietary metrics filter from long to short list.

ESG - Green patent statistics on a company level and thematic level for investment purposes. Green patents serve as a forward looking metric related to the positive future impact of a company to ESG goals and its future revenue stream in sustainable business lines.

Unique selling points-

1. Worldwide coverage, with 99.9% of all patents. Public and private companies in DM and EM. 2. Premium quality mapping from patent assignees to financial entities with point in time corporate trees. 3. Point in time back-testing data starting 1995 for US, 2001 for EU and 2005 for Japan. 4. Quant IP Quality Score: Proprietary ML-based indicator for the quality of patents and patent portfolios. Predictive modelling makes it possible to assess the quality of patent applications from the first day of publication for the first time. 5. ESG data using green tech footprints from WIPO (directly linked with UN SDGs).