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Moat Data Products: APIs & Datasets

Moat Innovation Data | Market, Product, and Patent Data | 21K+ Public Companies | Company-Aligned, Time-Aware

Moat Innovation Data | Intellectual Property Data | 21K+ Public Companies | Company-Aligned, Time-Aware

Moat Innovation Data | Proprietary Market Data | 21K+ Public Companies | Company-Aligned, Time-Aware (Copy)

Moat Innovation Data | Proprietary Product Data | 21K+ Public Companies | Company-Aligned, Time-Aware (Copy) (Copy)
Moat Pricing & Cost
Free data trials to include up to 20 years of historical data.
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Moat Competitors & Alternatives
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About Moat
Moat in a Nutshell
Moat’s proprietary AI solutions create unique relationships among entities, markets, products, IP assets, and associated risks that make patent data actionable for investors.
Country Coverage
Data Offering
Time aware patent to product mapping that can also include litigation data, investment data, and/or litigation data. Patent valuations that provide the dollar value of the cost to rebuild a portfolio. Innovation momentum and strength data. Patent lifecycle and expiration data.
Use Cases
Benchmark against innovation peers and competitors by mapping patents to product areas and providing investment, financial, and risk data.
Fundamental investors, PE/VC investors, and corporates: to estimate the
value of patent assets using a cost approach.
Consumer discretionary investors: to expose IP litigation maturity and risk at a
product and/or market level.
TMT investors: to track and distinguish AI innovation vs AI-washing.
Fundamental investors: to understand drivers of innovation and long-term
growth of target companies.
Pharma/biotech investors and corporates: to track blockbuster drug patent
cliffs; to forecast declines in branded drug sales and increases in biosimilar
sales
Related Searches
Data Sources & Collection
Proprietary data set that leverages structured patent data, mapped to products, and leveraging investment data, company financial data, litigation data, and proprietary data sets around innovation velocity, strength, and breadth.
Key Differentiators
Innovation is the engine of long-term growth. Yet, the existing intellectual property data market offers inadequate value to investors.
The majority of incumbent data vendors provide unprocessed patent data.
Incumbent data does not map to actual (non-CPC schema) markets and products.
Incumbent data lacks insights to comprehensively assess and benchmark a company’s innovative core and competitive advantages
Spun out of Aon and AI-powered, Moat Metrics analyses patent data for you – we quantify the risks and rewards of company-specific innovation. Moat makes patent data actionable.
Frequently asked questions about Moat
What does Moat do?
Moat draws on global patent, litigation, and market data to create time aware data products to understand the value, risk, and drivers of company innovation.
How much does Moat cost?
The supported pricing models for Moat’s data are One-off purchase, Monthly License, Yearly License, and Usage-based. Get talking to a member of the Moat team to receive custom pricing options, information about data subscription fees, and quotes for Moat’s data offering tailored to your use case.
What kind of data does Moat have?
Alternative Data, Intellectual Property Data, Litigation Data, Patent Data, and 4 others
What data does Moat offer?
Time aware patent to product mapping that can also include litigation data, investment data, and/or litigation data. Patent valuations that provide the dollar value of the cost to rebuild a portfolio. Innovation momentum and strength data. Patent lifecycle and expiration data.
How does Moat collect data?
Proprietary data set that leverages structured patent data, mapped to products, and leveraging investment data, company financial data, litigation data, and proprietary data sets around innovation velocity, strength, and breadth.
What are the best use cases for Moat’s data?
Benchmark against innovation peers and competitors by mapping patents to product areas and providing investment, financial, and risk data. Fundamental investors, PE/VC investors, and corporates: to estimate the value of patent assets using a cost approach. Consumer discretionary investors: to expose IP litigation maturity and risk at a product and/or market level. TMT investors: to track and distinguish AI innovation vs AI-washing. Fundamental investors: to understand drivers of innovation and long-term growth of target companies. Pharma/biotech investors and corporates: to track blockbuster drug patent cliffs; to forecast declines in branded drug sales and increases in biosimilar sales