Streamline Your Innovation Strategy with PatSnap 

PatSnap can help connect the dots, innovate faster, and bring superior products to market in a fraction of the time. 


Build by innovators for innovators, our AI-powered machine and machine learning solution can: 

Merge billions of data points. 

Enable users to quickly extract key themes. 

Analyze relevant information and identify opportunities. 

Validate ideas and mitigate risk. 

PatSnap Bio

PatSnap Chemical

PatSnap Synapse

Biological Sequence searching in patents and journals.

Chemistry searching and analysis in patents and journals, regulatory data.

Drug discovery, drug development, and analysis.

Turn IP assets into competitive advantage

PatSnap IP enables you and your teams to access Patent and None patent literature World Wide to validate ideas in the early stages of R&D; Track the competitive landscape with ease and reverse engineer technology into new industries!

Identify and validate innovation opportunities before they’re realized in the market

We’re spending more money on R&D every year ($2.1 trillion USD in 2018 alone), but the returns are dwindling (65% drop in R&D productivity in the last three decades). Successful innovation requires the big picture, but R&D teams have an ever-growing challenge to get there: connecting disparate data sources and turning it into useful insights to inform their innovation decision making.

Follow an exceptional growth trajectory for your Biotech innovations

PatSnap Bio is the world's largest biological sequence database and integrates deeply with our patent platform helping accelerate patentability and FTO and explore therapeutic targets.

Powerful analysis in the hands of every researcher

Innovation in chemistry is required in all sectors of industry, whether it be life sciences, material sciences, or many other branches of science. These innovations are the foundation of our modern society and lead the way for businesses to grow and develop, but while more money is spent on R&D every year, the returns have decreased. With growing pressure to yield more effective results from R&D, teams need an easier way to visualize the structural similarity of chemicals compared to one another, with their commercial importance emphasized by patents and alternative data sources, all in one place.

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