Connecting the dots so you can innovate better
Transform your business with an AI solution that collates information from databases around the world, from Asia to Europe, Europe to the US, and everywhere in between - making IP and R&D insights accessible to all. Discover more, protect more and commercialize more opportunities than ever, while keeping a tight grip on IP management and risk. Make sense of the unknown, turn data into intelligence, and make the decisions that shape our world.
Gain visual and analytical overviews of IP portfolios to determine risk and reach management decisions that align with business strategy and future opportunities.
With the amount of data now available, our AI-powered analysis delivers real tactical advantages, providing market understanding, competitor intelligence, partnership opportunities, fail-fast alerts and more.
Life Sciences Intelligence
Combining disparate datapoints to empower early stage innovation through powerful sequence searching, improving R&D productivity, reducing litigation risk, and speeding up time to market.
Turning billions of innovation datapoints into actionable intelligence
With the application of machine learning and AI, we connect patents, licensing, litigation and company information with non-patent literature to bring together the world’s most comprehensive IP and R&D datasets into one easy-to-use platform giving you actionable intelligence to support your decision making.
Our data sources:
Explore our Connected Innovation Intelligence resources
Wednesday, June 29, 2022
There's no question about it — the complexity and expanse of data can be overwhelming. In this article, we'll explore how the Modern Enterprise leverages cutting-edge, AI-powered technology to turn innovation data into meaningful insights
Wednesday, June 22, 2022
Are perovskite solar cells a sustainable energy solution? In this article, we'll explore the industry trends, limitations, and future of perovskites.
Tuesday, June 21, 2022
Uncover 8 key IP and R&D insights shaping the future of Multiple Sclerosis research