Ideas & Players

Discover ideas and players that are relevant—but that you didn't even know might exist

"No matter who you are, most of the smartest people work for someone else."

Quote attributed to Bill Joy.

Mergeflow helps you discover and stay informed on...

People

Discover the scientists, entrepreneurs and inventors behind the technologies that matter to you. Identify collaboration partners for your next project, and experts who can bring valuable new ideas to your organization.

Organizations

Discover companies, R&D organizations and investors within and across your fields of interest. Identify those that drive the next generation of technologies and business models.

Concepts

Mergeflow automatically labels all documents—R&D publications, news, blogs and other contents—with patent classes. This enables you to search for concepts, not just keywords.

Materials

Mergeflow discovers chemical named entities in documents. This helps you discover previously undocumented compounds, and materials with certain properties.

In addition to people, organizations, concepts and materials, Mergeflow also detects names of events, investors, locations, patent classes. And various medical entities, such as organisms and diseases.

Read more about entity types in our technical knowledge base →

In combination with discovering markets and investments and emerging technologies, Mergeflow's entity detection helps you go from sifting through documents to exploring new topics and ideas.

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See how companies, experts and topics relate to each other

In order to judge the relevance of a player, it is helpful to see how this organization or person relates to others. Mergeflow uses various types of interactive visualizations to help you uncover these patterns.

Discover central players

Co-author and inventor networks from R&D publications and patents help you identify central people in a technology field or at a company. Mergeflow builds and visualizes such networks, based on the data it extracts from texts.

network of inventors at Google and DeepMind working on reinforcement learning

Explore relations between topics and players

"For my search on ‘smart city’, I want to see which emerging technologies are connected to which companies."

Mergeflow uses Sankey charts to visualize such relations between any two types of object categories.

Sankey chart showing how various computing, network, and other technologies relate to companies such as Baidu, Bosch, Huawei, IBM, and Intel

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Markets & investments

Get market and investment data from news, without having to read the news

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Emerging technologies

Explore game-changing innovations from across technology sectors and industries

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Stay in the know

Stay informed on the latest developments across your topics

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Chemical named entities

Chemical named entities are names of molecules that are mentioned in texts, for example hydrogen peroxide or LiMn2O4. Mergeflow can recognize such names, including ones that it has never seen before. In order to be able to do this, we have developed a new machine learning algorithm.

Chemical named entity recognition has seen substantial advances recently. For example, here is a recent approach:

Tshitoyan, V, Dagdelen, J, Weston, L, Dunn, A, Rong, Z, Kononova, O, Persson, KA, Ceder, G & Jain, A (2019). Unsupervised word embeddings capture latent knowledge from materials science literature. Nature 571, 95-98.


Undocumented compounds

By 'compound' we mean molecules that are made of atoms from different elements. For example, water (H2O) is a compound because it is made of different elements, hydrogen (H) and oxygen (O). By contrast, hydrogen gas (H2) is not a compound because it is made of only one type of element (H).

When publications describe new, previously undocumented, compounds, Mergeflow helps you discover these compounds. This is because our chemical named entity detection algorithm is built such that it can also recognize new compound names that it has never seen before.