Understand & analyze technology concepts, areas, actors & trends.

We want to help entrepreneurs, students, and people who want to better understand new technologies. We believe our approach can enable them to better handle continuous learning and to better understand how technology will impact their work and lives.


We are building a product that changes the way we learn about technology.

Asgard collects and organizes comprehensive information on the world’s latest technologies and their ecosystems.

Search a technologies you heard about like you would do on Google...
But instead of giving you a bunch of links, asgard gives you:

  • structured, accessible & interactive results
  • from high quality data sources
  • for a list of predefined questions people usually ask

What is this technology??”


How are people using it, applications
Advantages & drawbacks
Related technologies: complementary & similar

Who is working on this technology?”


Companies, universities,
researchers, developers, open-source projects...

“Is this technology mature?”


Fundings, publication & patents, articles, code repositories, …


Our technology allows us to provide structured, accessible and interactive information to our users by processing our data sources into a comprehensive source of information.

We use the latest technology in machine learning, natural language processing and in large scale data analysis to handle the 4 main tasks.

Concept extraction

We collect and extract key concepts from the data sources we have selected.


We use the context where our concepts where extracted from in order to disambiguate and link them to the right Wikipedia article and identify technologies.

Relation inference

We infer relationships between our concepts to extract new information about technology such as its attributes, advantages and drawbacks, or applications people are building with.

Knowledge graph construction

We use the relationship we extracted from text, the structure of our selected datasources, and our Wikipedia referential to build our own knowledge graph database.

Our data sources

Asgard is currently built unpon these data sources



We use the Wikipedia public knowledge database to build our customed ontology - knowledge graph - upon. It is a way to have an accessible, structured & up-to-date referent source to analyze our different sources.



The arXiv grants open access to more than a million e-prints in Physics, Mathematics and Computer Science. These publications indicate research and development trends and help us to analyze research ecosystems.



TechCrunch is an online publisher of technology industry news. Analysis of news about technology & startups is a way to detect market trends and latest opinion. It is also a way to do prospective about technology and to understand how technology is impacting our lives & behaviors.



CrunchBase is startup database operated by TechCrunch that contains information about the startup ecosystem: investors, incubators, start-ups, fundings, IPOs, M&A deals. These data reflect market shifts.



Patents data from the United States Patent and Trademark Office (USPTO) is a window into technology research & development, as well as a marker of interest of companies into technologies.



GitHub is a web-based Git repository hosting service the largest host of source code in the world. This is the best source of information to know what computer science related technologies people are genuinely using and how they use it.

Analyzed data

patents grants
1M+ scientific publications
200k+ indexed companies
200k+ tech news articles
4M+ wikipedia articles
38M+ GitHub hosted projects