Expert Graph

Exclusive tech: Today’s AI doesn’t really understand the meaning behind the words. It is even worse for technology domains where problems are specialized or need expert knowledge in order to solve. To address this challenge, Expert Graph has developed a “never-ending learner” that has a fluent understanding of natural language on technologies. The learner was trained with hundreds of millions of tech documents and has been learning to understand new technologies 24/7 since then. See word2tech and literature review for a demonstration of our technologies.

Exclusive services:  For technologists (doctors, engineers, investors, researchers, etc.), nothing is more important than being able to keep up with their tech fields and forecast future conditions. This usually takes long hours to finish daily, involving reviewing information from different sources. We provide a “technology search engine” and an exclusive “technical assistant” service customized for each individual user to help them discover emerging techs / experts, potential business collaborators / competitors,  and track newly released products, patents, grants & papers in their interested areas.  Here are some tech assistant demos:

• a plastic surgery doctor’s tech assistant: tracking “breast reconstruction”
• a wall street trader’s tech assistant: tracking “algorithmic trading”
• a silicon valley engineer’s tech assistant: tracking “eye tracker technologies”
• a private equity investor’s tech assistant: tracking “fintech”, “merger & acquisition” tech

How personal assistant works: (1) after signup, users can specify the kind of “organizations”, “people”, “products”, “papers”, “patents” and “grants” that they are interested in (by keywords / categories). (2) users will then get access to real-time tracking results under ~20 different categories and our exclusive expert search, organization search & in-house search services. (3) we also send a daily paper digest email (sample) customized for each individual user to summarize (by machine) the related work published on previous day.