Our Network Intelligence effort at Rho AI has resulted in a large graph database of interconnected companies and individuals. The data come from many sources, including publicly available news, funding event notices for private companies, business social network profiles, company websites, online company profiles, and more.
Our system aggregates these datasets and organizes them in a fashion that allows for a wide range of applications. Some applications require simple querying of the database to source profile-like data on companies and individuals, while other applications demand complex connectivity layers to be built on top of the database.
Layers built on the database can include determining a company’s similarity to another based on a mosaic of data inputs, determining a company’s industry segment based on keywords scraped from our data sources, and ultimately determining a company or individual’s relevance to a user or their company. In this way, we can speed up connecting entrepreneurs, partners, and investors.
While the density of engineering talent, customers, and investors in the Silicon Valley ecosystem drives immense value, the region’s dense network inherently does not encompass key contributors to the geographically diverse industrial and energy sectors. Rho AI is able to simulate that Silicon Valley connectivity into these extremely large markets to help build companies faster with less cost with a virtual 'match.com' for customers,partners, talents, and financing.
Instant search engine improvements in their internal database for customers.
Ability to add new companies and automatically sort them into their respective industry vertical.
Allow customers to intelligently navigate ultra-specific technologies and discover new companies.