Context Relevant is a Seattle-based startup that offers predictive data analysis to businesses without the need to have an extensive analytics team. Context Relevant has raised $7 million in funding after previously raising $2.8 million in seed funding. Vulcan Capital joined the existing investors Madrona Venture Group and Geoff Entress for this round. Bloomberg Beta and several other undisclosed private investors also participated in this round also.
Founded in March 2012, Context Relevant uses real-time data from CRM systems, market data, SQL, web logs, market data, and social media etc. to output data and projections.
Context Relevant VP of Marketing Craig Fiebig said that Context Relevant uses behavioral libraries to analyze interactions around finance, online travel, web personalization, etc.
“Built on a massively parallelized statistics engine, our Flexible Analytics & Statistics Technology (FAST) replaces custom development with reusable, library-based algorithms that deliver results that today could only be attempted with a large team of data scientists. FAST is embedded with cutting edge data science techniques that allow you to focus your energy on business problems?not technology,” says Context Relevant on their about page.