Radius, the marketing intelligence software startup founded by Facebook vet Darian Shirazi, has raised another $50 million led by Peter Thiel's Founders Fund.
With the latest investment round, the six-year-old San Francisco-based company will have raised $125 million to date, following a $54.7 million Series C round that closed last September.
Radius is not disclosing its exact valuation, but a company spokesperson says it's north of $500 million. The company has doubled its valuation with every round raised.
Radius investors include Formation 8, Glynn Capital Management, Jerry Yang's AME Cloud Ventures, Salesforce Ventures, BlueRun Ventures and Yuan Capital. That's in addition to former Morgan Stanley chairman John Mack and actor/entrepreneur Jared Leto, who participated in Radius's previous investment rounds.
Radius pegs itself as data science company for B2B marketers. Its platform revolves around a predictive marketing software suite and its proprietary data science engine, the Radius Intelligence Cloud, which tracks more than 50 billion data points on 30 million businesses.
The platform connects to a company's CRM platform, and then uses public, government and other partner sources of data to analyze and refine a client's marketing strategy, helping them generate lead lists of their ideal prospects, increase sales or scale to a national campaign. Beyond prospect data, Radius also provides social media activity from the likes of Facebook, Yelp, Twitter, Google and Foursquare, all in one centrally configured place.
Radius clients include office supply chain Staples and POS maker Revel Systems. Its most prominent competitors include Infer, Lattice Engines and Six Sense Media.
Radius plans to use the new capital for continued development of its Intelligence Cloud. As for the company's long-term roadmap, a home on Wall Street is certainly in the cards.
In an interview last September, Sharazi said he ultimately sees Radius as a publicly traded company.
"We want to build a public company," Sharazi said. "You need freedom to build something incredible. We built this practice around data science and the appreciation for data science, and in order to do this right and solve the problems of such a large market, we felt like we had to stay independent."