Element Data

Element Data, founded in 2016 by Geoff McDonald, Charles Davis, and Cyrus Krohn, is a Seattle-based company that has developed an artificial intelligence-based analytics platform geared towards enhancing decision-making processes. The company's core offering is its proprietary Decision Insights Computing Engine (DICE). This platform analyzes various user-provided options and delves into the criteria, biases, and conditions that influence decision-making to understand how individuals will act and to identify trends.

The firm serves both individuals and organizations facing significant choices, such as selecting a school or hiring a candidate. By analyzing the attributes of people engaged in a decision, Element Data can aggregate this information to uncover trends and predict future outcomes. The business model appears to be centered on providing this decision-making software as a service. Revenue generation details are not explicitly public, but the focus on delivering confidence through data suggests a subscription or licensing model for its platform.

Since its inception, the company has secured $11.8 million in funding, with its latest round occurring on January 28, 2019. A notable seed round in April 2017 raised $1.7 million, led by investor Archibald Cox Jr., with participation from several tech executives. This funding was earmarked for expanding the engineering team and furthering product development. In a strategic move to bolster its capabilities, Element Data also acquired the technology and team of PV Cube, a Seattle-based machine learning startup founded by veterans from Microsoft's Cortana and Bing teams.

The founding team brings a wealth of relevant experience. Geoff McDonald, the CEO and co-founder, has a background in content expertise and thought leadership, helping businesses monetize their intellectual property. Co-founder and CTO Charles Davis has prior experience that expedited product efforts following the PV Cube acquisition. Their collective expertise underpins the company's mission to create a platform that acts as a partner in the human decision-making process, aiming to provide users with the confidence that their chosen course of action is the most satisfactory alternative.

Keywords: decision intelligence, artificial intelligence, machine learning, predictive analytics, decision-making software, behavioral analytics, data analytics, Seattle startup, Decision Insights Computing Engine, Geoff McDonald, Charles Davis, Cyrus Krohn, AI platform, enterprise software, decision support system, data-driven decisions, choice analysis, cognitive computing, psychographic insights, predictive behavior