| Name | Title | Contact Details |
|---|---|---|
Scott Moore |
Chief Technology Officer | Profile |
Steve Brunker |
Chief Information Officer | Profile |
Future is building the most rewarding way to pay in the fast-growing sustainable economy.
Chapter empowers consumers to maximize Medicare through greater choice and clarity, while minimizing cost and complexity. Our commitment is simple: it`s impossible to find a better Medicare recommendation or better support anywhere else. Chapter`s team and technology search every Medicare option nationwide -- more than 24,000 -- at an unprecedented level of detail. Chapter`s licensed advisors provide personalized, end-to-end guidance to Americans navigating Medicare. We are motivated by the belief that the other side of 65 should be everyone`s best chapter yet.
Since our founding in 1991, weve been completing residential and multi-family building repipes to the highest standard. With our proven One-Stop Repipe™ process that uses only the highest quality materials on the market that are built to last, we deliver a complete end-to-end home repipe installation in just 1–2 days at a competitive price with no hidden costs and a lifetime warranty.
Indus Holding Co is committed to creative products that emphasize consumer safety while advancing the changing perceptions of cannabis use.
Coffee Meets Bagel (CMB) is a free dating service that helps members make meaningful connections. It`s designed for busy singles who want to find something real with little or no effort. What makes Coffee Meets Bagel different from other dating apps is our relentless focus on creating meaningful connections. Every day at noon, Coffee Meets Bagel introduces you to one single who is a friend of a friend. You must LIKE or PASS your match (aka "Bagels") within 24 hours. Mutual LIKE leads to a private chat line that expires in 7 days. Our algorithm is key to curating the best match for our members each day. We see the biggest area of opportunity in incorporating social elements in addition to hard data--through members` inputs such as friend recommendations and real-time feedback. Ultimately, we believe that our members do a better job than algorithms at regulating human interactions.