| Name | Title | Contact Details |
|---|
The focus of our company is optimization of biopharmaceutical proteins for multiple applications, such as targeted drug delivery, targeted
Style.com is a fashion website. It was formerly the online site for the fashion magazine Vogue and W magazine featuring online versions of some of the magazine`s content as well as internet-exclusive material such as event photographs and style-related articles, before Vogue developed its own website.
FYI Business Solutions is a Parsippany, NJ-based company in the Software and Internet sector.
Internet hacking is inescapable. It`s everywhere! An operation that once took individuals hours to execute is now systemized and automated to simplify and structurally repeat processes at rates much higher than humanly possible. Whether bots are scanning online for email addresses, conducting denied service attacks on networked computers, committing click fraud, or sucking bandwidth from web sites, your digital dollars are at risk. Internet Safety begins with knowledge and Grey Cloak Tech is here to educate and protect you from harm. Your digital dollars matter and at Grey Cloak Tech, we value accurate results as expected by consumers. Grey Cloak Tech provides anti-bot software that tracks metrics such as: clicks, impressions, and other online behaviors to identify fraudulent patterns early on in an effort to control and stop it from spreading virally. In short, we keep your business safe from malicious activity.
Imagine what you can do when you know how much of your initiatives contributes to your outcomes. Causal Machine Learning (CML) algorithms recommend how you can innovate your practices to achieve greater business outcomes. CML Insight develops solutions that fulfill this vision. Our development teams are based in the US and Sri Lanka and our team members have years of experience in Machine Learning in general and Causal Machine Learning in particular. We work with clients in Higher Ed, Healthcare and Fintech. Our solutions are already proving the value of Causal Machine Learning in these domains.