How SYNTASA Came to Be

November 14th, 2016 Posted by Analytics 0 thoughts on “How SYNTASA Came to Be”

The story of SYNTASA begins with the worst terrorist attack in U.S. history.

On September 11, 2001, I was working in New York as an executive at American Express. I was only a block away from the World Trade Center when the towers came crashing down. I witnessed the tragedy of 9/11 unfold in front of my eyes.

The experience shook me deeply. But, it also motivated me to work in the defense sector, to help improve the country’s defenses and prevent anything like this from ever happening again.

In 2013, I moved from New York to Washington D.C. to found ABSc, a company that would focus on providing security services to the government. I landed a project with a federal agency to help their cyber infrastructure.

I started out recruiting a couple of smart, patriotic minds who had already built a name for themselves within the federal government for their advanced analytics work. We soon grew to a staff of several hundreds of people.

Because of budget cuts and drawing down from the war starting in 2009, our company saw ups and downs due to a decline in demand. But still, our management team was strong enough to quickly build the company back up again.

Some of our staff has been around since the company was run out of a small closet of an office. Now, we are a well-known partner of the federal agencies.

Still, my entrepreneurial bug was not going away. So, I started SYNTASA about 4 years ago to build a product to perform Predictive Behavioral Analytics for large commercial enterprises.

SYNTASA’s Predictive Behavioral Analytics software provides enterprises insights into their customer behavior, to help improve business outcomes.

The software analyzes, in real time, the behavior of users. This allows for the creation of dynamic websites that will change according to the customer’s needs, and improves the customer experience.

SYNTASA Predictive Behavioral Analytics is at the forefront of the technological and data revolution, adapting the very latest in machine learning technology to help enterprises identify actions and outcomes. In some cases the software can be used to identify bad guys who could potentially harm our nation.

There are a lot of problems in the world that I’d like to work hard to solve in order to make the world a better place. I also realize that there are many very smart and successful people who can also solve these problems. I feel fortunate that I was given an opportunity to serve our nation in a small way.

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