PredictifyMe
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| Private | |
| Industry | Predictive Analytics |
| Founded | 2014 |
| Founder | Zeeshan-ul-hassan Usmani, Rob Burns |
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Key people
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Robert Burns, CEO Zeeshan-ul-Hassan Usmani, Chief Data Scientist & CTO Marcy Bucci, President Jeff Frazier, Advisor |
| Website | predictify |
PredictifyMe is a predictive analytics company with headquarters in Research Triangle Park, North Carolina. The company uses advanced algorithms and data sets to predict outcomes of social and commercial problems. Its products are based on the research and doctoral thesis of co-founder Zeeshan-ul-hassan Usmani during his studies at Florida Institute of Technology. It works primarily in the fields of security, retail, education, insurance and healthcare.
PredictifyMe was founded in 2012 by Zeeshan-ul-hassan Usmani and Rob Burns. Both of whom were previously Eisenhower Fellows and met during Eisenhower networking. Usmani had completed his Ph.D. at Florida Institute of Technology where his thesis involved a predictive model of suicide bombings that is used for forensic investigations and prevention tool. Burns received his M.B.A. from George Washington University and spent 15 years studying how kids' lives are impacted based on the location where they are born. Burns and Usmani worked together for two years, adapting Usmani's predictive model to predict social and commercial impacts for various regions of the world.
PredictifyMe started with seed round funding of approximately $250,000. The company tried to raise $1 million, but stopped asking for funding due to the number of clients it signed up minimized the need for extra capital. The final amount of funding totaled $305,263 according to its Form D filing. PredictifyMe was officially launched in 2014.
PredictifyMe's initial products included Hourglass and its various versions for different verticals. Soothsayer (predictive modeling software) and SecureSim (simulation software). Originally developed by Usmani and known as BlastSim, the software is the work of his research project and thesis during his doctoral studies at Florida Institute of Technology, and was the basis of his 2011 book Simulation of Suicide Bombing: Using Computers to Save Lives. The software predicts when and where suicide bombings may take place, including providing recommendations for reducing potential injuries in the event of such attack such as providing safe distance recommendations. It is accurate to 91%for predicting injury and fatality rates under various conditions. Based on predictive outcomes, preemptive measures can be taken to help minimize injuries.
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