Overview

California-based startup that is looking to disrupt the VC investment arena by predicting the success of the potential startup-investor relationship leveraging AI technology.

Challenge

Our client spent over a year analyzing profiles of a wide range of startups to see if there is a way to predict the success of a given company before pouring money into it. It turned out that data analytics alone was not able to produce accurate results. So they set their eyes on the emerging field of Artificial Intelligence to get more help. After investing a significant amount of time and energy, they came up with a proprietary AI-based approach that yielded much better outcomes. Now they needed a company who could turn their mathematical algorithms into a product.

Solution

Our team analyzed the business need, reviewed the client’s algorithms and designed a solution. The heart (or the “brain”) of the solution is represented by a recurrent neural network framework. It consumes a large number of data points about a given startup organization and generates a prediction data set. Then backend services layer ingests that data and serves it to the slick user interface. The UI presents the outcome in a form of graphs and charts to allow end-user make business decisions for various investment scenarios.


  • PHP, AWS, ANGULAR JS, RECURRENT NEURAL NETWORK

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