TARA leverages machine learning to speed the software development of products. Their engine analyzes open source repositories and code residing on the open web to structure, scope and build software projects for product owners across a variety of industries. Their customers include product teams at Fortune 500s like Cisco, IBM, and Orange Telecom.
Today, the process of scoping is a completely manual process; enterprise companies are losing an average of $66B through inefficiencies in IT and software project scoping leading to cost and timeline overruns. However, Fortune 500 companies are sitting on a treasure trove of data in their project management systems, git version control and workforce directories. TARA connects to this data via an API, and using machine learning models, predicts how to build their software (technical tasks), how long projects should take (timeline), and who will execute (team) when starting a new project.