Flight disruptions cost organizations and passengers billions of dollars every year in inefficiencies, unanticipated travel expenses, and lost productivity. But, what if delays could be predicted months, weeks, or hours ahead of time? Lumo, a predictive technology company is doing just that – using machine learning to forecast flight disruptions makes planning easier and flight changes less stressful, and helps to alter plans should a delay arise. Founded in 2015 by CEO Bala Chandran (PhD, UC Berkeley) and Chief Scientist Hamsa Balakrishnan (Associate Professor of Aeronautics & Astronautics, MIT; PhD, Stanford University). Lumo processes terabytes of data to provide detailed insights on potential flight delays and then allows users to proactively avoid and manage disruptions. The adoption of the company’s technology will not only benefit travelers, but organizations who serve them such as airlines, travel management companies, online booking tools and others.
—Bonny Simi, President, JetBlue Technology Ventures
—Bala Chandran, co-founder and CEO of Lumo