Google today announced the six Indian startups who have been shortlisted for the fourth class of Google Accelerator Program. These six startups will be joining an inspiring group of startups from all over Asia, Latin America, Africa and Europe at the Google Developers Launchpad Space in San Francisco. With this batch, a total of 26 startups have so far joined the Launchpad Accelerator Program from India.
The fourth class will kick off from 17th July, 2017 and will include two weeks of all-expense-paid mentorship bootcamp. This batch of startups will gain from Google`s new curriculum that will help the startups to dig deeper into machine learning and AI and help them leverage Google’s latest technologies to scale their apps.
Paul Ravindranath G, program manager for Google India said, “These startups were shortlisted from hundreds of startups who applied this year based on their unique value proposition and use of latest technologies like machine learning and AI (Artificial Intelligence) to build high impact solutions that are solving for the Indian context, focusing on new internet users and digital India. We’re thrilled to see the quality of startups coming from India and we look forward to working them closely for the next six months.”
In the six months program, these startups will undergo intensive mentoring from over 20 teams across Google and mentors from top technology companies and VCs in Silicon Valley. Additionally they will receive equity-free support and credits for Google products. Post their return from San Francisco they will continue to work closely with Google back in India.
The shortlisted startups include companies that cover optimization of financial services ranging from loans, credit cards, up to date information platforms for train journeys, online video platform focusing on content from Indian cinema focusing on South of India to the unique implementation of AI to aid discovery of recipes for cooking. The list also includes B2B companies that use AI or ML for various applications be it image recognition capabilities to aid medical diagnosis by analyzing visual data, providing solutions for talent acquisition and workforce optimization.