Google has announced that it is inviting applications for the seventh edition of its start-up accelerator program in India. The program aims to support start-ups that are leveraging the potential of artificial intelligence (AI) and machine learning (ML) to solve complex problems and tackle the toughest challenges in their industry. The three-month, equity-free accelerator program for Seed to Series A tech start-ups in India has already helped to accelerate the growth journeys of over 130 start-ups in the country.
Start-ups based in India and working across different sectors, either using or planning to use AI/ML or data, are eligible to apply for the program until April 23. They should preferably be between Seed to Series A stages. The selected start-ups will receive mentorship and support around AI/ML, cloud, UX, Android, web, product strategy and growth.
In addition to mentorship and technical project support, the accelerator provides deep dives and workshops focused on product design, customer acquisition and founders' leadership development. The program will conclude with a demo day to connect founders, increase start-up visibility and drive connections to other ecosystem builders across India.
Google has been focusing on nurturing the Indian start-up ecosystem through various initiatives, including mentorship programs, partnerships and investments. The tech giant has also launched several India-specific products and features, such as Google Pay, Google Station and Google Tez, to cater to the unique needs of the Indian market.
The GFSA program is part of Google's global efforts to support start-ups and entrepreneurs in building successful businesses. The company runs similar programs in other countries, such as the United States, Europe and Israel. The program is designed to help start-ups overcome common challenges such as fundraising, scaling and product development.
With the seventh batch of its start-up accelerator program in India, Google aims to support more start-ups in leveraging the transformative power of AI and ML to create innovative solutions and drive growth in their respective industries.