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AWS launches first space tech accelerator program in India
Amazon Web Services (AWS) India Private Limited has announced the AWS Space Accelerator: India, a technical, business, and mentorship opportunity designed to foster startups focused on space technology, and accelerate their development, with support from, T-Hub, and Minfy. This is AWS’s first accelerator program in India focused on startups in the space sector, and follows the MoU it signed with ISRO and IN-SPACe in September last year, which envisions to nurture startups in space-tech, and support innovation in the sector.
The 14-week accelerator program will provide India-based startups dedicated business resources, expertise, and guidance around technology and business capabilities, and help them leverage AWS to build, grow, and scale their missions. The program is open to both early-stage and mature startups based in India whose missions support the space sector, who need a technology platform for their ideas, and are looking to accelerate their growth and investment opportunities. Interested startups can learn more and register at this link by March 17th, 2024.
Space tech startups operate in a high-risk environment that requires significant capital investment and access to a skilled workforce, and need to undertake significant technology development and testing. The accelerator program seeks to address these challenges by providing space tech startups an opportunity to build and test their solutions using simulation technologies on AWS before making capital investments, allowing them to rapidly experiment at a low-cost, and enhance their solutions, before launching and scaling them.
Startups qualifying for the program can receive an array of benefits, including: up to US$100,000 in AWS credits, as well as guidance from experts at ISRO, IN-SPACe, and AWS, and business and technology support from T-Hub and Minfy, an AWS Premier Partner. Startups will learn about space domain technologies and applications, and how to leverage space data and build scalable solutions using cloud computing, data analytics, and machine learning, including the potential to apply generative artificial intelligence (AI).
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