Other participants include AI Hay from Vietnam, Akari Inc. from Japan, and Kompato AI from Singapore, each focusing on unique AI applications across various sectors.

The 10-week program will commence on September 30 at Amazon HQ in Seattle and will culminate in a showcase at AWS re:Invent in Las Vegas in December.

AWS expanded the cohort size from 20 to 80 participants to ensure diverse representation from every global region, reflecting the rapid growth of generative AI.

Jon Jones, Vice President of Go-to-Market at AWS, emphasized the potential for these startups to drive significant innovations in an increasingly AI-driven world.

The selected companies span diverse industries such as software, financial services, healthcare, and media, representing regions from North America to Asia Pacific.

Amazon Web Services (AWS) has announced the selection of 80 startups for its Generative AI Accelerator program, part of a significant $230 million commitment to foster global generative AI development.

These startups were chosen from over 4,700 applications across 129 countries, reflecting a highly competitive selection process with an acceptance rate of less than 2%.

The program's competitiveness is underscored by its rigorous selection criteria, which highlights the innovative potential of the chosen startups.

Each selected startup will receive up to $1 million in AWS credits, mentorship, and go-to-market support, along with educational resources to enhance their AI and machine learning capabilities.

Participants will also gain access to AWS's advanced technologies, including compute, storage, and database solutions, as well as energy-efficient AI chips like AWS Trainium and AWS Inferentia2.

AWS is committed to providing a secure, data-first infrastructure tailored to meet the unique needs of startups engaged in generative AI.

Notable startups include 42X from Chile, which develops AI-powered digital apps for workflow automation, and AA-I Technologies from Israel, known for creating AI systems that solve complex scientific problems.