Six UK startups are to join the second cohort of the AWS Generative AI Accelerator.
The tech giant has revealed the 80 global startups accepted for the annual accelerator following more than 4,700 applications.
AWS selected the 20 most promising companies from each region – Asia Pacific and Japan, EMEA, LATAM and North America – representing the next generation of innovation in their fields.
The program kicks off on 1st October 2024 at Amazon’s HQ1 in Seattle and will continue remotely until the programme culminates at re:Invent in Las Vegas on 2nd-6th December 2024 where all 80 participants will be invited to attend and showcase their solutions to potential investors, customers, partners and AWS leaders.
“This new generation of startups is at the forefront of a transformative new wave, pushing the boundaries of what’s possible with artificial intelligence while bringing exciting new solutions to market,” said Jon Jones, vice president of go-to-market at AWS and executive sponsor of the programme.
“Expanding the cohort for our Generative AI Accelerator is a testament to the potential we see for startups to usher in new innovations for customers in an increasingly AI-driven world.”
The 6 UK companies
Ankar
Ankar’s AI engine safeguards intellectual property by protecting and maximising IP assets like patents, trademarks, and designs.
Ethos AI
Ethos is an AI business search engine that allows users to discover relevant domain experts, companies and products for investing, sales and hiring.
Klay Vision
Klay Vision offers a foundational model for music that is designed to offer more control and multimodality in production in partnership with major rights holders.
Latent Labs
Latent Labs builds foundational AI models on vast datasets – public and proprietary – to empower biology partners with entirely new capabilities.
Odyssey
Odyssey builds Hollywood-grade visual AI that can generate and direct scenery, characters, lighting and motion for movie, TV and video game production.
PhysicsX
PhysicsX leverages advanced computer-aided engineering simulation, AI deep learning, and generative methods to reinvent the design and operation of machines and products in advanced industries.