Category: Startup

Sign-Speak is an innovative startup whose language software recognizes American Sign Language (ASL) and translates it into spoken words (and vice versa) with machine learning. Their platform offers real-time ASL recognition, avatar, and transcription to facilitate communication with Deaf and Hard of Hearing individuals. Sign-Speak leveraged the AWS Impact Accelerator Latino Founders cohort to gain technical and business support as they make the world a more accessible and inclusive place.

STIGMA is an asynchronous messaging app that connects people who are struggling with strangers who share their lived experience to give them living proof that what they’re going through is something they will get through. Participating in the AWS Impact Accelerator Latino Founder cohort helped STIGMA to come up with solutions that would improve the product experience for their members, while also helping the STIGMA team to hone skills such delivering a compelling pitch to investors.

Learn how Arcadia, a climate technology company, builds on Amazon Web Services to make energy utility consumption data and pricing data accessible and useful to businesses and individuals.

Learn which AWS services can help you to build a generative AI application. The approaches discussed here can help your startup get its product to market as quickly as possible, while maintaining cost efficiency and high performance.

Applications for the Compute for Climate Fellowship are open now! Submit your application before August 31 to be considered and maybe have the opportunity to be showcased at AWS re:Invent conference in November 2023. Applications submitted after September 1 will be considered for development in 2024.

Build a serverless system using nothing but AWS services and a few lines of code. This simple, cost-effective, and scalable solution allows you to focus on the core business logic of your startup, rather than worrying about scaling and maintaining the underlying infrastructure.

This introduction to generative artificial intelligence (AI) for startups explains various approaches to build generative AI applications and reviews their key components.

Amazon Web Services (AWS) is launching its first Global Fintech Accelerator, giving fintech founders the support and mentorship they need to bring smarter financial services solutions to the market by leveraging the power of AI/ML and the cloud.

Reports show that only 1% of venture-backed founders are Black, 1.8% Latino, and 9% women. AWS aims to help change that. Last year, we launched the AWS Impact Accelerator for startups led by underrepresented founders—giving high-potential, pre-seed startups the tools and knowledge to reach key milestones, such as raising funds or being accepted to a seed-stage accelerator program, while creating powerful solutions in the cloud. Read on to find out more about each of the three cohorts we’ve held so far.

When startups build generative artificial intelligence (AI) into their products, selecting a foundation model (FM) is one of the first and most critical steps. Everything from user experience and go-to-market, to hiring and profitability, can be affected by selecting the right model for your use case. Learn about the most impactful aspects to consider when selecting a foundation model to meet your startup’s needs.