Category: Startup Spotlight

Machine learning (ML) startups are often heavy compute users, because they train large models using high-end GPUs and deploy them at scale for inference. AWS Startups partners with startups from inception to IPO, and has helped thousands of founders and artificial intelligence (AI) innovators build their businesses on Amazon Elastic Kubernetes Service (Amazon EKS). Amazon […]

Learn how Crate, an innovative generative AI startup founded by CEO Anna Bofa, builds their app on AWS to offer users an online storage system inclusive of all forms of digital artifacts.

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.

Dune, a web3 analytics unicorn founded in 2018, builds on Amazon Web Services (AWS) to provide a web-based platform that allows people to query public blockchain data and aggregate it into shareable dashboards. By migrating from their multi-cloud setup to go all-in on AWS, Dune significantly lowered their costs while optimizing their ability to build and scale.

AarogyaAI, a healthcare and life sciences startup, is building with artificial intelligence and machine learning (AI/ML) on AWS. AarogyaAI rapidly diagnoses drug resistance in patients caused by bacterial, fungal, and viral pathogens. This allows clinicians to make data-driven treatment decisions and prescribe drugs that effectively treat and increase health outcomes for patients.

Healthcare and life sciences (HCLS) startups recognize that technology is an impactful vehicle for advancing human health at speed and scale. More importantly, HCLS startups are working to do something about it. C2i Genomics, founded in 2019, is one such startup: C2i Genomics is building a whole genome intelligence platform to improve cancer monitoring. Using artificial intelligence (AI) and machine learning (ML) solutions, C2i Genomics’ platform analyzes sequenced genome data to detect the tumor burden of cancer patients via a simple blood test.

In the automotive industry, TIER IV is an innovative and disruptive startup that is transforming the vehicle production process and the future of mobility. Founded in 2015 by Shinpei Kato in Japan, TIER IV builds platforms based on open source software—platforms they manage using AWS—that their partners use for building autonomous vehicles.

Startups know firsthand how better technology can improve the quality of life: From AI/ML allowing scientists to better predict patient health outcomes, to cloud computing driving life-saving innovation, and modern apps enhancing accessibility. Fraud.net is one such startup improving quality of life. They use AWS technology to give customers in the banking and fintech industries a serverless modern application that uses artificial intelligence and machine learning to rapidly identify fraud, leading to more efficient operations and higher customer satisfaction.