AWS Startups Blog
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.
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.
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.
Welcome to “The evolving role of the startup CFO” series, which features perspectives from prominent players in the startup ecosystem. These blog posts tackle critical questions, including: What does the role of today’s startup CFO entail and how will it evolve over the lifecycle of a startup? How can we most effectively support CFOs as the cloud increases its dominance within the organization and balance sheet? And can the CFO better navigate—and ultimately enable—the relationship between technical leaders, CTOs, and engineering teams?
Read on to learn from Danel Dayan, investor at Battery Ventures, a global, technology-focused investment firm
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.