AWS Startups Blog

Q Bio is building a digital twin platform that will propel the world into a future where a regular checkup with a doctor is no longer subjective – it’s data driven. They want to capture all the data they can about someone’s health by measuring every single biomarker in the body and cataloging the data, and making it easy to search and analyze. Here’s how they’re doing it.

For startups, being able to save infrastructure cost while improving database performance and automating data layer operations can be crucial. Startups can then shift the cost savings for value innovations while at the same time improve their customer experience. While the value of running on Kubernetes is clear, some claim that this can be a costly affair for customers. In this blog, Pincap shares findings from a benchmark they conducted to compare price-performance ratio when running TiDB on Amazon EKS with AWS Graviton2 (Arm) and on the Intel Xeon Platinum 8000 series (x86).

We occasionally run into startups that built their initial MVP on Firebase but desire to switch to AWS to achieve operations at scale with better data quality and reliability guarantees, and at lower cost.  With Firebase consisting of proprietary services, APIs, and an SDK, a migration to AWS requires application refactoring – introducing a new architecture using AWS services, and rewriting parts of the codebase to use them accordingly. To minimize the disruption of this refactoring, this guide will help you identify what AWS services are best suited for your startup’s new architecture along with some implementation strategies to ease and accelerate the cutover.

Galen Data’s mission is to connect all of the world’s medical devices. It’s a bold one, but they believe connectivity is key to innovation in healthcare. From remote monitoring, telehealth, and early diagnosis, to personalized medicine — these all require data obtained by connecting medical devices and other repositories to a centralized system.

Luma Health is handling the vaccine operations for leading health systems across the United States, both large and small. Their patient engagement platform makes it simple and seamless for people to schedule their COVID-19 shots at mass vaccination sites, federally qualified health centers, community-based clinics, and even their local doctor’s office.

The EMEA Startup Loft will feature four event streams covering business and technical content for startups at all stages of their journeys, along with the chance to connect one-on-one with a member of the AWS Startups team. Sessions will include monthly “Getting Started on AWS” presentations, deep-dive technical workshops for startup developers, vertical-specific Industry Days, and more.

Austin-based legal technology leader DISCO is on a mission to reinvent the practice of law through software by making lawyers more efficient in everything they do. Founded in 2013, it has revolutionized the way law firms and corporate legal departments operate, using technology and cutting-edge AI to analyze data quickly and free up resources for tasks that require legal judgment. DISCO provides a key competitive advantage in an industry where speed and accuracy are critical.

Post-production cloud computing services we’re designed mainly for rendering tasks, while editing and modeling require much broader access to workstation resources. The software filmmakers, designers, and animators normally use on a day-to-day basis couldn’t be installed on a cloud computer. Facing those obstacles required a new idea of a cloud, remote-focused workplace. That’s how Renderro was conceived.

Founded in 2016, the Tokyo-based Kakehashi is on a mission to bring efficiency to the way pharmacies are run by offering a platform that takes away the menial tasks and enables pharmacists to focus on the most impactful work.

The influencer and digital marketing space has become more diverse, accessible, and crowded. Especially for startups, having a proven platform like OpenSponsorship—experienced in completing over 5,000 deals, analyzing the options, and producing data-driven results—has become a must have versus a nice to have.