AWS Startups Blog

The security of our customers is the top priority for AWS, and especially true for startups in their initial stages of operation.  As an AWS customer, you get the most flexible and secure cloud computing environment available today and benefit from the AWS data centers and network that are architected to protect your information, identities, applications, and devices.

Each month, the AWS Startups blog is packed with announcements, resources, stories, and videos. Let’s get caught up on anything that you might have missed.

Hubble, a Construction Tech company based in Singapore, grew its team size from eight in 2019 to 35 in 2021. As it continues to grow, challenges around productivity bottlenecks became more apparent. To support their employee’s well-being, they used analytics from an AWS Data Warehousing solution, via Amazon Redshift.

Founded in 2018, Navina is leveraging the full AWS toolkit to improve the human-to-human interactions at the heart of healthcare. “[The result is] a better physician experience,” says Anne Amario, Navina VP of Marketing, as well as “better diagnosis and care.” Learn how Navina is driving better patient outcomes and preserving physicians’ revenues.

The super.AI platform helps customers to transform processes involving unstructured data such as images, videos, text, documents, and audio and automate them using a combination of AI, software, and humans. Their customers requested a more efficient, highly accurate labeling mechanism, so they eleased a new feature where the pipeline pre-processes data points using an ML model running on Amazon SageMaker.

AWS Amplify is excited to announce the launch of Amplify Studios, a visual interface to that lets developers go from a Figma design to a feature-rich, full-stack app in hours.

Learn more about the new program that will provide up to $225,000 in cash and credits for early stage startups led by Black, women, Latino, and LGBTQIA+ entrepreneurs, as well as training, mentoring, and technical guidance. Then hear from three founders about what access to capital and resources means for the next generation.

Data infrastructure relies on a variety of data analytics tools and machine-learning capabilities, so DayTwo turned to several of the AWS ecosystem services. Specifically, they are utilizing AWS Lake Formation and AWS Deep Learning Containers in order to analyze large outputs. They’re also relying on Amazon SageMaker to manage all of their machine-learning and AI capabilities.

When Gil Elbaz and Ofir Zuk founded Datagen in 2018, it was with the purpose of re-inventing the broken process of how clients obtain data for computer vision network training. More specifically, they wanted to bring data simulation to every computer vision team in a continuous and scalable way.

Dremio, a SQL lakehouse platform, is a service that enables companies to query the data stored in Amazon Simple Storage Service (Amazon S3) to get fast results and power live dashboards directly on their lake.