AWS Startups Blog

Category: Startup

Automating Unstructured Data Processing with Amazon SageMaker

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 Launches $30 Million Impact Accelerator for Underrepresented Founders

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.

Video: DayTwo Is Using Data Analytics from the Gut Microbiome to Further Healthcare

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.

Using AWS to Build Tools That Will Design Tomorrow’s Green Infrastructure

Web application, Optioneer, employs multiple AWS services and is updated daily thanks to its continuous deployment pipeline. However, as it grew in complexity, the team at Continuum Industries realized they needed to overhaul their deployment process to deliver more reliable updates to production, faster. That is when the AWS startup team stepped up to provide additional support.

Lokavant Creates a Paradigm Shift in Clinical Trial Intelligence with AWS

Lokavant is a Clinical Trial Intelligence company with the mission to decrease the time and cost of developing drugs by mitigating operational risk. When developing their products and platform they partner to provide the best environment for building and deploying, without bogging down the business with unnecessary costs and effort. Lokavant quickly realized that AWS could help provide the solutions that they urgently needed.

How Citus Health Uses AWS to Provide Secure and Real-Time Virtual Patient Care

Startups move at a very fast pace, and details like security, elasticity, and availability can end up neglected due to wanting to release a product or service as quickly as possible. By utilizing AWS, Citus Health was able to leverage built in tools and services to secure their environment and ensure that their services remain available and resilient.