AWS Startups Blog
Category: Startup
Improving Team Velocity with Software Engineering Analytics using AWS Redshift
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.
How Navina Leverages the Full AWS Toolkit to Make Data Work for Doctors and Patients
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.
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.
Ship Your MVP in Hours with AWS Amplify Studio
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.
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.
Video: Dremio Is Transforming How Companies Analyze Their Data on AWS
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.
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.
Welcome Back to the San Francisco AWS Startup Loft
If you’re an entrepreneur with a great idea or a burgeoning startup looking for support, we invite you to immerse yourself in this innovative space and its thriving community at 525 Market Street. The SF AWS Startup Loft is open to all startups building on-cloud and is a free benefit for existing AWS Activate customers.