Author: AWS Editorial Team

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.

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 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.

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.

BlockFi, a crypto services platform operating in the fintech space, offers financial products to retail and institutional investors. After rapidly growing from 200 to 1,000 employees during the pandemic, the company knew they needed a solid infrastructure that would allow them to scale quickly and safely.