AWS Startups Blog
Category: Artificial Intelligence
Why Cybersecurity Startup ActZero Migrated Its ML-based Platform to AWS
Founded in 2019, ActZero is an ML-based cybersecurity company that equips small to medium-sized businesses to detect and manage breaches. The Seattle-based startup is now aggressively scaling after completing a full migration to AWS.
Rethink Debt Collection: How Machine Learning Improves your Receivables Management
No one wants to hear from a debt collection agency. Most people associate it with letters in red, capital characters, high charges with imaginative reasons and intrusive phone calls. Berlin-based fintech PAIR Finance’s mission is to change that with the help of Machine Learning, introducing you and your customers to a completely new debt collection experience.
PromoMii: Video Ads Powered by AWS Machine Learning
Creating a movie trailer takes time and most broadcasters and streaming platforms don’t have enough resources to do it. PromoMii, a UK startup, solves this problem with a unique blend of domain expertise and machine learning. Here’s how they do it.
How dely Uses Amazon SageMaker to Provide Personalized Recipe Recommendations
Since dely is able to create its own recipe content, the startup can control both human wave-attack based and rule-based annotation, as well as how to apply feedback from user activities. In particular, Amazon SageMaker allows dely to train and deploy models quickly without the cost of additional resources. Here’s how.
The Startup’s Guide to Building Machine Learning on AWS
Allie K. Miller the Head of ML Growth, Startups and Venture Capital and Emily Webber, Machine Learning Specialist Solutions Architect, both of AWS, walk through how to create an Amazon SageMaker notebook instance.
Axial3D: Powering the Revolution in Medical 3D Printing with Amazon SageMaker
Axial3D uses EC2 to host the infrastructure that allows surgeons to easily and quickly place orders to request a 3D printed model. They store the images on S3 and record metadata about them on DocumentDB, allowing them to quickly and easily track and sort their data.
Aiconix Transforms the Way Companies Use Their Content
Analysts estimate that by 2021, videos will account for over 80% of consumer internet traffic. To stand out companies and brands will need to maximize the value of their content and understand how a story, a posting, a video can be optimized to leverage consumers interest. Identifying and owning the relevant data to achieve this is just the first step in the new workflow. Aiconix, named one of the 30 most promising startups in the German speaking regions by Forbes magazine, is doing just that.
Transifex & Amazon Translate: Bringing Machine Translation to Enterprise Content Management
At Transifex, we’re constantly asking ourselves what building products can look like when localization becomes an integrated part of the standard developer stack and agile workflows. What technology do we need to enable companies to go global from day one?
How OAG Analytics Leverages AI and Machine Learning to Optimize the Profitability of Oil and Gas Wells
In 2013, Luther Birdzell formed OAG Analytics to create an AI platform that enables oil and gas companies to use more of their data to help solve critical problems like well spacing. Today, the OAG-Amazon SageMaker integration enables customers to unify their datasets and create proprietary analyses using virtually unlimited compute.
Fighting Financial Crime with Hawk:AI
For hawk:AI, many of the fraud challenges the financial industry faces can be overcome with the power of AWS machine learning.








