AWS Startups Blog
Tag: AI
Paladin AI Looks to Improve Airline Pilot Training Using ML and AWS
Paladin AI is a company that uses machine learning to reinvent the pilot training process. Historically, aviation certifications relied heavily on subjective instructor scoring. The team at Paladin AI is looking to leverage data and ML algorithms to both make process easier and more accurate.
Accelerating Drug Development with Amazon Comprehend at Sumitovant
Sumitovant Biopharma seeks to discover the drugs of the future and rapidly get them to the patients who need them. Scientific research is key to their endeavor. To help us bring medicines to market faster, they need to pick out specific insights from the ever-growing body of literature on chemistry, biology, and disease. So they turned to Amazon Comprehend.
AI-enabled Radiomics Revolutionizes Cancer Research and Treatment on AWS
Healthcare startup Healthmyne is a pioneer in applied radiomics, the cutting-edge field of extracting novel data and predictive biomarkers from medical images. Through their AI-enabled radiomic solutions, they help organizations access and easily translate ground-breaking radiomic insights into use in cancer research, treatment planning, and clinical management.
How Dutch Fintech Startup Floryn Obtained a PSD2 License Using AWS
In 2019, Dutch fintech startup Floryn started the process to obtain a PSD2 license to also provide customers with insights into their liquidity management and financial health and simplify the customer experience of requesting a business loan. Here’s how they leveraged AWS to do it.
DISCO Transforms the Practice of Law Using AWS and Serverless Computing
Austin-based legal technology leader DISCO is on a mission to reinvent the practice of law through software by making lawyers more efficient in everything they do. Founded in 2013, it has revolutionized the way law firms and corporate legal departments operate, using technology and cutting-edge AI to analyze data quickly and free up resources for tasks that require legal judgment. DISCO provides a key competitive advantage in an industry where speed and accuracy are critical.
Olive Builds the Internet of Healthcare and an AI Workforce on AWS
Today, the healthcare industry is flooded with software. Any given hospital has an EMR, billing software, different portals for every insurance partner, and individual medical tools each with their own interfaces, just to name a few. None of these systems work together, and the downstream effects dehumanizes the care experience. Olive is designed to connect these disparate parts, shining a new light on old processes, connecting providers delivering care and payers reimbursing that care to ultimately drive a better patient experience.
Causality Link Uses Amazon Translate to Bring in Global Perspectives
As an investor, Eric Jensen, co-founder and CTO of Causality Link, was frustrated with how difficult and time consuming it was to project trends in financial markets. Too often, he found there was either no information available or only regurgitated sources, and he decided to change how investors consume information to make decisions. Eric started Causality Link to empower investor decisions with natural language processing (NLP) and provide information from around the globe in a consolidated and interactive platform.
AIH Tech Uses High-Powered GPUs from AWS to Bring an Inclusive Approach to Facial Recognition Applications
There’s been plenty of attention paid by the media to the problems of facial recognition software in recent years. Invasion of privacy, for one, and high potential for misuse, for another. AIH Tech, a Toronto-based computer vision company, has set out to solve the problem that most other facial recognition technologies have faced in their bedrock: racial bias.
XR Streaming: How Holo-Light Solves Major Problems of Augmented and Virtual Reality
Since 2015, Holo-Light focuses on immersive software and technologies. In augmented and virtual reality, they see a big driver for global digitization and a new way of experiencing and interacting with content – from the industrial sector to entertainment and gaming. Here’s what they’re doing.
How Startups Deploy Pretrained Models on Amazon SageMaker
For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.