AWS Startups Blog

Category: Startup

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.

Onkolyze: Leveraging ML to Offer Personalized Cancer Treatment

The fight against breast cancer has made progress over the past two decades thanks to advances in treatment and screening. But while mortality rates from the disease have fallen for women over 50, they remain frustratingly steady for younger women. Onkolyze, a startup based in Singapore, is hoping to help solve just that problem by applying high-powered AWS GPUs and ML, making early detection much easier.

A Systematic Approach for Analytics Services Migration from GCP to AWS

In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.

CloudZero Helps Companies Optimize Their AWS Spending

CloudZero is a Boston-based cost intelligence platform that helps companies determine how best to invest in their cloud infrastructure. Founded in 2016, the startup uses machine learning to produce up-to-date cost insights, allowing engineers to make informed decisions in real-time when launching new products and features. With such a business, it makes sense that CloudZero has been closely tied in with AWS since the startup was founded.

Roadmap Software Startup Aha! Uses Amazon Athena to Ensure Fast Support Responses

Aha! is a leading roadmap software provider, helping more than 400,000 users build products and counting north of 5,000 companies as customers. Founded in 2013 with an entirely distributed team, the company puts customer needs at the heart of its business model. Read how the company was able to drive results by migration to Amazon Athena from BigQuery.