Author: Mikey Tom

Founded in 2015, Emedgene has built an AI-based platform to automatically surface insights from genomics data. Previously, this data would need to be analyzed by genomics experts, of which there are only a few thousand around the world. Emedgene applies machine learning algorithms to generate these insights on the fly, essentially teaching computers how to be genetic researchers.

Audioburst is on a mission to build the world’s largest talk audio repository, enabling anyone to easily search for and share content. Initially, the company launched on Azure, but has since fully migrated to AWS for managing its Kubernetes-based system. Since moving, Audioburst has been able to take advantage of multiple other services within the AWS ecosystem, such as Amazon Transcribe. Watch the above video to hear from CTO Gal Klein on what went into the decision to migrate and how it’s been since the move.

Finding the right data, both internally and externally, for your ML can be a huge pain, though. It’s often dirty, hidden behind paywalls, or just not enough to give a full view of a situation. This is where Explorium comes in.

Headquartered in New York, Rally has built a platform that turns collectible items into investable securities, enabling anyone to take part in the potential financial upside of owning high-value assets. From Aston Martins to rare Hermès Birkin bags, Rally users can browse the various categories, select which items to learn more about, and purchase shares in whatever catches their eye, all from the company’s mobile app.

The mass digitization of information has made finding the right thing online difficult to say the least. This is precisely the problem Yewno was founded to solve. Leveraging sophisticated AI, built with AWS, the startup analyzes millions of information sources in real-time. Rather than simply hunting for keywords, the startup’s algorithms read text, understand context and meaning, and explain why things are connected.

Founded in 2019, Tecton is on a mission to simplify the process of building and productizing data for machine learning, in an effort to make the technology accessible to any company. Instead of having data scientists and data engineers operating in silos and spending months implementing data pipelines, Tecton automates the complete lifecycle of data for ML.

These days it seems like artificial intelligence and machine learning are being applied to everything. What’s been lost in the rapid popularization of the technologies is the ability to easily explain how they work. That’s where Fiddler comes in.

VXG is a startup that connects existing enterprises with the newest AI-based video analysis services, like Amazon Rekognition. Companies can easily link their existing network of cameras to VXG’s platform and receive automated analysis at scale, effectively making any camera a smart camera.

Flywire aims to ensure high-value international payments go through fast and friction free—both for individuals and for institutions. To do this, the startup has turned to AWS Fargate to enable its engineering team to develop in a diversity of environments.

The success of an emerging technology giant is grounded in its people, its products, its attitude, and the quality of its infrastructure underpinnings. The team at AMPLYFI, the team took a very methodical approach to ensuring it had the right people, products and attitude, an approach it repeated when deciding which strategic infrastructure provider to form a long-term partnership with.