AWS Startups Blog

Proscia was founded to perfect cancer diagnosis with intelligent software that changes the way the world practices pathology. Here’s how they do it.

The AWS team went to Toronto, Canada to speak at Collision, North America’s fastest-growing technology conference. Here’s what you missed from day two.

Gain insights into BARK’s wins and losses and how they were able to build a successful recurring revenue model with Co-founder Carly Strife.

Stonly, a Paris and Krakow-based startup, allows users to customize how-to guides and learning modules for their web pages. Alex Fogel, Co-founder and CEO of Stonly, talks about the inspirations behind Stonly, the challenges the company hopes to solve, and how AWS has helped it scale.

When someone suffers a stroke, every seconds counts and could mean the difference between being ok, permanent brain damage, or even death. Despite time being of the essence for treatment, the current process for decision making can take up to three hours. Deep learning startup Viz.ai is on a mission to change that.

The AWS team went to Toronto, Canada to speak at Collision, North America’s fastest-growing technology conference. Here’s what you missed from day one.

Public speaking tool InStage uses VR software to create scenarios in which users can practice presentations. Co-founder Imran Mouna describes how the company was founded, who its primary users are, and what’s next in 2019. 

The majority of farmers face a common set of questions. Given the inputs a farm has — water, fertilizer, crop type, soil — coupled with changing weather conditions (especially given climate change), how can they best optimize their yield? How can they farm smarter? Belaruse-based AI startup OneSoil has the answers.

Jean Gaillard, Co-founder & CEO of Nomalab, chats with AWS about how the French startup is simplifying digital content logistics, the wide range of customers it serves, and how his experiences working in media production provided inspiration.

Datavant enables health companies to share sensitive health data securely. An important part of this process is de-identifying records so that they can be used in research or analytics contexts where identifying information is unneeded or required by law to be removed. Datavant supports both on-premise and cloud workflows to de-identify data. In this post, we share a simple approach to turn our native on-premise application into an AWS-hosted cloud service over the course of a single sprint cycle.