Category: Startup Spotlight

When Gil Elbaz and Ofir Zuk founded Datagen in 2018, it was with the purpose of re-inventing the broken process of how clients obtain data for computer vision network training. More specifically, they wanted to bring data simulation to every computer vision team in a continuous and scalable way.

Camino Financial is dedicated to helping small businesses grow to reach their potential. Leading with empathy, this family-founded, financial technology platform startup aims to bring affordable credit to under-banked Latinx micro businesses, and empower underrepresented communities to build generational wealth.

For most startups, scaling quickly and becoming extremely popular is a desirable goal. But the rate of WOMBO’s growth exceeded even the founders’ wildest expectations, with 25 million downloads in the first month alone—something that created a huge challenge for the company. AWS recognized the situation and stepped in to help.

Food waste is a global issue that stretches far beyond its impact on underfed populations: it’s one of the primary drivers behind the climate crisis, representing 10% of all greenhouse gas emissions. Combating food waste reduces methane emissions in particular, while also preventing the waste of the labor and resources required to make the food. But there’s room for hope, and Too Good To Go is helping make it happen with their free app dedicated to reducing food waste worldwide by connecting customers to restaurants and stores with surplus food.

When catastrophic flooding devastated Germany in July 2021, InsurTech startup claimsforce saw a 300% load increase on their systems. As a key player in the digital transformation of the European insurance industry, they serve multiple insurers and damage adjuster networks, leading to an ever-increasing amount of data stored in their application databases and sources. Learn how they leveraged a Lake House approach to efficiently perform tasks on distributed data and gain insights against a growing volume of data.

As the real-world changes, machine learning models degrade in their ability to accurately represent it, resulting in model performance degradation. That’s why it’s important for data scientists and machine learning engineers to support models with tools that provide ML monitoring and observability, thereby preventing that performance degradation. In this post, we dive into the WhyLabs AI Observatory, a data and ML monitoring and observability platform, and show how it complements Amazon SageMaker.

Back in 2005, Roustem Karimov and Dave Teare were web consultants helping others build e-commerce sites when they started a side project to help keep track of all the different passwords needed for work. At the time, Roustem recalls thinking the opportunity would be a temporary diversion. But it became clear shortly after they finished building the product and put a purchase form up that Roustem and Dave wouldn’t be returning to their day jobs any time soon. Read on to learn how the choice to double down on their idea lead 1Password to a $2 billion valuation.

As a biotechnology company, Stoke Therapeutics is dedicated to addressing the underlying cause of severe diseases with RNA-based medicines. Identifying genomic signatures begins with computational analyses of publicly-available archived data and privately-generated sequencing data. Through AWS, Stoke has quick access to computing resources without the active management of on-prem hardware, enabling them to close the gap between sequencing and interpretation and dedicate more time to science.

.lumen is a Romanian startup working on adding a wearable device to the too-small list of mobility solutions for visually-impaired people. The company’s goal is to pack all the benefits of a guide dog into a headset, making getting around far easier for the millions of blind people who don’t have access to a trained canine.

As the world begins to reconsider international travel, the challenge many governments now face is how to reopen borders to revive their economies, while keeping local communities safe and minimizing health risks. Lengthy lines and unfamiliar screening processes at many airports make it clear that existing systems simply can’t cope with the ‘new normal’ of travelling. Anticipating the need to navigate this incredibly complex and high-stakes landscape, border security experts Travizory developed a world-leading secure SaaS border security and management platform using cutting-edge biometrics, AI and machine learning technologies that enables countries to safely welcome visitors within a matter of weeks.