Category: AWS for Startups

Sometimes companies that offer software-as-a-service (SaaS) need help creating scalable infrastructure so they can deliver their product to a larger audience. AWS SaaS Factory invited Epistemix’s chief executive officer (CEO) and co-founder John Cordier to share how the company is using Amazon Web Services (AWS) to scale, and how their software is helping data scientists […]

AWS and Epiphany co-curate an AI/ML bootcamp called AI/ML Reactor. This rigorous 5-week virtual program aimed at driving AI/ML awareness and empowering startups in Pakistan and includes exclusive master classes, a group tech mentoring session, and one-on-one mentoring sessions with AWS specialists and thought leaders.

To help Fintech startups maximize the value of re:Invent, connect with industry leaders, and catch up on all of the topics you’ve wanted to dive deeper into. we’ve put together the top 10 sessions for Fintech that you don’t want to miss.

Web3 startup Amberdata, who recently closed a $30 million series B funding round, is taking the value of informed decision-making and scaling it across an emerging sector: digital asset data.

Large, nimble technology organizations such as social media platforms, short-term travel marketplaces, and auto manufacturers rely on EngFlow’s platform to keep engineers in flow and maintain the necessary agility for modern software development. AWS is at the core of EngFlow’s success, giving them flexible architecture and cost efficiency, which directly translates into competitive advantage for end customers. To provide performant, reliable, and cost-effective solution to its customers, EngFlow followed the best practices from the AWS Well-Architected Framework. In this post, we’ll focus on the practices that helped improve the price-performance ratio and improve availability.

Most of us are familiar with how virtual reality (VR) can transport us to a make-believe realm. But how can it help us tangibly improve our physical world? For the past six years, the Helsinki-based VR/extended reality (XR) startup Varjo has been creating professional hardware, software, and services to help product designers develop consumer electronics that don’t yet exist.

Building a cloud-distributed and scalable artificial intelligence (AI) application is a cross-team effort that requires complicated management of resources and comes with numerous production concerns such as code changes, refactoring, setting up the infrastructure, and complex developer operations (DevOps). These can confuse the development process, slow down time-to-market, and keep developers from focusing on product innovation.

AWS is launching AWS Startup Ramp in France to accelerate the development of early stage startups in the public sector. This tailored program supports startups in developing new products and services in government technology, healthcare, sustainability, smart cities, space technology, and more.

For data to be useful in a modern enterprise, it must be collected and centralized from various sources, processed across a growing ecosystem of tools, and fed to systems across an organization in a way that’s consumable across teams. This data orchestration —weaving business logic through the data stack for everything from dashboards to personalization algorithms — requires hundreds, if not thousands, of data pipelines.

Though their personal experiences in the lab were different, Sara and Gabriel, PhD student, came to the same conclusion: research labs are seriously lacking when it comes to accessibility. It’s a pervasive problem not limited to one institution or type of disability. That’s why they decided to collaborate with LabVoice—a digital lab assistant platform designed specifically for the research lab. Working together with the LabVoice team, they developed an inventory search solution that allows users to record information, like chemical location and amount, and then retrieve it later entirely through verbal prompts.