AWS Startups Blog

In this blog post, Indonesian logistics startup Shipper shares their technology transformation journey and how they’ve grown and supported a couple hundred orders per day back in 2017 up to hundreds of thousands orders per day in recent years with the help of Amazon Web Services (AWS) managed services such as Amazon Elastic Kubernetes Service (Amazon EKS).

We’re excited to announce the launch of Build on AWS, a new offering from AWS Activate designed to help startups build their infrastructure on AWS in minutes.

Carsome is Southeast Asia’s largest integrated car ecommerce platform. With operations across Malaysia, Indonesia, Thailand, and Singapore, they aim to digitize the region’s used car industry by reshaping and elevating the car buying and selling experience. Here’s how they’re using Amazon SageMaker to free up resources to innovate.

The growing customer preference for software-as-a-service (SaaS) puts enterprise software startups in a rare position of advantage compared to established firms. AWS SaaS Factory invited Poojan Kumar, CEO and Co-founder of Clumio, to share the early successes and learnings from steering the startup that is disrupting a segment with numerous corporate behemoths.

Menten AI created the world’s first protein designed on a quantum computer. The feat has huge implications for the world of drug discovery and design—and ultimately for all of us who may benefit from novel therapeutics to treat diseases.

Cumbersome, disparate data sources in highly regulated environments have historically obstructed longitudinal patient views in clinical research. To help clients generate maximum evidence from trials, Precision Digital Health (PDH) developed a cloud-based platform capable of integrating and harmonizing disparate data assets in the R&D and life sciences industry.

Artificial intelligence may be the future, but 90% of AI models developed today don’t make it into production. DarwinAI has set out to solve that problem by enabling organizations to understand and optimize models, making it easier to build what matters.

HeyJobs aims to be the leading platform for those looking for the right job to live a fulfilling life. Serving millions of job seekers means that they need to ingest hundreds of thousands to future millions of job-offering details, multiple times a day, every day. Gokay Kucuk, an engineering manager on the inventories and integrations teams, shares their learnings about the AWS services they utilized for their serverless transformation. At the end of this transformation, the job ingestion capacity of HeyJobs grew from few hundred thousand to few millions per day while reducing their costs by ~30%.

PulpoAR looks to bring together the digital and physical worlds using augmented reality. The company has launched its platform with the ability to virtually try on makeup online, but plans to expand into other categories, like skincare, in the near future.

One of the goals of every fast-paced organization is to have a Continuous Integration (CI) pipeline that ensures every check-in is best verified before it can be pushed to production. HackerEarth wanted to achieve a CI model that has enough safety nets for every check-in that goes into each Pull Request (PR), as well as make the process scalable and cost effective. These safety nets in the pipeline provide constructive feedback for the PR, and the necessary steps are then taken to mitigate the gaps. For integration tests in this pipeline, HackerEarth used AWS CodeBuild along with Amazon S3 and Amazon ECR.