AWS Startups Blog

Category: Compute

How AMPLYFI Manages Variable Traffic Machine Learning Workloads on AWS Lambda

Founded in 2015, AMPLYFI has developed an insight automation platform that helps organizations to make better decisions and change with conviction. AMPLYFI specializes in developing artificial intelligence driven solutions that unlock and analyze the vast amounts of unstructured data on the internet, internal company datasets, and industry databases, allowing customers to generate key decision-driving insights.

Car Sales Startup Kavak Kicks ML into High Gear with AWS and a Serverless Architecture

Founded in 2016, Kavak is the digital platform that’s making it easier than ever to buy and sell cars. The Mexico City-based founded startup recently achieved “unicorn” status after reaching a $1.15 billion valuation, the first tech company in the country to do so. As Kavak expands its operations to Argentina and sets sights on Brazil, we sit down with Vice President of Data Science, Anders Christiansen, to chat about how machine learning and AWS serverless services helped build the engine behind the company’s ever-improving workflow.

Understanding the New World of Office Space with Basking

Overnight, the COVID-19 pandemic reshaped how and where Americans work. By June, according to a survey from Stanford researchers, 42% of the U.S. labor force was working from home full time, with millions more not working at all. For employers, that shift has led to new challenges as they navigate an unprecedented economy. One big question: what to do with all the empty offices?

Enabling AI and Machine Learning Model Training with Teraki

The Teraki platform, built by AI startup Teraki, automatizes intelligent sensor processing for telematics, video, and 3D point cloud data. The platform is developed with a single ideological concept/goal: Deliver scalability to manage the increasing need to handle sensor data from vehicles and devices in high volumes. Here’s how the team is leveraging AWS IoT services to do it.

Audioburst Featured Image

Why Audioburst Migrated its Kubernetes-based System to AWS

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.

BondEvalue: Disrupting Regulated Bond Markets with Cloud Strategy

Bond markets are huge, far larger than stock markets, with over eight million securities in contrast with only six hundred thousand stocks. They are also far more complex than equities. Minimum investment of $200,000 for most popular bonds means most non-institutional investors cannot invest in bond markets! That’s where fintech and blockchain startup BondEvalue comes in.

Rally Democratizes Investing in High-Priced Collectibles by Leveraging a Serverless-First Architecture

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.

Yewno Uses AWS and ML to Analyze Vast Amounts of Data

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.