AWS Startups Blog
Tecton Feature Store Brings DevOps to ML Data
Founded in 2019, Tecton is on a mission to simplify the process of building and productizing data for machine learning, in an effort to make the technology accessible to any company. Instead of having data scientists and data engineers operating in silos and spending months implementing data pipelines, Tecton automates the complete lifecycle of data for ML.
Read MoreIntelloLabs Cuts Down on Fresh Produce Wastage using AI and Computer Vision
$500 billon worth of food is wasted or lost every year, around the world. One billion extra people could be fed if food losses could be halved. We all know technology can do wonders, and its adoption in agriculture is pacing up – that’s where India-based Intello Labs comes in. Their VP of Sales walks us through how they used AWS to create a computer vision-driven solution to help eliminate food waste.
Read MoreFiddler Uses AWS to Makes it Easy for Companies to Explain ML Models
These days it seems like artificial intelligence and machine learning are being applied to everything. What’s been lost in the rapid popularization of the technologies is the ability to easily explain how they work. That’s where Fiddler comes in.
Read MoreFairmarkit Uses Smart Sourcing to Reduce Tail Spend and Optimize Procurement
Fairmarkit is an intelligent sourcing platform that enables organizations to more efficiently purchase goods and services. When it came to solving the recent PPE problem that arose with COVID-19, Fairmarkit was able to use their large dataset to identify new, lesser-known suppliers, connect them with large enterprises, and direct more than three million units of PPE to the front lines.
Read MoreAmazon DynamoDB on Production: FinBox’s Compilation of Lessons Learned in a Year
FinBox is a comprehensive digital lending platform with a focus on underwriting using alternative data. For one of FinBox’s products DeviceConnect, they provide a credit score based on enriched mobile device data for customers. At the time of writing this article, they were scoring close to a million customers per month and ingesting close to 80 GB of new data every day. DeviceConnect makes heavy use of Amazon DynamoDB. Here are the lessons they learned after using DynamoDB in the product for the last year.
Read MoreCost Optimization: How MoneySmart Group Leveraged AWS to “Live and Breathe Efficiency”
MoneySmart lives and breathes efficiency and believes in intelligent use of AWS services to deliver high ROI and keep costs low. Here’s how they’re doing it.
Read MoreInmagine Group Migrates to AWS to Support Growth and Enhance Operational Efficiency
INMAGINE is a global creative ecosystem powered by design, technological innovation, and entrepreneurship specializing in creative content and services. The group has been in the market for over 20 years with a strong presence across the United States, Europe and Asia. In this migration case study, we will cover how 123rf.com, the flagship website of Inmagine Group, was migrated over to AWS.
Read MoreExtending the Benefits of the Cloud to Healthcare Revenue Cycle Operations
The team at Alpha Health has developed new approaches and built technology from the ground up that is purpose-built to automate revenue cycle operations for healthcare. They call their solution Unified Automation, and they built it on Amazon Web Services (AWS) for a number of reasons. Varun Ganapathi, co-founder and CTO of Alpha Health, tells us more.
Read MoreAnyClip Leverages AWS to Power its AI Video Analytics Platform
AnyClip is a Tel Aviv-based startup has built a platform that can analyze videos frame by frame, in real time, and identify what’s in them. The goal is to help media companies and businesses make their entire video libraries accessible, searchable and personalized on their own domains, making viewers spending more time on sites and not elsewhere.
Read MoreVXG Enables Any Camera to Leverage the Latest in AI-based Video Technology
VXG is a startup that connects existing enterprises with the newest AI-based video analysis services, like Amazon Rekognition. Companies can easily link their existing network of cameras to VXG’s platform and receive automated analysis at scale, effectively making any camera a smart camera.
Read More










