AWS Startups Blog

Tag: Customer Profile

SEON: Anti-fraud Solutions that Scale like a Startup

Originally starting out as a crypto exchange for the Central-Eastern-European region, Budap were soon facing waves of chargebacks that threatened the business. Unfortunately, by looking around the market we found most legacy companies operating in the risk tech space lacking. They were either prohibitively expensive for an upstart, requiring a long term commitment upfront or the integration process was to be slow and painful, and they often relied on stale data for risk scoring that was not appropriate for certain target markets. SEON was essentially founded to tackle all of these problems.

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Didimo Is Rethinking How We Interact in the Digital World

Didimo, which means “twin” in Greek, has built a platform for creating realistic 3D digital versions of people, based on simple photos or scans. That capability has potential applications in a host of industries, from AR/VR and video games to retail, fashion, and communications—really anywhere people want to have authentic, engaging, immersive experiences.

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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.

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AIH Tech Uses High-Powered GPUs from AWS to Bring an Inclusive Approach to Facial Recognition Applications

There’s been plenty of attention paid by the media to the problems of facial recognition software in recent years. Invasion of privacy, for one, and high potential for misuse, for another. AIH Tech, a Toronto-based computer vision company, has set out to solve the problem that most other facial recognition technologies have faced in their bedrock: racial bias.

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