AWS Startups Blog

Category: Amazon SageMaker

IntelloLabs 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.

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Fairmarkit 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.

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Engineering Engagement: Mesh CEO Saurabh Nangia on Leveraging Data Analysis to Foster Personalized Employee Experiences

Employee experience is fundamental to a business’s success, which is why startup Mesh has developed an intelligent social network for companies that makes it easy for employees to manage goals, share feedback, and conduct check-ins.

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graphic depicting Kurashiru platform stats

How dely Uses Amazon SageMaker to Provide Personalized Recipe Recommendations

Since dely is able to create its own recipe content, the startup can control both human wave-attack based and rule-based annotation, as well as how to apply feedback from user activities. In particular, Amazon SageMaker allows dely to train and deploy models quickly without the cost of additional resources. Here’s how.

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