Case Studies | Healthcare & Life Sciences

Accelerating Medical Imaging AI with Amazon SageMaker HyperPod

About

Sinkove develops advanced diffusion models for 2D and 3D medical imaging, aiming to make diagnostic and treatment workflows more precise through AI-driven visualisation.

Challenge

Growing demand for Sinkove's imaging tools outstripped what its in-house servers and academic GPU clusters could support.
Limited GPU access, rising infrastructure costs, and training cycles stretching over days or weeks were slowing iteration and delivery.
The existing setup made it difficult to onboard new customers without degrading model performance.

Solution

Cloud Combinator, as an AWS Advanced Consulting Partner, rearchitected Sinkove's training pipeline around Amazon SageMaker HyperPod and EC2 P4d (NVIDIA A100) instances, while extending Sinkove's existing NVIDIA Inception AWS credits for maximum cost efficiency.

By the numbers:

Up to 40% faster model training
Up to 50% savings on compute costs
Infrastructure built to onboard 10-12 new customers over the following 12 months

What changed:

SageMaker HyperPod gave Sinkove a managed, high-performance GPU cluster with predictable training performance instead of contested shared hardware.
EC2 P4d instances handled the most compute-intensive workloads with better throughput and cost efficiency.
The fully cloud-based architecture eliminated training bottlenecks and left room to scale to new customers without resource contention.

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The team at Arwen have three core products. ‘Moderate’ is focused on identifying and removing toxic content from social media channels. ‘Engage’ helps brands identify and engage with meaningful conversations on social media, and ‘Customize’ allows brands to apply bespoke algorithms to their channels - creating an even more effective moderation and engagement.

Case Studies | SaaS B2B

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Proof of concept delivered in under 14 days
Feature moved from research into internal user testing and trials
No diversion of budget from other parts of the business, via Cloud Combinator's funding process

Case Studies | Retail

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Cloud Combinator built AdTecher an AI-powered webchat and ad-campaign toolset on AWS, helping Shopify merchants launch optimised campaigns and get context-aware customer support.

Merchants were 4x more effective at deploying ad campaigns during testing
AI-powered webchat gives personalised, context-aware customer support
Platform built to scale with growing merchant demand

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