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Amazon Nova Customers
Discover how organizations are using Amazon Nova foundation models to build and scale AI applications that are safe, reliable, and cost-effective.
Innovators are Building with Amazon Nova
Customer Spotlight Videos
Amazon Nova Customer Success Stories
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Customers
Box
"Box's Intelligent Content Management platform turns content such as documents, videos, and images, into valuable insights through AI-powered capabilities. As organizations generate vast amounts of unstructured data, there is an increasing need for models that can search and synthesize insights across diverse assets. Amazon Nova Multimodal Embeddings demonstrates increased accuracy in retrieving semantically relevant documents that contain visually rich content, allowing platforms to deliver the right context to their agents through document RAG. We are excited to see this model launching as it enables companies to unlock deeper insights whether they exist in text, images, documents, video or audio content, or any combination of these formats."- Yashodha Bhavnani, Head of AI at Box
Nomad Media
"AI-based video understanding has always been a critical part of our solution – but with Amazon Nova Multimodal Embeddings, we are transforming how our customers interact with their entire media libraries. Previously, we maintained separate embeddings models for each content type, requiring different solutions that created data silos. Now we have a single unified model catering to multiple tasks, whether it is understanding what is happening in videos, picking up spoken words in audio, or analyzing images. This hasn’t just simplified our technical architecture; it has made everything more efficient, helping to break down silos. Best of all, our customers can now easily find and connect related content across different formats, something that used to be a huge challenge before."- Adam Miller, CEO and Co-founder at Nomad Media
Nature Footage
"As a provider of nature and wildlife stock footage to customers worldwide, accurate content discovery is crucial for our business. Amazon Nova Multimodal Embeddings will transform how our customers discover content within our vast collection consisting of diverse species to varied natural habitats, as the model's semantic search capabilities instantly connect them with relevant footage. With our library growing rapidly, it is eliminating the need to manually tag thousands of videos. At NatureFootage we look forward to bringing more content to market faster while delivering exceptional customer experience with Nova Multimodal Embeddings." - Dan Baron, CTO, Nature Footage
Bynder
“Our decision to utilize Amazon’s Nova Multimodal Embeddings ensures that we stay at the forefront of the rapidly evolving digital assessment management (DAM) industry. Customers can perform semantic search using natural language queries in their preferred language across all assets in the asset bank, delivering the assets they need, and this is the value that Amazon’s Nova Multimodal Embeddings unlocks for them. In our tests across image, document and video retrieval, the model achieved an accuracy of 85% on average. It’s also able to maintain accuracy at lower embedding dimensions which allows us to optimize our vector store costs and reduce asset retrieval time. This efficiency without compromising quality is precisely what our customers need to scale content discovery through fast and effective search." - Peter-Paul Houtman, CTO at Bynder
Coactive
“With our major media customers, we’ve seen firsthand the impact that a powerful, accurate video embedding model can have, and Amazon Nova Multimodal Embeddings has shown itself to be state-of-the-art. Highly accurate results make a tremendous difference to content discovery, video understanding, and ad targeting use cases. I am excited to see how Nova Multimodal Embeddings will unlock intelligent content metadata management and search.” - Cody Coleman, CEO
Weaviate
"Weaviate is an open-source vector database that simplifies generative AI application development by providing storage and intelligent search capabilities. Amazon Nova Multimodal Embeddings integrates seamlessly into our architecture, helping developers unlock video, audio and document search in their RAG systems built on the Weaviate platform. We are also excited to see the model deliver leading accuracy across all modalities, enabling our enterprise customers to build and scale their advanced AI applications with faster and more precise vector search." -Tony Le, Sr. Director - Strategic Partners
Customer Testimonials
We fine-tuned Nova Pro in SageMaker AI using our marketing experts' knowledge. This improved the model's ability to identify on-brand images, achieving stronger alignment with Volkswagen's brand guidelines. We are building on these results to enable Volkswagen Group's vision to scale high-quality, brand-compliant content creation across our diverse automotive markets worldwide using gen AI.
Dr. Philip Trempler
Technical Lead AI & Cloud Engineering at Volkswagen Group Services
Amazon Nova Premier has been outstanding in its ability to execute interactive analysis workflows, while still being faster and nearly half the cost compared to other leading models in our tests.
Curtis Allen
Senior Staff Engineer at Slack
At ASAPP, we are focused on using generative AI to deliver reliable, secure, and high-performing solutions for improving customer service in contact centers. We’ve been particularly impressed by Amazon Nova Sonic’s highly accurate speech understanding capabilities which allow for more natural voice interactions and precise dialog handling over telephony. We’re excited to continue using Nova Sonic to deliver secure, high-quality, and precise conversations.
Nirmal Mukhi
VP AI Engineering at ASAPP
Amazon Nova Foundation Models are extremely cost-efficient, and the accuracy and performance are really unique compared with other models.
Satoru Yamamoto
Chief AI Officer at Dentsu Digital
Integrating Nova Act has brought strong reliability across a range of web tasks. With the Nova Act SDK handling complex browser interactions, our engineers have been able to focus on building new features that make Alexa Plus even more powerful. We’re excited to share these updates with our developer community in the coming days—this is just the beginning.
Mark Yoshitake
Director of Product Management at Amazon Alexa PlusDid you find what you were looking for today?
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