Cloud services and infrastructure for compute, storage, networking, and container orchestration that underpin modern AI applications.
60
Use Cases
32
Tools
17
Companies
Cloud Infrastructure Tools
Scalable cloud computing instances including GPU-accelerated P5 and G5 for AI workloads.
Managed container orchestration service for running and scaling Docker workloads on clusters without managing servers.
Managed Kubernetes service for running containerized applications
Scalable object storage service for storing and retrieving any volume of data with high availability and access controls.
Amazon's cloud computing platform providing on-demand infrastructure, storage, and managed services at global scale.
Infrastructure-as-code service that provisions and manages cloud resources through declarative configuration templates.
Serverless compute service that runs code in response to events.
Private network connectivity service by AWS for secure access to cloud services without internet exposure.
Serverless workflow orchestration service that coordinates multi-step distributed applications across cloud services.
Automates VMware migration wave planning, dependency mapping, and workload conversion to AWS-native infrastructure.
Cloud data storage service by Microsoft Azure for storing large-scale structured and unstructured data.
Managed cloud hosting for the Elastic Stack, enabling search, observability, and security workloads without infrastructure management.
Serverless deployment model for Elastic cloud services that auto-scales infrastructure without capacity management.
Cloud development environment by GitHub that lets developers code and collaborate directly in the browser.
Comprehensive cloud platform by Google offering compute, storage, AI, and data services at scale.
Showing 15 of 32 tools
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Use Cases (60)
JAKALA is a European data and AI company with more than 3,600 staff across 30+ countries, delivering integrated AI services to clients in banking, insurance, luxury hospitality, and telecommunications. The company built its AI Factory around the Claude Agent SDK—deploying specialized Performance Agents across client media and marketing workflows—and rolled out Claude Enterprise to over 3,000 employees. Senior delivery teams redirected roughly 70 percent of their time from data assembly and reporting to strategic client work, while campaign optimization cycles fell from 5–7 working days to under 24 hours.
AudioShake is a San Francisco-based AI company that trains machine learning models to separate any audio recording into its individual components, serving the music, film, sports broadcasting, and AI training industries. Built entirely on AWS—using Amazon EC2 G6 GPU instances for model training and inference, with Amazon S3, ECS, EKS, Lambda, and Step Functions handling storage and orchestration—the company has built production-grade audio separation that was previously impossible. The infrastructure has enabled partnerships with Green Day, Disney Music Group, and The Sphere in Las Vegas, and earned AudioShake the top prize at the 2024 AWS re:Invent Unicorn Tank competition.
Amazon EC2Amazon S3Allspice is a food technology startup building a kitchen operating system that serves both home cooks and recipe publishers at scale. The company deployed Pinecone’s vector database as a semantic search layer to solve the fundamental problem of matching messy, real-world ingredient language to a structured internal database. Ingredient matching accuracy jumped from roughly 20% to 97%, enabling Allspice to launch its recipe importing feature and unlock new revenue streams for publishers.
HSE is one of Europe’s leading live commerce retailers, reaching over 46 million households across Germany, Austria, and Switzerland through three TV channels, an online shop, and a social commerce app. The company replaced its previous search vendor with Elasticsearch on Elastic Cloud, deploying AI and machine learning features to return more relevant results across a diverse customer base that includes both TV-driven shoppers and digitally native browsers. Within the first six months, HSE saw a 4% increase in search page click-through rates and an 8% improvement in customer satisfaction.
AWSFedEx unified siloed sales, shipping, and web data using Salesforce Data 360 to act on customer signals in real time. By automating dormant account reactivation and personalizing outreach at scale, FedEx achieved over 2,000% ROI and improved customer activation rates by 13%. The platform now powers more than one billion personalized emails annually.
Airtree, a $2 billion Australian venture capital firm, deployed Claude Cowork as shared firm-wide infrastructure to unify fragmented data across tools like Notion, Slack, Google Drive, and Affinity. The team built custom Skills to automate board meeting prep, market research, and portfolio reporting — cutting multi-hour tasks down to minutes. What began as individual productivity gains quickly scaled into a collaborative system where Skills built by one person benefit the entire firm.
InpharmD's AI assistant, Sherlock, leverages Pinecone's vector database to deliver fast, accurate drug information to healthcare professionals. By embedding 30 million medical documents into a RAG pipeline, InpharmD achieved 70% better query accuracy, 95x faster first response times, and 80% cost savings on data storage.
AWS1up, a sales knowledge automation platform, integrated Pinecone's vector database to power a RAG-based system that delivers real-time, highly accurate answers to complex sales queries. The solution replaced a slow, home-grown embedding system and achieved 10x faster response generation for RFPs and compliance questionnaires. Sales reps can now handle high volumes of queries with confidence, reducing reliance on colleagues and accelerating the go-to-market process.
AWSVanguard partnered with Pinecone to build Agent Assist, an internal RAG-powered AI chat tool that helps customer support representatives find answers faster and more accurately. By replacing keyword-based search with hybrid vector retrieval, Vanguard achieved 12% more accurate search results and meaningfully reduced call times — even during high-demand periods like tax season.
AWS PrivateLinkChipper Cash, a fintech serving over five million customers across Africa, deployed a Pinecone-powered facial similarity search system to detect and block fraudulent duplicate sign-ups in real time. The solution slashed identity verification latency from up to 20 minutes down to under 2 seconds, and reduced fraudulent sign-ups by 10x across all markets.
Millennium bcp, Portugal's largest private bank, used Google Cloud's BigQuery machine learning tools to build predictive audience models for personal loan campaigns. By segmenting existing customers by propensity to borrow, the bank dramatically improved both owned and paid media performance. The result was a 2.6x higher conversion rate and a 36% drop in cost per acquisition.
Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.
Amazon EKSHumana replaced its legacy IVR system with an IBM Watson-based conversational voice agent that handles 7,000+ provider calls daily, completing inquiries in 2 minutes at one-third the previous cost.
Global mobility provider SIXT deployed IBM Instana Observability across 170+ AWS accounts and 2,000+ services, reducing problem detection and resolution time by 70% and detecting availability anomalies 50% faster.
Scuderia Ferrari HP partnered with IBM Consulting to reimagine their mobile fan app using IBM watsonx AI, delivering AI-generated race summaries, personalized content, and interactive features that doubled daily active users and increased in-app engagement by 35%.
Blue Origin deployed 2,700+ AI agents with 70% company-wide adoption, achieving a 90% reduction in hardware development time using Amazon Bedrock.
Amazon EKSAWS LambdaPfizer achieved a 93% database reduction and 20% cost avoidance by migrating their global SAP environment to S/4HANA on IBM Power10 infrastructure.
Showing the 17 most recent of 60 use cases