Cloud services and infrastructure for compute, storage, networking, and container orchestration that underpin modern AI applications.
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Use Cases
21
Tools
19
Companies
Cloud Infrastructure Tools
Scalable cloud computing instances including GPU-accelerated P5 and G5 for AI workloads.
Managed Kubernetes service for running containerized applications
Cloud infrastructure platform by Amazon providing compute, storage, and managed services at scale.
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.
Cloud data storage service by Microsoft Azure for storing large-scale structured and unstructured data.
Serverless compute service by Google Cloud for running event-driven code without managing infrastructure.
Serverless container execution platform by Google Cloud for deploying and scaling containerized applications.
Object storage service by Google Cloud for scalable, durable storage of unstructured data and assets.
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.
Serverless container platform by Google Cloud for deploying containerized apps without infrastructure management.
Object storage service by Google Cloud for storing and serving large amounts of unstructured data.
Cloud storage platform by Google for storing, syncing, and sharing files across devices and teams.
Managed Kubernetes service by Google Cloud for running containerized workloads with autoscaling.
Enterprise cloud platform with IaaS and PaaS capabilities
Application observability platform by IBM for monitoring performance and infrastructure in real time.
Cloud-based IBM Power infrastructure for running AIX, IBM i, and Linux workloads.
IBM Power10 processor-based servers designed for enterprise AI, hybrid cloud, and mission-critical workloads.
Enterprise virtualization platform for IBM Power servers enabling flexible workload management.
Kubernetes container platform by Red Hat for deploying and managing containerized workloads at enterprise scale.
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Use Cases (20)
Morrisons, one of the UK’s largest supermarkets serving nine million customers weekly across 500 stores, migrated its on-premise data warehouse to BigQuery and Looker, reducing reporting lag by 98.96% from one day to 15 minutes. Real-time data now powers Vertex AI demand forecasting models and a customer-facing Product Finder app that receives 50,000 hits per day during peak periods.
Duolingo, the world’s most popular language learning app with over 500 million users, relies on GitHub Enterprise, GitHub Copilot, and GitHub Codespaces to keep 300 engineers moving fast across a 400-repository microservices codebase. GitHub Copilot delivered a 25% speed increase for developers new to a codebase, Codespaces reduced setup time for the largest repository to under a minute, and custom API integrations cut code review turnaround time by 67%.
Giles AI, a London-based healthcare AI startup, built its medical research assistant on Google Cloud using Vertex AI, Gemini Pro, and Document AI to help researchers extract structured insights from millions of scientific articles. The platform achieved 95% accuracy in data extraction, a 98% agreement rate with human researchers, and helped one clinical customer cut research task time by 85%.
Fifth Dimension, a global AI platform for commercial real estate asset managers and owner-operators, built a multi-model workflow on Google Cloud using Gemini for large-scale document ingestion and Claude for high-precision reasoning. The platform compressed investment memo drafting from days or weeks to just 30 minutes and achieved 99.9% reliability for multi-hour workflows, driving deals with top-10 U.S. asset managers.
Class Editori, a leading Italian media company specializing in finance, fashion, and lifestyle with 40 years of content archives, partnered with Softlab to build MFGPT on Google Cloud — one of Italy’s first generative AI agents in the media industry. The system unified four decades of journalistic archives and real-time financial data into BigQuery, powered by Gemini and Vertex AI, converting trial users into paid subscribers and securing B2B enterprise agreements with major financial institutions.
AXA Switzerland, the country’s leading insurer covering over 40% of Swiss companies, migrated its entire data infrastructure to Google Cloud and deployed BigQuery, Vertex AI, and Gemini to become a data-driven organization. The transformation reduced complex query times from days to minutes or seconds and generated a high double-digit million Swiss franc profit improvement through Smart Data initiatives.
FedEx 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.
Fifth Dimension, a UK-based AI analytics company serving the real estate industry, migrated to Google Cloud to overcome critical infrastructure bottlenecks. By adopting Vertex AI, Cloud Run, and serverless architecture, the company achieved 50x processing scalability, 6x revenue growth, and a 30% reduction in infrastructure costs — all within a rapid growth trajectory from founding in 2023 to global scale by 2025.
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.