Google Gemini
Google multimodal AI model family
11
Use Cases
10
Companies
8
Industries
Companies Using Google Gemini
Industries
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Use Cases (11)
EVERSANA built the first AI-powered marketing agency platform on Google Cloud using three master AI agents that create complete pharma campaigns in 30 minutes.
Etsy, the global marketplace for handcrafted and vintage goods, serves nearly 90 million buyers across more than 130 million listings from 5 million sellers. Using Vertex AI, BigQuery, Dataflow, and Gemini, the company built a personalized search and discovery platform it calls “algotorial curation” — increasing listings per theme by 80x, driving a 5% lift in SEO-driven visits, and delivering a 3% conversion improvement for sellers.
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.
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.
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.
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.
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%.
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.
Tinexta Visura is an Italian digital trust and technology company that built Lextel AI, a legal research platform for Italian law firms and corporate legal teams. Powered by Elasticsearch, Google Gemini, and retrieval-augmented generation across a repository of 4.8 million legal documents, the platform enables attorneys to locate relevant case law and automatically generate traceable legal opinions. The system reduces attorney research and drafting time by one hour to two full working days per task, depending on complexity.
WP Engine, the leading WordPress hosting platform serving more than 1.5 million users across 200,000 websites in 150+ countries, deployed Elastic’s Search AI Platform alongside Google Cloud Vertex AI and Gemini to build Smart Search AI and enable retrieval-augmented generation (RAG) capabilities for its customers. The integration allows WP Engine to deliver natural language search, context-aware product recommendations, and AI-powered chatbots to website owners without requiring them to stitch together multiple vendors. Response times dropped to as low as five milliseconds, and the platform handled traffic spikes from hundreds of thousands to tens of millions of queries per minute with zero downtime.
Super-Pharm leveraged Google Vertex AI for ML-powered demand forecasting, improving inventory accuracy from 50% to 90% and making forecasting 10x more efficient.