List of Google Cloud Vertex AI Customers
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Since 2010, our global team of researchers has been studying Google Cloud Vertex AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Vertex AI for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Vertex AI for Generative AI Platforms include: General Motors, a United States based Automotive organisation with 162000 employees and revenues of $187.44 billion, Mercedes Benz, a Germany based Automotive organisation with 175264 employees and revenues of $171.47 billion, NVIDIA, a United States based Manufacturing organisation with 36000 employees and revenues of $130.50 billion, Citibank, a United States based Banking and Financial Services organisation with 226000 employees and revenues of $81.09 billion, HCA Healthcare, a United States based Healthcare organisation with 226000 employees and revenues of $70.60 billion and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Vertex AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Vertex AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Air France-KLM | Transportation | 78399 | $36.5B | France | Google Cloud Vertex AI | Generative AI Platforms | 2024 | n/a |
In 2024, Air France-KLM deployed Google Cloud Vertex AI as a centerpiece of its Generative AI Platforms initiative to accelerate a data centric, multicloud strategy across the airline group. The program targets commercial, cargo, engineering and maintenance operations that generate high volumes of telemetry and customer data from 551 operating aircraft and 93 million passengers carried in 2023, and it aligns Google Cloud Vertex AI with the group’s move to cloud native analytics and lower latency processing.
The implementation centers on a common data lakehouse and BigQuery based analytics fabric feeding Google Cloud Vertex AI for model training and inference, with a dedicated secured generative AI cloud instance provisioned for Air France-KLM. Functional capabilities explicitly scoped include multimodal generative AI modeling, customer agent automation with automatic documentation, and predictive aircraft maintenance workflows, all consistent with Generative AI Platforms functional patterns.
Integrations described in the engagement include BigQuery as the analytics backbone and a multicloud architecture to host applications and data workflows, enabling ultra low latency access to models and data while preserving enterprise data ownership and control. Operational coverage spans product teams, data science and engineering, security and infrastructure groups, and frontline customer service and maintenance operations, supporting both internal and external facing use cases.
Governance and rollout include training and support programs, hackathon style events, and a mix of on site and online training to democratize data and gen AI skills across Air France-KLM teams. Outcomes called out by the collaboration include faster time to market and reduced data processing latency, with predictive maintenance analysis time already falling from hours to minutes, and an explicit aim to improve customer personalization and reduce environmental impact.
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Akeneo | Professional Services | 400 | $53M | France | Google Cloud Vertex AI | Generative AI Platforms | 2024 | n/a |
In 2024 Akeneo implemented Google Cloud Vertex AI as part of a strategy to reinvent product experience, leveraging the Generative AI Platforms capabilities of Vertex AI and large language models like Gemini. The deployment centers on embedding Google Cloud Vertex AI into Akeneo Product Cloud and integrating Unifai capabilities to accelerate AI-driven product information workflows across manufacturers, brands, retailers and customers.
The implementation configures Google Cloud Vertex AI to generate multilingual product descriptions, ingest and enrich streams of images and videos, and support real-time data augmentation and adaptation to local cultural specificities. Functional capabilities emphasized include LLM powered content generation, media enrichment pipelines, and continuous model-driven product information enhancement, all consistent with Generative AI Platforms functional workflows.
Architecturally the work ties Unifai into Akeneo Product Cloud while using Google Cloud Vertex AI as the cloud hosted inference and model management layer, with data pipelines feeding product content, multimedia assets, and localization metadata into Vertex AI models. The design prioritizes managed model lifecycle, online data updates to complement training data, and content delivery to multiple commerce channels via Akeneo Product Cloud.
Governance and operationalization include the creation of an Akeneo AI center of excellence to codify best practices, run training sessions and webinars, and publish white papers and case studies to support adoption. The initiative explicitly aims to sharpen competitive advantage through greater innovation and cost optimization and to enhance the customer purchasing journey by improving product information quality and relevance, while impacting product information management, merchandising and e commerce functions.
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Apollo Hospitals | Healthcare | 82786 | $2.6B | India | Google Cloud Vertex AI | Generative AI Platforms | 2023 | n/a |
In 2023, Apollo Hospitals expanded its partnership with Google Cloud in Bengaluru, India to deploy Google Cloud Vertex AI within its Apollo 24|7 platform, using Generative AI Platforms to extend telemedicine, online consultations, home delivery of medication, and clinician decision support across its nationwide healthcare network. The announcement frames Google Cloud Vertex AI as a core component of Apollo 24|7, India’s largest and fastest growing health platform, positioned to deliver an omnichannel healthcare experience that spans patient facing services and clinical workflows.
Apollo Hospitals and Google Cloud jointly developed a Clinical Intelligence Engine abbreviated as CIE, built with Google Cloud Vertex AI and large language models to provide AI powered clinical decision support that identifies next best actions for clinicians during consultations. The implementation also includes AskApollo, a patient facing care navigation service built on top of the CIE, and the team is exploring Med PaLM 2 for medical question answering and clinical text summarization, reflecting a Generative AI Platforms approach to both clinician and patient interactions.
The technical footprint was deployed on Google Cloud using a microservices architecture, with Apollo 24|7 engineering teams and partner Searce deploying 78 microservices and over 40 databases with zero downtime, and with the Apollo 24|7 data lake implemented on Google BigQuery to consolidate siloed data. Google Cloud Vertex AI is used in concert with BigQuery and Google’s LLMs, and the service design keeps all patient data securely within Apollo Hospitals systems while leveraging cloud compute and model hosting for inference and model lifecycle management.
Governance and operational controls were emphasized as part of the rollout, Google Cloud’s data governance and privacy practices are applied, and model monitoring, output review, safety guardrails, and documentation are used to support responsible use of generative models in clinical contexts. The program explicitly targets improved access to timely and accurate health information, enhanced clinician decision making, and scalable delivery of care navigation and telemedicine services through the Apollo 24|7 platform.
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Professional Services | 120 | $12M | United States | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
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Professional Services | 251 | $35M | United States | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
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Retail | 700 | $320M | France | Google Cloud Vertex AI | Generative AI Platforms | 2024 | n/a |
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Banking and Financial Services | 490 | $92M | Indonesia | Google Cloud Vertex AI | Generative AI Platforms | 2024 | n/a |
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Banking and Financial Services | 2357 | $400M | Malaysia | Google Cloud Vertex AI | Generative AI Platforms | 2024 | n/a |
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Retail | 30 | $3M | Portugal | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
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Manufacturing | 4000 | $2.5B | United States | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
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Buyer Intent: Companies Evaluating Google Cloud Vertex AI
- SIGMAXYZ Holdings, a Japan based Professional Services organization with 560 Employees
- Modern Aviation, a United States based Transportation company with 210 Employees
- Tv7 Bulgaria, a Bulgaria based Media organization with 150 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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