List of Google Cloud Vertex AI Customers
Google
1600 Amphitheatre Pkwy,
Mountain View, 94043, CA,
United States
Mountain View, 94043, CA,
United States
1 650-253-0000
Communications
1700
$425M
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 | $58M | 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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AssemblyAI | Professional Services | 120 | $12M | United States | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
In 2025, AssemblyAI implemented Google Cloud Vertex AI within its Generative AI Platforms stack to support next-generation speech-to-text and speech understanding model development. The project addressed exponential data growth and compute needs as research models expanded from roughly 1.1 million hours of audio to more than 12 million hours, and storage requirements grew from hundreds of terabytes to over 1 petabyte.
The deployment centralized an AI lake house on Google Cloud, leveraging Google Cloud Storage, BigQuery, and Bigtable for petabyte-scale structured and unstructured data management, and Looker for visualization. AssemblyAI provisioned training infrastructure on Google Cloud using Vertex AI and tensor processing units for model training, while Kubernetes-based orchestration and Cloud Composer were configured to prepare and pipeline large volumes of audio for parallelized training and evaluation.
Operational integrations include Google Kubernetes Engine for container orchestration, Dataproc and Dataflow for large-scale data processing jobs, Cloud Composer for workflow orchestration, and Vertex AI for model evaluation and training orchestration. The configuration enabled on-demand scaling to thousands of nodes and GPUs or TPUs, supporting concurrent experiments and reducing bottlenecks that previously constrained research throughput.
Governance and process changes focused on researcher autonomy and data lineage, reducing engineering handoffs by providing researchers with self-service pipeline patterns via Cloud Composer and Kubernetes. AssemblyAI also instrumented audit, logging, and data lineage capabilities available in Google Cloud to track which datasets trained specific models, supporting compliance with data privacy and ownership requirements.
Explicit outcomes stated by AssemblyAI include a 75% reduction in data storage and infrastructure costs, a decrease in model evaluation time from 24 hours to about 20 minutes using Vertex AI, and an increase in data processing capacity and storage by more than 10 times, enabling training on billions-parameter models with pods of TPUs. The move accelerated model development cycles, including release of the Universal-2 model in under six months after the cloud implementation, and AssemblyAI cites ongoing operational support from the Google Cloud team for experiment ramp and troubleshooting.
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Avathon | Professional Services | 251 | $35M | United States | Google Cloud Vertex AI | Generative AI Platforms | 2025 | n/a |
In 2025, Avathon expanded its collaboration with Google Cloud by embedding Google Cloud Vertex AI into its Autonomy Platform within the Generative AI Platforms category. This integration advances Avathon Autonomy for Energy Operations, a unified AI solution designed to connect data, decisions, and execution across oil and gas, utilities, and renewable energy providers.
The implementation configures functional modules for AI powered asset management, supply chain orchestration, anomaly detection, predictive maintenance, and energy forecasting. Google Cloud Vertex AI is used to enhance machine learning model training and inference for greater precision in anomaly detection and forecasting, while Gemini Enterprise is employed to create intelligent operational agents that automate complex workflows and deliver on demand operational insights.
Architecturally the deployment leverages Google Cloud scalable infrastructure to unify disparate software systems and asset data into a single operational plane, enabling real time insights, predictive analytics, and prescriptive recommendations. The integrated platform explicitly covers geographically distributed energy assets including compressor stations, pipelines, conventional power plants, wind turbines, solar inverters, and battery energy storage systems, and it aligns operational data flows between asset management and supply chain capabilities.
Governance and operational change emphasize operationalizing data driven decision making and enabling autonomous, semi autonomous, and adaptive processes and actions across operations, maintenance, supply chain, and field safety functions. Avathon Autonomy for Energy Operations, powered by Google Cloud Vertex AI and Gemini Enterprise, is positioned to optimize energy production, minimize downtime, extend asset lifespan, improve yields, reduce operational costs, enhance safety, and strengthen compliance readiness for energy providers.
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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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Showing 1 to 10 of 57 entries
Buyer Intent: Companies Evaluating Google Cloud Vertex AI
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Cloud Vertex AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Cloud Vertex AI for Generative AI Platforms include:
- Manulife Financial, a Canada based Insurance organization with 37000 Employees
- Vigilance Sante, a Canada based Healthcare company with 675 Employees
- Pipl, a United States based Communications organization with 25 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Manulife Financial | Insurance | 37000 | $53.3B | Canada | 2026-03-25 |
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Vigilance Sante | Healthcare | 675 | $90M | Canada | 2026-03-19 |
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Pipl | Communications | 25 | $13M | United States | 2026-03-18 |
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Leisure and Hospitality | 3000 | $350M | United States | 2026-03-17 |
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Banking and Financial Services | 500 | $125M | Canada | 2026-03-16 |
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Banking and Financial Services | 525 | $131M | United Kingdom | 2026-03-11 |
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Professional Services | 560 | $136M | Japan | 2026-03-04 |
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Transportation | 210 | $63M | United States | 2026-02-23 |
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Media | 150 | $10M | Bulgaria | 2026-02-19 |
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Professional Services | 160 | $15M | United States | 2026-02-17 |
FAQ - APPS RUN THE WORLD Google Cloud Vertex AI Coverage
Google Cloud Vertex AI is a Generative AI Platforms solution from Google.
Companies worldwide use Google Cloud Vertex AI, from small firms to large enterprises across 21+ industries.
Organizations such as General Motors, Mercedes Benz, NVIDIA, Citibank and HCA Healthcare are recorded users of
Google Cloud Vertex AI for Generative AI Platforms.
Companies using Google Cloud Vertex AI are most concentrated in Automotive, Manufacturing and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Google Cloud Vertex AI are most concentrated in United States and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Cloud Vertex AI across Americas, EMEA, and APAC.
Companies using Google Cloud Vertex AI range from small businesses with 0-100 employees - 7.02%, to mid-sized firms with 101-1,000 employees - 15.79%, large organizations with 1,001-10,000 employees - 40.35%, and global enterprises with 10,000+ employees - 36.84%.
Customers of Google Cloud Vertex AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Google Cloud Vertex AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.