Technologies
Data Science And Machine Learning
Companies using Google Cloud AI Hub

Companies using Google Cloud AI Hub

Google Cloud AI Hub is a centralized platform for AI and machine learning resources, enabling organizations to discover, share, and deploy ML pipelines, notebooks, and models with robust governance, collaboration features, and seamless integration with Google Cloud services.
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Companies using Google Cloud AI Hub

Technology
is any of
Google Cloud AI Hub Technology Logo/Icon
Google Cloud AI Hub
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Amaze Systems
United States Country Flag Icon
United States
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1
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Unlock the full database of
2
companies actively hiring with
Google Cloud AI Hub
technology, including firmographic data,
7,472
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Developers using Google Cloud AI Hub

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Ajinkya Kadam
Site Reliability Engineer AI Infra
United States Country Flag Icon
United States
Amazon Web Services Company Logo
Amazon Web Services
8 years
Benjamin Greenberg
Senior Software Developer
United Kingdom Country Flag Icon
United Kingdom
Google Company Logo
Google
13 years
Peter Motykowski
Software Development Manager
United States Country Flag Icon
United States
EY Company Logo
EY
21 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Adam F
Chief Software Engineer
United States Country Flag Icon
United States
Lockheed Martin Company Logo
Lockheed Martin
7 years
Rene Dellefont
VP Web Platforms
United States Country Flag Icon
United States
Pharmacy2U Ltd Company Logo
Pharmacy2U Ltd
3 years
Jeremy M
Senior Site Reliability Engineer
United States Country Flag Icon
United States
S&P Global Company Logo
S&P Global
10 years

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7,472
developers actively working with
Google Cloud AI Hub
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Google Cloud AI Hub?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using Google Cloud AI Hub

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Google Cloud AI Hub

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Google Cloud AI Hub

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Google Cloud AI Hub technology?

Set up automated alerts to capture companies as they adopt

Google Cloud AI Hub

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Google Cloud AI Hub

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Google Cloud AI Hub

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Google Cloud AI Hub

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Google Cloud AI Hub?

Google Cloud AI Hub is a cutting-edge technology that falls under the category of Machine Learning Operations (MLOps) Platforms. It serves as a comprehensive repository and collaboration platform designed to streamline the development, sharing, and deployment of artificial intelligence and machine learning assets across organizations. Developed by Google as part of its Cloud AI portfolio, AI Hub addresses the growing need for centralized management of ML resources in enterprise environments where multiple data scientists and ML engineers work together on complex projects.

From a technical perspective, AI Hub functions as a central catalog where teams can discover, share, and deploy various ML components including Jupyter notebooks, TensorFlow modules, Kubeflow pipelines, and pre-trained models. The platform implements robust version control and access management capabilities to ensure proper governance of ML assets. Its architecture is tightly integrated with Google Cloud's broader ecosystem, allowing seamless connections to services like BigQuery, Vertex AI, and Google Kubernetes Engine. What makes AI Hub particularly valuable is its ability to accelerate ML development cycles by enabling reusability of components and reducing duplication of effort across teams.

In terms of market adoption, Google Cloud AI Hub is primarily utilized by medium to large enterprises with established data science teams seeking to scale their ML operations efficiently. Organizations in sectors like financial services, healthcare, and retail have embraced the platform to standardize their ML workflows and improve collaboration. As the field of MLOps continues to evolve, AI Hub is positioned to play an increasingly important role in helping organizations operationalize their AI initiatives and derive business value from machine learning at scale.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Google Cloud AI Hub?

Some of the companies that use Google Cloud AI Hub include Amaze Systems, and many more. You can find a complete list of 2 companies that use Google Cloud AI Hub on Reo.Dev.

Who uses Google Cloud AI Hub? Which industries use Google Cloud AI Hub?

Google Cloud AI Hub is used by a diverse range of organizations across various industries, including "Financial Services", "Healthcare and Life Sciences", "Retail and E-commerce", "Manufacturing", "Technology", and "Telecommunications". For a comprehensive list of all industries utilizing Google Cloud AI Hub, please visit Reo.Dev.

How many customers does

Google Cloud AI Hub
have?
As of now, we have data on
2
companies that use
Google Cloud AI Hub
.

Where is Google Cloud AI Hub adoption highest worldwide? In which countries Google Cloud AI Hub is used the most?

According to usage insights, Google Cloud AI Hub sees the strongest adoption across several major tech hubs. United States leads with 2 companies using it.

How to find companies that use

Google Cloud AI Hub
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Google Cloud AI Hub
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.