AI Infrastructure Users List

Q: What is an AI Infrastructure customers list?

An AI Infrastructure customers list is a verified B2B database of organizations deploying generative AI models, vector databases, LLM orchestration frameworks, and MLOps compute stacks — paired with direct contacts for Chief AI Officers, VP Data Science, Lead ML Engineers, and Data Architects.

Q: How many companies use AI Infrastructure platforms?

Our verified AI Infrastructure database tracks 140,000+ companies globally running OpenAI Enterprise, Anthropic Claude, Pinecone Vector DB, LangChain, Hugging Face, Cohere, Anyscale, Scale AI, Weights & Biases, and MLflow.

Q: Which AI platforms and frameworks are covered?

We cover all major commercial and open-source AI infrastructure platforms: OpenAI, Anthropic, Pinecone, LangChain, Hugging Face, Cohere, Anyscale (Ray), Scale AI, Weights & Biases, MLflow, and 15+ additional AI tools.

Q: Who owns AI infrastructure purchasing decisions?

Strategic AI adoption is led by Chief AI Officers (CAIO), Chief Technology Officers (CTO), and VP of Data Science. Technical evaluation is owned by Lead ML Engineers, Head of AI Infrastructure, and Chief Data Architects.

Q: What data fields are included in each AI contact record?

Every record includes verified work email, direct dial phone, LinkedIn URL, job title, seniority, department, company name, AI stack, cloud provider, industry, annual revenue, employee count, and HQ address. 50+ fields total.

Q: Can I get a free sample AI Infrastructure customer list before ordering?

Yes. Share your target ICP — AI platform, industry, company size, geography, and job title — and we will compile a customized sample list within 60 minutes. No commitment required.

List of Companies Using AI Infrastructure

Verified emails and direct dials for Chief AI Officers, VP Data Science, Lead ML Engineers, and Data Architects at companies running OpenAI, Anthropic, Pinecone, LangChain, Hugging Face and top AI stacks. Filtered to your target market, with a free sample to start.

50+ data fields to choose from

GDPR & CCPA compliant

Segment by AI stack, LLM model, industry, company size & location

Request sample list →

+50

AI Infrastructure install-base snapshot

Freshly verified database

No. of companies tracked

140,000+

No. of contacts available

980,000+

Target Buying Center

Chief AI Officer, VP Data Science, Lead ML Engineer, Data Architect

GDPRCCPACAN-SPAM

99% Deliverability✓ Triple-Verified

Trusted by leading B2B & enterprise teams

70M+ Installed Base Contacts

99%+ Deliverability Rate

180+ Countries Covered

GDPR · CAN-SPAM · CCPA Compliant

Sample Enterprise Accounts

Sample Companies Running AI Infrastructure Tools

Preview a selection of verified enterprise accounts operating AI model stacks, vector databases, and MLOps compute.

Company	Country	Industry	Employees	Revenue	ai-infrastructure product

Microsoft	United States	Technology	220,000+	$211B	OpenAI Enterprise
Salesforce	United States	Enterprise SaaS	79,000+	$34B	Anthropic Claude
Shopify	Canada	E-Commerce Platforms	11,000+	$7B	Pinecone Vector DB
Uber	United States	Technology	32,000+	$37B	Anyscale / Ray
Pfizer	United States	Pharmaceuticals	83,000+	$100B	Hugging Face
Klarna	Sweden	Fintech & Payments	5,000+	$2B	LangChain
Oracle	United States	Cloud & Database	164,000+	$50B	Cohere AI
Toyota	Japan	Automotive & Robotics	370,000+	$285B	Scale AI
Stripe	United States	Financial Infrastructure	8,000+	$14B	OpenAI Enterprise
Databricks	United States	Data & AI	5,500+	$1.6B	MLflow
Snowflake	United States	Cloud Data Warehouse	7,000+	$2.8B	Mistral AI
Canva	Australia	Design & Software	4,000+	$1.7B	Runway AI
Notion	United States	Productivity Software	1,200+	$300M	Qdrant Vector DB

Partial sample — illustrative records, not a live data export. Full list is built fresh to your ICP.Get the full ai-infrastructure customers list →

Global Intelligence

Where AI infrastructure buyers are based

Reach AI engineering buyers across North America, Europe, APAC, and LATAM — localized with regional compliance.

United States85,000+

United Kingdom14,000+

Germany11,000+

Canada9,500+

Australia7,200+

France6,800+

India5,500+

Japan4,800+

Supported Platforms

AI platforms and frameworks we build lists for

Explore specific AI infrastructure platforms to view dedicated customer lists and decision-maker contact details.

Anthropic Claude

Anyscale Ray Cloud

BentoML Model Serving

Fireworks AI Platform

Luma AI Dream Machine

Marqo AI Vector Database

Milvus Vector DB

Mistral AI Models

MLflow MLOps

Modal Labs Serverless AI

NVIDIA Triton Server

Ollama Local LLM

OpenAI Enterprise

Pika Labs Video Generator

Runway AI Video Platform

Scale AI Data Annotation

Suno Audio AI Engine

TensorRT-LLM Optimization

Together AI Inference

Unstructured.io Data Pipeline

vLLM Inference Engine

Weaviate Vector DB

Weights & Biases MLOps

50+ Verified Attributes

Data Fields Included in your AI infrastructure users list

Every contact is delivered with 50+ intelligence points ready for CRM import and multichannel prospecting.

Reachable contact lines

✓ Verified email

✓ Direct dial

✓ Mobile number

✓ LinkedIn URL

✓ Personal email

✓ Job title

Buyer & budget mapping

✓ Department

✓ Seniority level

✓ Budget authority

✓ Role function

✓ Reporting line

✓ Decision stage

Company profile

✓ Company name

✓ Industry

✓ Employee count

✓ Annual revenue

✓ HQ address

✓ Geo location

✓ Locations

✓ Ownership

AI stack signals

✓ LLM Model in use

✓ Vector DB

✓ MLOps Framework

✓ GPU Cloud Provider

✓ AI Engineering Team Size

✓ Compute Spending Tier

Custom Segmentation

Build your AI infrastructure list

An LLM security vendor and a GPU compute cloud both want AI infrastructure accounts — but they need completely different segments.

AI stack & category

OpenAI EnterpriseAnthropic ClaudePinecone Vector DBLangChainHugging FaceCohere AIVector DBLLM OrchestrationMLOpsGPU Compute

Title & seniority

Chief AI Officer (CAIO)VP Data ScienceHead of AI / MLLead ML EngineerChief Data ArchitectDirector of MLOpsCTOVP Engineering

Industry

TechnologyFinancial ServicesHealthcare & BiotechE-CommerceAutomotive & RoboticsConsultingTelecom

Geography & compliance

North AmericaEMEAAPACLATAMAI Team SizeRevenue bandGDPR compliantSOC 2 / ISO 27001

Dr. Evelyn Vance

VP of Artificial Intelligence & ML

Verified

Company

Global AI Systems

AI Stack

OpenAI Enterprise & Pinecone

Verified emaile.v***@globalaisystems.com

Direct dial+1 (415) ***-****

LinkedIn/in/evelyn-v****

DepartmentAI Research & Engineering

IndustryEnterprise Software

CountryUnited States

HQ locationSan Francisco, CA

Annual revenue$450M revenue

Employees2,400

ComplianceFully Compliant (Opt-In)

Request a Sample Data & Quote

Tell us your target market — AI platform, industry, company size — and we’ll build the full list around it.

First Name

Last Name

Work Email

Company

Requirements in Detail

GDPR COMPLIANTCCPA COMPLIANTSMTP VERIFIED

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Value Proposition

Why teams selling into AI engineering trust this list

🎯

Target active AI model and vector stack deployments

We focus your list on companies actively deploying LLMs, vector search, and AI compute — the ones with active projects and dedicated budget — so your outreach hits active engineering teams.

👥

Reach multi-threaded AI leadership and engineering leads

An AI infrastructure deal touches the ML engineer building the application, the Head of Data Science evaluating models, and the CAIO or CTO who owns budget. You get all three.

🛡️

Triple-verified B2B contact data that protects sender reputation

Every contact is verified by a human against live role and deployment data before delivery — ensuring 99% deliverability, low bounce rates, and high sales velocity.

Frequently Asked Questions