Companies that use Microsoft Foundry

Analyzed and validated by Henley Wing Chiu
All machine learning and LLM development Microsoft Foundry

Microsoft Foundry We detected 792 companies using Microsoft Foundry. The most common industry is Software Development (18%) and the most common company size is 11-50 employees (35%). We find new customers by monitoring new entries and modifications to company DNS records. Note: This data tracks companies that use Microsoft Foundry (Azure AI Foundry), which includes usage of Anthropic, OpenAI, and other AI APIs. We also track all companies that use ChatGPT here.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Synthara AG 11–50 Semiconductors CH -6.7% 2026-02-10
ScioTeq 201–500 Defense and Space Manufacturing BE +0.3% 2026-02-09
3D PROJECT 2–10 Machinery Manufacturing FR N/A
3D Spark 11–50 IT Services and IT Consulting DE +53.3%
99acres.com 5,001–10,000 Real Estate IN N/A
A2Display 11–50 Software Development FR N/A
Aakash Educational Services Limited 10,001+ Education IN +14.3%
ABIMÓVEL 2–10 Furniture BR +11.1%
Accops 201–500 Computer and Network Security IN +20%
ACINESGON 11–50 Transportation, Logistics, Supply Chain and Storage ES N/A
acriba Service GmbH 11–50 Health and Human Services DE +30%
Actio Procesos y Tecnología 51–200 IT Services and IT Consulting ES N/A
adacta.ai 2–10 Technology, Information and Internet DE -33.3%
Aditya Vision Limited 1,001–5,000 Retail IN N/A
Adroaldo Tapetes Do Mundo 11–50 Retail BR N/A
Advantech Japan 5,001–10,000 Computer Hardware Manufacturing JP N/A
HR Tech 2–10 Software Development US -3.7%
Affinity Water 1,001–5,000 Utilities GB +9.7%
AFIBEL 201–500 Retail FR -37.6%
Agentic 2–10 Software Development US -18.2%
Showing 1-20 of 792

Market Insights

🏢 Top Industries

Software Development 124 (18%)
IT Services and IT Consulting 74 (11%)
Technology, Information and Internet 33 (5%)
Financial Services 27 (4%)
Hospitals and Health Care 17 (2%)

📏 Company Size Distribution

11-50 employees 256 (35%)
51-200 employees 164 (22%)
2-10 employees 85 (12%)
201-500 employees 78 (11%)
1,001-5,000 employees 53 (7%)

📊 Who usually uses Microsoft Foundry and for what use cases?

Source: Analysis of job postings that mention Microsoft Foundry (using the Bloomberry Jobs API)

Job titles that mention Microsoft Foundry
i
Job Title
Share
AI Engineer
23%
Solutions Architect
15%
Platform Engineer
12%
Data Scientist/ML Engineer
10%
I noticed that Microsoft Foundry buyers span IT leadership, enterprise architects, and AI strategy directors across healthcare, financial services, energy, and logistics sectors. These organizations are investing in AI Centers of Excellence and positioning Foundry as part of broader digital transformation initiatives. Only one leadership role appeared in my dataset, suggesting that purchasing decisions involve cross-functional stakeholders rather than single executives. Their strategic priorities center on building scalable, governed AI platforms that balance innovation with compliance requirements.

The day-to-day users are primarily AI engineers, solutions architects, and platform engineers who design and implement production-grade generative AI solutions. They build RAG applications, multi-agent systems, and conversational AI using Azure OpenAI Service and Copilot Studio. These practitioners integrate Foundry with existing enterprise systems, develop MLOps pipelines, and create reusable templates for organization-wide deployment. Data scientists and software developers also leverage Foundry for model training, fine-tuning, and embedding AI capabilities into business workflows.

These companies aim to move AI from experimentation to production scale. I saw repeated phrases like "accelerate adoption and governance," "enterprise-grade AI solutions," and "from use-case discovery to production deployment." One healthcare organization emphasized ensuring implementations are "secure, reliable, ethically responsible, and compliant with healthcare regulations." Multiple postings referenced building "repeatable patterns" and "reusable assets" to enable rapid AI adoption across business units while maintaining security and compliance standards.

👥 What types of companies use Microsoft Foundry?

Source: Analysis of Linkedin bios of 792 companies that use Microsoft Foundry

I noticed that Microsoft Foundry's customers span an incredibly diverse range of industries, from traditional sectors like government services, healthcare, and manufacturing to modern tech companies building AI platforms. What unites them is not what they sell, but what they need: these are organizations managing complex operations, whether that's Affinity Water delivering 940 million liters of drinking water daily, Aakash Educational Services coordinating 300+ educational centers, or Australia Post handling nationwide logistics. They're companies where operational efficiency directly impacts thousands or millions of end users.

These are predominantly mature, established enterprises. The employee counts tell the story: I saw multiple companies with 1,000+ employees, several with 10,000+, and many describing decades of operation. Air France mentions "Since 1933," while B. Braun references "more than 185 years." Even the smaller employee-count companies often mention substantial customer bases or revenue figures, suggesting established market positions rather than early-stage experimentation.

🔧 What other technologies do Microsoft Foundry customers also use?

Source: Analysis of tech stacks from 792 companies that use Microsoft Foundry

Commonly Paired Technologies
i
Technology
Likelihood
4699.3x
1229.0x
348.1x
236.0x
173.7x
71.2x
I noticed that Microsoft Foundry users are enterprise companies deeply invested in building custom AI solutions on Azure's infrastructure. The overwhelming presence of Azure OpenAI alongside container orchestration tools like Docker Hub tells me these are organizations actively developing and deploying AI-powered applications at scale, not just experimenting with off-the-shelf solutions.

The pairing of Azure OpenAI with Azure Key Vault makes perfect sense for companies handling sensitive data in their AI workflows. They're managing API keys, credentials, and secrets for production AI systems, which suggests they're running customer-facing or business-critical applications rather than internal prototypes. The high correlation with Azure CR (Container Registry) reinforces this, as these companies are containerizing their AI services for reliable deployment and version control.

What's particularly revealing is the presence of Qualtrics and Pathfactory in this stack. These are enterprise marketing and customer experience tools that suggest a sophisticated go-to-market operation. Companies using Microsoft Foundry aren't just building AI, they're enterprise businesses with mature sales and marketing functions. The combination points to organizations that need to gather customer feedback, measure experience metrics, and nurture prospects through complex buying journeys. This is a sales-led motion with long enterprise sales cycles.

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