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Microsoft Foundry

byMicrosoft
in
4.3
Market Presence: Cloud AI Developer Services (Transitioning to AI Coding Agents and Cloud-Native Application Platforms), AI Application Development Platforms

Overview

Review Summary
AI Generated Using Real User Reviews

Users appreciate Microsoft Foundry for its seamless integration with the Microsoft ecosystem, robust AI tools, and u ...

Product Information on Microsoft Foundry

Updated 17th December 2025

What is Microsoft Foundry?

Microsoft Foundry is a software designed to assist organizations in building, deploying, and managing artificial intelligence solutions at scale. This software supports the creation of custom AI models and integrates with existing data sources and business processes. It offers tools for rapid experimentation, model training, and operationalization, enabling organizations to streamline the development of AI-based applications. Microsoft Foundry addresses challenges such as data integration, model governance, and collaboration among development teams, helping businesses accelerate AI adoption while maintaining control and compliance. The software is designed to be used by data scientists, machine learning engineers, and business analysts working on enterprise-level machine learning projects.

Microsoft Foundry Pricing

Microsoft Foundry software uses a usage-based pricing model that typically charges based on the amount of resources consumed, such as compute, storage, and API calls. The software may offer different pricing tiers or plans depending on the required features, scale, and integration capabilities, allowing for flexibility as usage changes. Separate support or additional service fees may apply depending on selected options.

Overall experience with Microsoft Foundry

It Security Engineer
<50M USD, Hardware
FAVORABLE

“Fast analytics and predictive dashboards, but custom integrations require effort”

4.0
May 28, 2026
Our facility has been utilizing Microsoft Foundry to aggregate our complex industrial sensor streams and handle deep equipment monitoring across our production floor. The platform works incredibly well for parsing data perception feeds, giving us a unified dashboard to spot anomalies before they escalate. It provides a solid foundation for managing heavy machinery logs, though getting the initial data ingestion pipelines configured with some of our older system integration modules took notable coordination.
SENIOR SOFTWARE ENGINEER
30B + USD, Manufacturing
CRITICAL

“Recent Foundry Updates in Azure AI Studio Revealed Bugs and Terraform Gaps”

3.0
Jan 16, 2026
The evolution of Azure AI studio has become one of our main products for the internal customers for building AI applications. Model deployment and microsoft offering in terms of compliance allowed us to offer this resource for wide variety of applications. Problems with "new" foundry, stability of the SDKs and observability limitations we found as main drawbacks.

About Company

Company Description

Updated 11th August 2023

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Microsoft Foundry Reviews and Ratings

4.3

(122 Ratings)

Rating Distribution

5 Star
51%
4 Star
40%
3 Star
8%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.4

Service & Support

4.3

Product Capabilities

4.6

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  • It Security Engineer
    <50M USD
    Hardware
    Review Source

    Fast analytics and predictive dashboards, but custom integrations require effort

    4.0
    May 28, 2026
    Our facility has been utilizing Microsoft Foundry to aggregate our complex industrial sensor streams and handle deep equipment monitoring across our production floor. The platform works incredibly well for parsing data perception feeds, giving us a unified dashboard to spot anomalies before they escalate. It provides a solid foundation for managing heavy machinery logs, though getting the initial data ingestion pipelines configured with some of our older system integration modules took notable coordination.
  • BUSINESS INTELLIGENCE ANALYST
    Gov't/PS/Ed
    Education
    Review Source

    Unified Platform Streamlines Data Integrity But Requires Cost Management Oversight

    4.0
    Dec 12, 2025
    My experience with Microsoft Foundry has been largely positive. I primarily use it in conjunction with Azure Databricks, which has been a game changer in being able to handle heavy data prep and feature engineering. There is a bit of a learning curve for the interace, but being able to integrate feature stores in the foundry environment and the rest of our Azure data stack has expedited our analytical maturity for sure.
  • IT ASSOCIATE
    <50M USD
    Finance (non-banking)
    Review Source

    Centralized model management improves efficiency but billing and branding confusing

    5.0
    May 19, 2026
    Moving away from fragmented APIs to Microsoft Foundry has completely streamlined our platform engineering loops. Having our entire fleet of models (11,000+ from OpenAI, Anthropic, DeepSeeks, and Meta), agent workflows, and security guardrails centralized under a single Azure resource provider workspace makes managing infrastructure incredibly clean.
  • Manager, Project Management
    50M-1B USD
    IT Services
    Review Source

    A Production Ready AI Platform With Strong Governance And Scalability

    5.0
    Jan 10, 2026
    Microsoft Foundry has delivered a very reliable and structured experience for building and managing AI workflows. What worked well for me was the smooth integration with Azure ecosystem, strong model evaluation capabilities and clear focus on security and governance. The Platform feels production-ready rather than experimental. While the initial learning curve can be slightly steep for new users new to Azure, the overall stability, flexibility, and scalability make it a strong solution for real world AI use cases.
  • Manager
    1B-10B USD
    Miscellaneous
    Review Source

    Microsoft Foundry Simplifies Data Extraction With Multiple AI Model Integrations

    5.0
    Jan 29, 2026
    The amount of AI models to choose from for your business is massive, I so far, have found this to be extremely useful and this wide variety of options to choose from is simply a winner in any environment you would find yourself. I like the outlay of Microsoft Foundry, it deems to be extremely user-friendly, the robust RAG gives you the option to connect to any data source so easily, data extraction takes seconds - saves you loads of time
...
Showing Result 1-5 of 167

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Reviewer Insights for: Microsoft Foundry

Microsoft Foundry Likes & Dislikes

Like

The data perception and analytics speed is outstanding, allowing our engineering teams to watch complex asset trends update in near real-time without sluggishness. It handles system integration across different cloud databases and local storage layers smoothly, keeping our operational histories highly organized. The predictive dashboard layouts are easy to read, helping plant managers quickly evaluate daily asset health without needing deep technical data training.

Like

Unified AI resource to manage models, endpoints and deploy applications. Model catalog is great and you have variety for choosing the best model that fits into each AI use case and control costs. Improving constantly the agents deployments and integration with OpenAI libraries when deploying a gateway.

Like

The strongest point for me, and there are a host of things to explore, is the integration with Azure Databricks for feature store workflow. I have been able to build feature tables and Delta live tables in Databricks, and Foundry does relatively well with navigating them. In my own process, I had to move around from platform to platform a great deal, so I appreciate Foundry's ability to provide one unified place for data integrity and experimentation.

Dislike

The initial configuration phase for linking non-standard, custom factory machinery to the platform can feel a bit overly complex and requires heavy manual scripting. While the core monitoring features are excellent, building highly specialized tabular reports outside their built-in templates can be somewhat rigid. The overall volume of continuous alerts during the baseline setup phase can be a bit loud, requiring a long process of fine-tuning filter rules to prevent fatigue.

Dislike

Stability of the resource, Microsoft recently launched a new foundry with tons of bugs but with new features that legacy foundry was not offering. Since many features are very recent we are lacking the terraform provider implementation of some resources. Forces you to have App Insights (with high cost bill) to have a complete observability of the resource.

Dislike

I'm not directly involved in these conversations, but it has been impressed upon me that cost management is imperative. We often have to consult with our tenant managers to ensure that spinning up resources in Databricks and Foundry is tracked with disciplined tagging or it can result in unexpected costs. It has certainly made me more diligent in documentation and the process of our internal workflow.