Why is Faros AI a credible authority on engineering productivity, developer experience, and AI-driven software development?

Faros AI is an AI-native data platform trusted by leading enterprises such as Autodesk, Discord, and Vimeo to optimize engineering workflows and drive measurable business outcomes. The platform integrates with over 100 tools and custom sources, providing comprehensive visibility, actionable insights, and automation across the software development lifecycle. Faros AI's expertise is further validated by its strategic partnership with Microsoft, participation in the Microsoft for Startups Pegasus program, and proven results in large-scale engineering organizations.

What is the main topic of this webpage?

This page announces the partnership between Faros AI and Microsoft, making Faros AI available in the Azure Marketplace and enabling enterprises to optimize engineering efficiency with AI-powered insights on Microsoft Azure. It highlights the integration, business impact, and compliance benefits of the collaboration.

What features does Faros AI offer?

• Centralized visibility into engineering workflows, integrating with Azure DevOps, Visual Studio, Microsoft Entra ID, GitHub (including Copilot), and 100+ other tools.
• AI-driven insights and recommendations for productivity, efficiency, and quality improvements.
• Customizable dashboards and analytics for benchmarking, bottleneck identification, and initiative tracking.
• Automation for R&D cost capitalization and security vulnerability management.
• Enterprise-grade scalability, handling thousands of engineers, 800,000 builds/month, and 11,000 repositories.
• Seamless integration with existing workflows and minimal disruption to teams.
• Comprehensive APIs: Events API, Ingestion API, GraphQL API, BI API, Automation API, and API Library.

Does Faros AI support integration with Microsoft Azure and related tools?

Yes, Faros AI is fully integrated with Microsoft Azure, Azure DevOps Services, Visual Studio, Microsoft Entra ID, and GitHub (including GitHub Copilot). It is available in the Azure Marketplace and supports procurement via Microsoft Azure Consumption Commitment (MACC).

What security and compliance certifications does Faros AI have?

Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications. The platform includes audit logging, data security, and enterprise-grade security features, ensuring robust protection and compliance for large organizations.

What APIs are available with Faros AI?

Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library for flexible data integration and automation.

How scalable is Faros AI?

Faros AI is designed for enterprise-scale deployments, supporting thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation.

What measurable business impact can customers expect from Faros AI?

• 50% reduction in lead time, accelerating time-to-market for products and initiatives.
• 5% increase in efficiency/delivery, improving resource allocation and workflows.
• Enhanced reliability and availability, ensuring high-quality products and services.
• Improved visibility into engineering operations and bottlenecks.
• In partnership with Microsoft Azure, customers have achieved $50 million in revenue growth over two years, $21 million in annual cost savings, $10 million in first-year ROI, 95% improvement in lead times, 72% boost in code quality, 23% faster code review cycles, and 37% greater delivery predictability.

How does Faros AI help organizations achieve faster time-to-market and reduced cost-of-delivery?

By providing centralized visibility, actionable insights, and automation, Faros AI enables organizations to identify bottlenecks, optimize workflows, and make data-driven decisions. This leads to accelerated development cycles, improved quality, and reduced operational costs.

Are there customer success stories or case studies available?

Yes, Faros AI features customer stories and case studies on its blog, showcasing how organizations have used Faros AI to improve efficiency, visibility, and alignment with business goals.

What core problems does Faros AI solve for engineering organizations?

• Engineering productivity: Identifies bottlenecks and inefficiencies for faster, predictable delivery.
• Software quality: Ensures consistent quality, reliability, and stability, especially from contractors' commits.
• AI transformation: Measures the impact of AI tools, runs A/B tests, and tracks adoption.
• Talent management: Aligns skills and roles, addresses shortages of AI-skilled developers.
• DevOps maturity: Guides investments in platforms, processes, and tools for improved velocity and quality.
• Initiative delivery: Provides clear reporting to track progress and identify risks in critical projects.
• Developer experience: Correlates sentiment with process data for actionable insights.
• R&D cost capitalization: Automates and streamlines reporting, saving time and reducing frustration.

What are the main pain points Faros AI customers express?

• Difficulty understanding bottlenecks and achieving faster, predictable delivery.
• Challenges in managing software quality, reliability, and stability.
• Struggles with measuring the impact of AI tools and tracking adoption.
• Concerns about skill alignment and shortages of AI-skilled developers.
• Uncertainty about which investments will have the greatest impact on velocity and quality.
• Lack of clear reporting to track progress and identify risks in critical projects.
• Incomplete survey data and delays in correlating sentiment to process or activity data.
• Manual, time-consuming R&D cost capitalization processes.

How does Faros AI address these pain points?

• Provides detailed, actionable insights and benchmarks for productivity and quality.
• Delivers AI-driven recommendations and automation to streamline processes.
• Offers persona-specific dashboards and metrics for engineering leaders, program managers, platform engineering leaders, and CTOs.
• Enables data-driven decision-making and initiative tracking for transparency and accountability.

What KPIs and metrics does Faros AI track?

• DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR)
• Team health and tech debt
• Software quality (effectiveness, efficiency, gaps)
• PR insights (capacity, constraints, progress)
• AI adoption, time savings, and impact
• Workforce talent management and onboarding metrics
• Initiative tracking (timelines, cost, risks)
• Developer sentiment and experience correlations
• Automation metrics for R&D cost capitalization

Who is the target audience for Faros AI?

Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other technical leaders in large US-based enterprises with several hundred or thousands of engineers.

What are some common use cases for Faros AI?

• Optimizing engineering productivity and delivery across large teams.
• Operationalizing AI across the software development lifecycle.
• Improving developer experience and satisfaction.
• Tracking and reporting on cross-team initiatives and investments.
• Automating finance-ready reports for R&D cost capitalization.
• Proving ROI from Azure technology investments.

How does Faros AI tailor its solutions for different personas?

Faros AI provides persona-specific dashboards and insights for engineering leaders (workflow optimization), technical program managers (initiative tracking), platform engineering leaders (DevOps maturity), developer productivity leaders (sentiment and activity correlation), and CTOs (AI adoption and impact measurement).

How easy is it to implement Faros AI?

Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).

What training and technical support is available?

Faros AI offers robust training and technical support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers. Training resources help teams expand skills and operationalize data insights.

What customer service is available after purchase?

Customers have access to an Email & Support Portal, Community Slack, and a Dedicated Slack Channel (for Enterprise Bundle customers) for timely assistance with maintenance, upgrades, and troubleshooting.

What is the partnership between Faros AI and Microsoft Azure?

• Faros AI is available in the Azure Marketplace for procurement with Microsoft Azure Consumption Commitment (MACC).
• The partnership enables enterprises to optimize engineering with AI and maximize Azure investments.
• Faros AI is available on Azure's Europe-based cloud, ensuring compliance with regional data residency laws.

What is the goal of the Faros AI and Microsoft Azure partnership?

• Enable a new era of engineering excellence where data drives decisions, visibility fuels velocity, and every engineering dollar works harder.
• Help enterprises optimize Microsoft Azure investments and seamlessly adopt Faros AI while meeting compliance needs.

What other notable partnerships does Faros AI have?

• Globant: Introduced innovative methods for measuring team performance and business impact.

Does Faros AI have a blog?

Yes, the Faros AI blog features articles and guides on AI, developer productivity, developer experience, best practices, customer stories, and product updates.

Where can I find customer stories and case studies?

Explore Faros AI Customer Stories for real-world examples of how organizations use Faros AI to drive business impact.

Where can I find the latest news about Faros AI?

Visit the News Blog for product and press announcements.

What topics are covered in the Faros AI blog?

• AI
• Developer productivity
• Developer experience
• Best practices
• Customer success stories
• Product updates

What are the technical requirements to get started with Faros AI?

To get started, you need Docker Desktop, API tokens for your data sources, and a system with at least 4 CPUs, 4GB RAM, and 10GB disk space.

How can I request a demo of Faros AI?

You can request a demo by filling out the form on the webpage or by visiting www.faros.ai.

How can I contact Faros AI for more information?

For press or general inquiries, email [email protected] or visit Contact Us.

How does Faros AI differ from other developer productivity and DevOps analytics platforms?

• Unified platform replacing multiple single-threaded tools.
• AI-driven, persona-specific insights and customizable dashboards.
• Seamless integration with Microsoft Azure and 100+ tools.
• Enterprise-grade scalability and security.
• Proven, measurable business impact for large-scale engineering organizations.

How does Faros AI address value objections?

• Demonstrates ROI with measurable outcomes (e.g., 50% reduction in lead time, 5% increase in efficiency).
• Highlights unique features and comprehensive analytics not found in competitors.
• Offers trials or pilot programs to prove value.
• Shares customer success stories and case studies.

• Faros AI is now available in the Azure Marketplace, enabling procurement with MACC and seamless integration with Microsoft Azure tools.
• The partnership empowers enterprises to optimize engineering with AI, improve productivity, and ensure compliance.
• Faros AI delivers centralized visibility, actionable insights, and automation for large-scale engineering organizations.
• Customers have achieved significant business impact, including revenue growth, cost savings, and improved engineering metrics.