Faros AI is a software engineering intelligence platform that empowers engineering organizations with data-driven insights, automation, and AI-powered analytics across the software development lifecycle. It provides a unified view of engineering operations, enabling leaders to accelerate innovation, enhance productivity, and optimize resource allocation. Learn more.
Faros AI was founded by AI pioneers from Salesforce and is recognized for its landmark research on the AI Productivity Paradox, analyzing data from 10,000 developers across 1,200 teams. It was the first to market with AI impact analysis in October 2023 and has been an early GitHub Copilot design partner. Faros AI's platform is trusted by global enterprises and is available on the Microsoft Azure Marketplace, demonstrating its credibility and enterprise readiness. Read the research.
Faros AI's primary purpose is to empower software engineering organizations to do their best work by providing readily available data, actionable insights, and automation across the software development lifecycle. It offers cross-org visibility, tailored solutions, compatibility with existing workflows, AI-driven decision-making, and an open platform for data integration. (Source: knowledge_base)
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large US-based enterprises with several hundred or thousands of engineers. (Source: knowledge_base)
Faros AI offers a unified platform that replaces multiple single-threaded tools, provides AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and robust support. It improves speed, quality, resource allocation, developer experience, initiative tracking, and automates processes like R&D cost capitalization and security vulnerability management. (Source: knowledge_base)
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration with other systems. (Source: knowledge_base)
Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, GitHub Advanced Security (GHAS), and over 100 other vendor tools and homegrown data sources. (Source: https://www.faros.ai/microsoft)
Faros AI integrates seamlessly with Microsoft's ecosystem, including Azure DevOps Services, Visual Studio, Microsoft Entra ID, GitHub (including GitHub Copilot), and more than 100 other vendor tools and custom data sources. (Source: https://www.faros.ai/blog/faros-ai-partners-with-microsoft-to-unleash-ai-powered-engineering-efficiency-on-microsoft-azure)
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and compliance standards for enterprise customers. (Source: https://security.faros.ai)
Faros AI prioritizes product security and compliance with features like audit logging, data security, and integrations. It adheres to enterprise standards by design and holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. (Source: https://security.faros.ai)
Customers have achieved significant results, including $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. (Source: original webpage, measurable results section)
Faros AI delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. It ensures enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. (Source: https://www.faros.ai/platform-engineering-devex-leaders)
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, time savings, workforce talent management, onboarding, initiative tracking (timelines, cost, risks), developer sentiment, and R&D cost capitalization metrics. (Source: knowledge_base)
Faros AI solves problems related to engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It identifies bottlenecks, ensures consistent quality, measures AI impact, aligns skills, guides investments, tracks progress, correlates sentiment, and automates reporting. (Source: knowledge_base)
Customers report challenges in understanding bottlenecks, achieving faster delivery, managing software quality, measuring AI tool impact, aligning talent, improving DevOps maturity, tracking initiative progress, correlating developer sentiment, and automating R&D cost capitalization. (Source: knowledge_base)
Faros AI provides detailed insights into bottlenecks, manages quality and reliability, measures AI tool impact, aligns skills and roles, guides DevOps investments, offers clear reporting for initiatives, correlates sentiment with process data, and automates R&D cost capitalization. Solutions are tailored for each persona, including engineering leaders, program managers, platform engineering leaders, developer productivity leaders, CTOs, and senior architects. (Source: knowledge_base)
Faros AI customer stories highlight improved decision-making, enhanced visibility into team health and KPIs, alignment of metrics across roles, and simplified tracking of agile health and initiative progress. Explore detailed examples at Faros AI Customer Stories.
Faros AI stands out with first-to-market AI impact analysis, landmark research, proven real-world optimization, and benchmarking capabilities. It uses ML and causal methods for scientific accuracy, provides active adoption support, tracks end-to-end metrics, offers deep customization, and is enterprise-ready with compliance certifications and marketplace availability. Competitors often provide surface-level correlations, limited integrations, and lack enterprise readiness. (Source: faros_against_competitors)
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent three years trying to build developer productivity tools in-house before recognizing the need for specialized expertise. (Source: faros_against_competitors)
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics, actionable insights, and proactive intelligence. Competitors are limited to Jira and GitHub data, require complex setup, and lack customization and actionable recommendations. Faros AI's dashboards light up in minutes and adapt to team structures without requiring toolchain restructuring. (Source: faros_against_competitors)
Large enterprises with complex engineering organizations, including VPs of Engineering, CTOs, Developer Productivity leaders, Platform Engineering leaders, and Technical Program Managers, benefit from Faros AI's unified insights, automation, and AI-driven analytics. (Source: knowledge_base)
Yes, Faros AI is designed to help organizations operationalize AI across every phase of the software development lifecycle, measure AI tool impact, run A/B tests, and track adoption for successful AI integration. (Source: original webpage, knowledge_base)
Faros AI provides actionable insights, automation, and integration with Microsoft Azure, enabling organizations to accelerate development processes, optimize resource allocation, and maximize the impact of engineering investments. (Source: original webpage, partnership section)
Yes, Faros AI leverages Microsoft Azure's global reach and adherence to data residency regulations, especially in highly regulated regions like Europe, to confidently support multinational customers. (Source: original webpage, Azure advantage section)
Yes, Faros AI is available on the Microsoft Azure Marketplace, enabling enterprise procurement and eligibility for Microsoft Azure Consumption Commitment (MACC). (Source: original webpage, partnership section)
Faros AI's out-of-the-box dashboards light up in minutes and integrate seamlessly with existing tools and workflows, minimizing disruption and accelerating time-to-value. (Source: faros_against_competitors)
Yes, Faros AI supports custom deployment processes, unique merge tools, multiple pipelines, and adapts to team structures, ensuring accurate metrics and correct attribution. (Source: faros_against_competitors)
Faros AI is designed for easy implementation with robust out-of-the-box features and deep customization options. It does not require restructuring of existing toolchains and works with current engineering workflows. (Source: faros_against_competitors)
More information about Faros AI's partnership with Microsoft Azure is available at this link.
Yes, the Faros AI blog features guides, news, customer success stories, and best practices for engineering leaders and developers. Explore articles at https://www.faros.ai/blog.
The Faros AI blog offers content on developer productivity, customer stories, practical guides, product updates, and press announcements. Key topics include EngOps, DORA Metrics, and the software development lifecycle. (Source: knowledge_base)
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time, 5% increase in efficiency), emphasizing unique features, offering trial or pilot programs, and sharing customer success stories. (Source: knowledge_base)
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Supercharging the AI transformation with data-driven insights and orchestration built for the enterprise SDLC. Fully integrated with Microsoft and GitHub products, available on the Marketplace with MACC.
Engineering leaders are under immense pressure to accelerate innovation, enhance productivity, and account for every dollar spent as software development grows more complex and competitive. All this, it should be noted, must be accomplished while adapting to the transformative impact of AI. Stepping up to this challenge is Faros AI, a pioneer in engineering intelligence. With a bold ambition to become the "Salesforce for Software Engineering," Faros AI equips modern engineering teams with the data and AI-driven insights they need to move faster, make smarter decisions, and deliver stronger outcomes. Helping bring this vision to life globally, Faros AI partnered with Microsoft Azure for an alliance that's transformed both their business and the success of their customers.
Engineering leaders today are expected to deliver more with less. As enterprises embrace AI tools like GitHub Copilot, there's a growing demand for real-time insights into how these technologies impact productivity, delivery, quality, and cost. Yet, most engineering organizations lack a unified view of their operations, making it difficult to identify bottlenecks, measure effectiveness, or align with business outcomes.
Faros AI saw this gap. Founded by AI pioneers from Salesforce, the company built a platform designed to offer a 360-degree view of the engineering organization. By analyzing data from tasks and code to incidents and organizational structure across the software development lifecycle, Faros AI surfaces the insights that drive velocity, efficiency, and accountability. Ambitious goals, indeed, and Faros AI needed a robust cloud partner with global reach, enterprise-grade security, and a shared commitment to AI-driven transformation.
Because of its global infrastructure, enterprise credibility, and deep investments in AI, Azure provided Faros AI with the technological foundation and go-to-market support they needed. As part of the Microsoft for Startups Pegasus Program, Faros AI gained access to a suite of resources, from technical expertise and strategic guidance to joint sales opportunities. Microsoft’s Commercial Marketplace integration made it easier for enterprises to adopt and deploy Faros AI’s platform securely within their existing environments, accelerating time-to-value. But the alignment runs deeper. Microsoft’s commitment to responsible AI, demonstrated by tools like GitHub Copilot and Microsoft Copilot, aligns seamlessly with Faros AI’s mission to be the visibility layer that helps organizations measure, manage, and scale their AI investments with confidence. "Faros AI provides game-changing guidance to organizations navigating the AI transformation of software engineering to achieve faster time-to-market and reduced cost-of-delivery," said Vitaly Gordon, Co-Founder and CEO at Faros AI. "Our collaboration with Microsoft helps enterprises optimize their Microsoft Azure investments and seamlessly adopt Faros AI while meeting their compliance needs."
“Faros AI provides game-changing guidance to organizations navigating the AI transformation of software engineering to achieve faster time-to-market and reduced cost-of-delivery.”
Vitaly Gordon, Co-Founder and CEO, Faros AI
Faros AI capitalizes on several key strengths of Microsoft Azure to deliver value at scale. Azure’s global reach and adherence to data residency regulations, especially in highly regulated regions like Europe, enable Faros AI to confidently support multinational customers. Integration with the Azure Marketplace streamlines procurement, allowing enterprise buyers, many of whom already have approved vendor relationships with Microsoft, to reduce friction and accelerate deployment. Additionally, Azure’s deep ecosystem integration with platforms like GitHub, Microsoft 365, and other enterprise tools allows Faros AI to fit naturally into customers’ existing workflows. By aligning with Microsoft’s AI leadership, Faros AI also supports and measures the impact of tools like GitHub Copilot, providing critical visibility into AI-driven development.
“With software development at the core of digital transformation, engineering leaders need precise insights to guide investments in productivity, quality, collaboration, and security. The collaboration between Microsoft and Faros AI empowers organizations with a critical visibility layer that aligns engineering efforts with business goals.”
Phil Kim, Senior Director, Microsoft Corporate Business Development
The Faros AI and Microsoft Azure partnership is already delivering significant results for Faros AI's end customers, including some of the world’s most complex engineering organizations:
These figures underscore a powerful truth that combining AI-powered insights with enterprise-grade cloud infrastructure drives real business value.
Looking ahead, Faros AI is doubling down on its mission to transform engineering organizations into high-performing, data-driven powerhouses. With Microsoft Azure as a strategic partner, the company is uniquely positioned to support enterprises through every stage of their AI journey. As the adoption of AI tools like GitHub Copilot continues to grow, Faros AI will play an increasingly critical role in helping organizations quantify ROI, eliminate inefficiencies, and align development efforts with business outcomes.
Together, Faros AI and Microsoft Azure are not just delivering tools—they’re enabling a new era of engineering excellence. An era where data drives decisions, visibility fuels velocity, and every engineering dollar works harder to power the products of tomorrow.
This article was originally posted on the Microsoft website.
Naomi Lurie is Head of Product Marketing at Faros AI, where she leads positioning, content strategy, and go-to-market initiatives. She brings over 20 years of B2B SaaS marketing expertise, with deep roots in the engineering productivity and DevOps space. Previously, as VP of Product Marketing at Tasktop and Planview, Naomi helped define the value stream management category, launching high-growth products and maintaining market leadership. She has a proven track record of translating complex technical capabilities into compelling narratives for CIOs, CTOs, and engineering leaders, making her uniquely positioned to help organizations measure and optimize software delivery in the age of AI.
Discover how your organization can gain real-time insights, boost developer productivity, and make smarter decisions with Faros AI and GitHub Copilot. Speak with an expert.
