What's holding back AI's productivity boost? |
San Mateo, Calif. — 19 February, 2025 — Faros AI, the engineering hub for the results-driven enterprise, today announced a collaboration with Microsoft to deliver its AI-powered platform for optimizing engineering workflows on Azure. This strategic move enables enterprises worldwide to improve engineering productivity and transition to AI-augmented software development while taking advantage of the trusted Azure cloud platform.
Amidst the rapid adoption of AI-assisted development, engineering leaders face mounting pressure to accelerate innovation while optimizing resources. Faros AI empowers these leaders with a centralized data hub to inform critical decisions related to productivity, efficiency, staffing, and AI adoption.
Faros AI's availability in Azure Marketplace simplifies procurement, allowing customers to use their existing Azure credits (Microsoft Azure Consumption Commitment or MACC). Additionally, Faros AI is available on Azure's Europe-based cloud, ensuring compliance with regional data residency laws.
"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."
"With software development at the core of digital transformation, engineering leaders need precise insights to guide investments in productivity, quality, collaboration, and security," said Phil Kim, Senior Director, Microsoft Corporate Business Development. "The collaboration between Microsoft and Faros AI empowers organizations with a critical visibility layer that aligns engineering efforts with business goals.”
Faros AI is a proud participant in the Microsoft for Startups Pegasus program, a selective initiative designed to bring innovative enterprise-ready technology to the Microsoft ecosystem. Through this program, Faros AI has gained access to premium Microsoft resources, expert technical mentorship, and robust go-to-market strategies.
Request a demo of Faros AI today and unlock the power of AI-driven engineering efficiency.
Learn more about improving engineering productivity and the developer experience on the Faros AI page on the Azure Marketplace.
Faros AI is an AI-native data platform for optimizing engineering workflows that helps companies like Autodesk, Discord, and Vimeo become data-driven when it comes to engineering productivity, delivery, outcomes, budgets, and talent. With no prerequisites to refactor or standardize data in advance, Faros AI analyzes task, coding, deployment, quality, incident, security, org structure, and survey data from 100+ tools and custom sources. It delivers critical insights, identifies friction and root cause, and suggests team-tailored recommendations to improve engineering productivity and the developer experience. Faros AI provides the most intelligent and comprehensive solution for understanding the impact of AI technology on the efficiency and effectiveness of large engineering teams.
Contact: [email protected]
Naomi Lurie
For more information, visit www.faros.ai
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.
Faros AI has partnered with Microsoft to deliver its AI-powered platform for optimizing engineering workflows on Azure. This collaboration enables enterprises to improve engineering productivity and transition to AI-augmented software development. Faros AI is available in the Azure Marketplace, allowing customers to use their existing Microsoft Azure Consumption Commitment (MACC) credits for procurement. Source
Faros AI integrates seamlessly with Microsoft’s ecosystem, including Azure DevOps Services, Visual Studio, Microsoft Entra ID, GitHub (including GitHub Copilot), and over 100 other vendor tools and homegrown data sources. This deep integration enables centralized visibility into engineering workflows and supports organizations in benchmarking performance and unlocking the full potential of AI technology. Source
The partnership has delivered significant measurable results for customers, including $50 million in revenue growth over two years through on-time product delivery, $21 million in annual cost savings via improved engineering efficiency, $10 million in first-year ROI from accelerated development velocity, 95% improvement in lead times, a 72% boost in code quality, 23% faster code review cycles, and 37% greater delivery predictability. Source
The partnership aims to enable a new era of engineering excellence where data drives decisions, visibility fuels velocity, and every engineering dollar works harder to power the products of tomorrow. Source
You can find more information about Faros AI's partnership with Microsoft Azure at this link.
Yes, Faros AI is available in the Azure Marketplace, making it easy for enterprises to procure the platform using their existing Azure credits (MACC). Source
Yes, Faros AI is available on Azure's Europe-based cloud, ensuring compliance with regional data residency laws. Source
Large enterprises seeking to optimize engineering productivity, accelerate AI adoption, and ensure compliance benefit most from Faros AI's Azure integration. Customers include Autodesk, Discord, and Vimeo. Source
Faros AI helps organizations achieve faster time-to-market, reduced cost-of-delivery, and seamless adoption of AI-driven engineering efficiency, maximizing the impact of their Azure investments. Source
The article discusses how Faros AI supercharges AI transformation with data-driven insights and orchestration built for the enterprise SDLC, highlighting full integration with Microsoft and GitHub products and availability on the Marketplace with MACC. Source
Faros AI is an AI-native data platform for optimizing engineering workflows. It helps companies become data-driven in engineering productivity, delivery, outcomes, budgets, and talent by analyzing data from 100+ tools and custom sources. Faros AI delivers critical insights, identifies friction and root causes, and suggests team-tailored recommendations to improve productivity and developer experience. Source
Faros AI offers a unified platform that replaces multiple single-threaded tools, provides AI-driven insights, seamless integration with existing tools, proven results for customers, engineering optimization, unified developer experience metrics, initiative tracking, and automation for processes like R&D cost capitalization and security vulnerability management. Source
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
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. Source
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 multiple certifications. Source
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
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer experience, and R&D cost capitalization metrics. Source
Faros AI provides robust tools for measuring the impact of AI tools, running A/B tests, and tracking adoption, enabling organizations to successfully integrate AI into their software development lifecycle. Source
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. Source
Faros AI solves problems such as engineering productivity bottlenecks, software quality issues, AI transformation challenges, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. Source
Faros AI addresses pain points including difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, skill alignment, DevOps maturity uncertainty, lack of initiative tracking, incomplete developer experience data, and manual R&D cost capitalization. Source
Faros AI provides detailed insights into bottlenecks and inefficiencies, enabling faster and more predictable delivery through actionable intelligence and benchmarking. Source
Faros AI manages software quality, reliability, and stability, especially from contractors' commits, ensuring consistent software performance through targeted metrics and insights. Source
Faros AI aligns skills and roles, addresses shortages of AI-skilled developers, and enhances team performance with workforce talent management and onboarding metrics. Source
Faros AI guides investments in platforms, processes, and tools to improve velocity and quality, using strategic insights and DORA metrics. Source
Faros AI provides clear reporting to track progress and identify risks in critical projects, ensuring transparency and accountability for initiative delivery. Source
Faros AI unifies surveys and metrics, correlates sentiment with process data, and provides actionable insights for timely improvements in developer experience. Source
Faros AI streamlines and automates R&D cost capitalization, saving time and reducing frustration with finance-ready reports. Source
Faros AI stands out by offering mature AI impact analysis, landmark research, causal analysis for true ROI, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide surface-level correlations, limited metrics, passive dashboards, and lack enterprise readiness. Source
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, 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 measurement tools in-house before recognizing the need for specialized expertise. Source
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. Source
Faros AI is a market leader, first to launch AI impact analysis, and has published landmark research based on data from 10,000 developers across 1,200 teams. It has two years of real-world optimization and was an early GitHub design partner for Copilot. Source
Faros AI delivers team-specific recommendations, gamification, power user identification, and automated executive summaries, while competitors typically offer passive dashboards and static reports. Source
Faros AI offers robust out-of-the-box features plus deep customization, balancing enterprise-grade flexibility with ease of use. It scales to thousands of engineers and integrates with over 100 tools. Source
Faros AI provides in-workflow insights, direct integration with Copilot Chat for PRs and tasks, and ready-to-go developer surveys with AI-powered summarization. Source
Faros AI targets VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large US-based enterprises with several hundred or thousands of engineers. Source
Customers have used Faros AI metrics to make informed decisions on engineering allocation and investment, improve efficiency, and manage team health. Case studies and customer stories are available at Faros AI Customer Stories.
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights, Technical Program Managers receive clear reporting tools, Platform Engineering Leaders get strategic guidance, Developer Productivity Leaders benefit from sentiment and activity data correlation, and CTOs/Senior Architects can measure AI coding assistant impact. Source
Customers can expect a 50% reduction in lead time, 5% increase in efficiency/delivery, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source
Faros AI addresses value objections by highlighting measurable ROI (such as 50% reduction in lead time), unique features, flexible options like trials, and sharing customer success stories to demonstrate significant results. Source
You can read more blog posts from Faros AI at https://www.faros.ai/blog.
The Faros AI blog features content on developer productivity, customer stories, guides, news, and research such as the AI Productivity Paradox Report 2025. Source
Key topics include guides, news, customer stories, product updates, security, careers, and developer experience. Source
Yes, Faros AI has a blog featuring articles and guides on AI, developer productivity, and developer experience. Source