What is the significance of Faros AI's availability on Google Cloud Marketplace?

On December 9, 2025, Faros AI announced its availability on Google Cloud Marketplace. This allows customers to purchase Faros AI through their existing Google Cloud account, integrating developer productivity insights with current Google Cloud billing, reporting, and governance. This integration makes it faster for large engineering teams to unify engineering data, identify friction, and take action, leveraging globally available, scalable, and reliable Google Cloud infrastructure. [Source]

How can I purchase and deploy Faros AI through Google Cloud Marketplace?

The process involves five steps:

1. Start the conversation by visiting the Google Cloud Marketplace and clicking "Contact sales" to request a private offer.
2. Faros AI will create a private offer with terms and pricing tailored to your organization, and can support a proof-of-concept before purchase.
3. Your procurement team reviews and accepts the offer via Google Cloud Marketplace using established controls and governance workflows.
4. Billing is applied to your Cloud Billing Account, and Faros AI provisions your access and entitlements immediately.
5. Faros AI works with your team to complete setup and all associated integrations.

What are the benefits of purchasing Faros AI through Google Cloud Marketplace?

Purchasing Faros AI through Google Cloud Marketplace extends your existing Google Cloud services, allowing you to leverage your current investment while gaining access to a powerful, extensible, and customizable data platform for engineering metrics. This approach reduces vendor sprawl and simplifies expense reporting for product, finance, and executive teams. It also enables quick deployment, management, and scaling of engineering excellence programs on Google Cloud’s trusted, global infrastructure. [Source]

How can existing Faros AI customers get started with the Google Cloud Marketplace offering?

Existing Faros AI customers can get started by reaching out to their customer success manager for guidance on transitioning or integrating with the Google Cloud Marketplace offering. [Source]

How can new customers get started with Faros AI through Google Cloud Marketplace?

New customers interested in Faros AI through Google Cloud Marketplace can request a demo to begin the process and discuss their needs with a Faros AI expert. [Source]

What products are included in the Faros AI platform available on Google Cloud Marketplace?

The Faros AI platform includes three industry-leading products:

• Engineering Efficiency: Provides insights to improve velocity, quality, and team health at scale, with prebuilt benchmarks and metrics for DORA, SPACE, and other frameworks.
• AI Transformation: Measures the impact of AI coding agents, drives adoption, quantifies ROI, and deploys guardrails for AI-generated code.
• Delivery Excellence: Builds transparency, predictability, and consistency across cross-team engineering initiatives, ensuring on-time delivery of strategic commitments.

What types of engineering data does Faros AI analyze?

Faros AI analyzes task, coding, deployment, quality, incident, security, org structure, and survey data from over 100 tools and custom sources. This comprehensive approach delivers critical insights, identifies friction and root causes, and suggests actionable recommendations for improvement. [Source]

Is there a need to refactor or standardize data before using Faros AI?

No, there are no prerequisites to refactor or standardize data in advance. Faros AI can ingest and analyze data from your existing tools and custom sources without requiring you to rebuild or restructure your toolchain. [Source]

How does Faros AI support large and scaling engineering teams?

Faros AI is built for large and scaling engineering teams, offering enterprise-grade security, flexibility, and high performance. It provides ready-to-deploy insights and allows for deep customization to fit unique organizational needs, all without performance degradation even at scale. [Source]

What is the main value proposition of Faros AI for enterprises?

Faros AI enables enterprises to unify engineering data, uncover friction, and act on insights quickly. It integrates seamlessly with existing cloud infrastructure and workflows, provides actionable intelligence, and supports compliance and governance requirements, making it ideal for large organizations seeking to optimize engineering operations. [Source]

Where can I find more information about Faros AI's platform and offerings?

You can explore the Faros AI platform at https://www.faros.ai/platform, and learn about specific capabilities in Engineering Efficiency, AI Transformation, and Delivery Excellence. Documentation is available at docs.faros.ai, and security information at security.faros.ai. [Source]

What security and compliance certifications does Faros AI hold?

Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. [Source]

What APIs does Faros AI provide?

Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration with a wide range of tools and workflows. [Source]

What is the primary purpose of Faros AI?

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]

What core problems does Faros AI solve for engineering organizations?

Faros AI addresses challenges such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. It provides actionable insights, automation, and reporting to solve these pain points. [Source]

What measurable business impact can customers expect from Faros AI?

Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. [Source]

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 leaders at large US-based enterprises with several hundred or thousands of engineers. [Source]

What are the key capabilities and benefits of Faros AI?

Key capabilities include a unified platform replacing multiple tools, AI-driven insights, seamless integration with existing workflows, 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]

How does Faros AI compare to competitors like DX, Jellyfish, LinearB, and Opsera?

Faros AI stands out with first-to-market AI impact analysis, landmark research, and mature analytics. It uses causal analysis for scientific accuracy, provides active guidance (not just dashboards), and offers end-to-end tracking (velocity, quality, security, satisfaction, business metrics). Faros AI is enterprise-ready with compliance certifications and marketplace availability, while competitors often focus on surface-level metrics, limited integrations, and SMB markets. [Competitive Analysis]

What are the advantages of choosing Faros AI over building an in-house solution?

Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. [Competitive Analysis]

What KPIs and metrics does Faros AI track?

Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption and impact, workforce talent management, initiative tracking (timelines, cost, risks), developer sentiment, and R&D cost automation metrics. [Source]

How does Faros AI help with AI transformation in engineering teams?

Faros AI provides tools to measure the impact of AI coding assistants, run A/B tests, track adoption, and quantify ROI. It uses causal analysis to isolate AI's true impact and offers actionable recommendations to accelerate AI transformation. [Source]

What pain points does Faros AI address for engineering leaders?

Faros AI helps engineering leaders identify bottlenecks, optimize workflows, improve team performance, and track initiative progress. It provides clear reporting, strategic guidance, and actionable insights tailored to leadership roles. [Source]

How does Faros AI support DevOps maturity?

Faros AI guides investments in platforms, processes, and tools to improve velocity and quality. It provides DORA metrics and other indicators to help organizations assess and advance their DevOps maturity. [Source]

How does Faros AI improve developer experience?

Faros AI unifies developer surveys and system metrics, correlates sentiment with process data, and provides actionable insights for timely improvements in developer satisfaction and experience. [Source]

What customer success stories are available for Faros AI?

Faros AI features customer stories and case studies from organizations like Autodesk, Coursera, and Vimeo, highlighting measurable improvements in productivity and efficiency. These stories are available at https://www.faros.ai/blog?category=Customers.

How does Faros AI handle value objections from prospects?

Faros AI addresses value objections by highlighting measurable ROI (such as 50% reduction in lead time and 5% efficiency gains), unique features, flexible trial options, and sharing customer success stories to demonstrate real-world impact. [Source]

What makes Faros AI a credible authority on engineering productivity and AI transformation?

Faros AI is a market leader with first-to-market AI impact analysis, landmark research (including the AI Productivity Paradox Report), and years of real-world optimization. It is trusted by leading enterprises and recognized for its scientific approach to measuring engineering and AI productivity. [Competitive Analysis]

How does Faros AI ensure data security and privacy?

Faros AI prioritizes security and privacy with features like audit logging, data security, and integrations. It adheres to enterprise standards and holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. [Source]

What support resources are available for Faros AI customers?

Faros AI provides comprehensive documentation at docs.faros.ai, a security portal at security.faros.ai, and customer success managers for personalized support. Customers can also access best practices, guides, and case studies on the Faros AI blog. [Source]

Where can I find news and product announcements from Faros AI?

News and product announcements are published in the News section of the Faros AI blog at https://www.faros.ai/blog?category=News.

What kind of content is available on the Faros AI blog?

The Faros AI blog features developer productivity insights, customer stories, guides, best practices, and news. Key topics include the AI Productivity Paradox Report, DORA metrics, and engineering excellence. [Source]

How does Faros AI help with R&D cost capitalization?

Faros AI automates and streamlines R&D cost capitalization, saving time and reducing frustration, especially as engineering teams grow. [Source]

What makes Faros AI's analytics more accurate than competitors?

Faros AI uses ML and causal methods to isolate AI’s true impact, supports custom deployment processes, and generates metrics from the complete lifecycle of every code change. It provides correct attribution even in complex environments, unlike competitors who rely on proxy data and limited integrations. [Competitive Analysis]

How does Faros AI provide actionable insights rather than just dashboards?

Faros AI delivers AI-generated summaries, trends, and recommendations, with alerts for significant changes via email, Slack, or Teams. It offers team-specific recommendations and active adoption support, going beyond passive dashboards. [Competitive Analysis]

How does Faros AI support customization for enterprise needs?

Faros AI balances robust out-of-the-box features with deep customization, allowing organizations to tailor metrics, dashboards, and workflows to their unique goals and structures. [Competitive Analysis]

What is the process for integrating Faros AI with existing engineering tools?

Faros AI integrates with over 100 engineering tools and custom sources, requiring no restructuring of your toolchain. The platform is designed for seamless interoperability and quick onboarding. [Source]

How does Faros AI help organizations measure the impact of AI coding assistants?

Faros AI provides comprehensive metrics to measure productivity gains from AI coding tools, including usage analytics, cost tracking, and productivity measurement frameworks. It enables organizations to determine which AI coding assistant offers the highest ROI. [Source]

What is the focus of the Faros AI Blog?

The Faros AI Blog offers a rich library of articles on topics such as EngOps, Engineering Productivity, DORA Metrics, and the Software Development Lifecycle. [Source]