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 enables customers to purchase Faros AI through their existing Google Cloud account, integrating developer productivity insights with trusted billing, reporting, and governance. The integration accelerates the process for large engineering teams to unify data, identify friction, and take action using Google Cloud's scalable 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 creates a private offer tailored to your organization, including terms and pricing. A proof-of-concept is available before purchase.
3. Your procurement team reviews and approves the offer via Google Cloud Marketplace.
4. Billing is applied to your Cloud Billing Account, and Faros AI provisions access and entitlements immediately.
5. Faros AI works with your team to complete setup and integrations.

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

Purchasing Faros AI through Google Cloud Marketplace allows customers to leverage existing Google Cloud services, reduce vendor sprawl, and simplify expense reporting. It provides access to Faros AI's extensible data platform for engineering metrics, enabling quick deployment, management, and scaling of engineering excellence programs on Google Cloud's trusted 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 to 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 explore the platform's capabilities. Source

Where can I find Faros AI on the Google Cloud Marketplace?

Faros AI is available on the Google Cloud Marketplace. You can find the listing for Faros AI Engineering Productivity Intelligence at the Google Cloud Marketplace product page. Source

What resources are available to explore Faros AI's offerings?

To explore Faros AI's offerings, you can visit the Google Cloud Marketplace product page, learn about the Faros AI platform, discover 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 products are included in the Faros AI platform?

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, adoption, ROI, and deploys guardrails for AI-generated code.
• Delivery Excellence: Builds transparency and consistency across cross-team initiatives, keeping teams focused and stakeholders informed.

How does Faros AI help engineering organizations achieve excellence?

Faros AI enables engineering organizations to achieve excellence by providing actionable insights, measuring and accelerating AI's impact, and delivering consistently on innovation roadmaps. It analyzes data from 100+ tools and custom sources, identifies friction and root causes, and suggests recommendations for improvement. Source

What types of 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, enabling comprehensive visibility into engineering operations. Source

Do I need to refactor or standardize my data before using Faros AI?

No, Faros AI does not require any prerequisites to refactor or standardize data in advance. The platform is designed to work with your existing data sources and toolchains. 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 without requiring teams to rebuild from scratch. 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 measurable business impact can customers expect from Faros AI?

Customers can expect significant business impacts, including a 50% reduction in lead time, a 5% increase in efficiency/delivery, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source

What performance metrics does Faros AI deliver?

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

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 provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and extensibility. Source

Who is the target audience for Faros AI?

The target audience for Faros AI includes VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically at large US-based enterprises with several hundred or thousands of engineers. Source

What core problems does Faros AI solve?

Faros AI solves core problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. Source

What pain points do Faros AI customers commonly face?

Faros AI customers commonly face pain points including difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, skill alignment challenges, uncertainty in DevOps investments, lack of clear reporting for initiatives, incomplete developer experience data, and manual R&D cost capitalization processes. Source

How does Faros AI address these pain points?

Faros AI addresses these pain points by providing detailed insights into bottlenecks, managing software quality and reliability, measuring AI tool impact, aligning skills and roles, guiding DevOps investments, offering clear initiative reporting, correlating developer sentiment with process data, and automating R&D cost capitalization. Source

What KPIs and metrics does Faros AI use to track engineering productivity?

Faros AI tracks engineering productivity using DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, and tech debt. Source

What metrics are used to measure software quality in Faros AI?

Metrics for software quality in Faros AI include effectiveness, efficiency, gaps, and PR insights such as capacity, constraints, and progress. Source

How does Faros AI measure the impact of AI transformation?

Faros AI measures AI transformation using metrics for adoption, time savings, and impact, helping organizations track the success of AI tools and initiatives. Source

What metrics does Faros AI use for talent management?

Faros AI uses workforce talent management and onboarding metrics to help align skills and roles within engineering organizations. Source

How does Faros AI support DevOps maturity?

Faros AI supports DevOps maturity by guiding investments in platforms, processes, and tools, and tracking relevant metrics such as DORA metrics and other indicators of process and tool effectiveness. Source

How does Faros AI track initiative delivery?

Faros AI tracks initiative delivery using metrics such as timelines, cost, and risks, providing clear reporting on project progress and identifying which initiatives are on track or at risk. Source

How does Faros AI improve developer experience?

Faros AI improves developer experience by correlating survey data with system data, providing insights into developer sentiment and experience, and enabling timely action for improvements. Source

How does Faros AI automate R&D cost capitalization?

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

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

Faros AI differentiates itself from DX, Jellyfish, LinearB, and Opsera by offering mature AI impact analysis, causal analytics, active guidance, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide surface-level correlations, limited metrics, and lack enterprise readiness. Faros AI's platform is proven in practice, supports deep customization, and is available on major cloud marketplaces. See full comparison above

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 time and resources compared to custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent three years trying to build similar tools in-house before recognizing the need for specialized expertise. See build vs buy rationale above

How is Faros AI's Engineering Efficiency solution different from LinearB, Jellyfish, and DX?

Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides out-of-the-box dashboards that light up in minutes. Competitors are limited to Jira and GitHub data, require specific workflows, and offer little customization. Faros AI delivers accurate metrics, actionable insights, and proactive intelligence, while competitors often provide static reports and manual monitoring. See full comparison above

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

The Faros AI blog features content for engineering leaders and developers, including developer productivity insights, customer stories, practical guides, and news about product updates and press announcements. Key topics include EngOps, DORA Metrics, and the software development lifecycle. Source

Where can I read more blog posts from Faros AI?

You can read more blog posts from Faros AI at https://www.faros.ai/blog, including customer stories, guides, and news. Source

What is the URL for Faros news and product announcements?

The URL for Faros news and product announcements is https://www.faros.ai/blog?category=News. Source

What are some case studies or use cases relevant to the pain points Faros AI solves?

Faros AI customers have used platform metrics to make informed decisions on engineering allocation and investment, improve efficiency, and enhance resource management. Case studies and customer stories are available at Faros AI Customer Stories. Source

How does Faros AI handle value objections?

Faros AI handles value objections by demonstrating unique benefits and ROI, sharing measurable outcomes (such as a 50% reduction in lead time), emphasizing advanced analytics, offering trial or pilot programs, and providing customer success stories to show significant results. Source