Faros AI's availability on Google Cloud Marketplace means enterprises can now purchase and deploy the Faros AI platform directly through their existing Google Cloud account. This streamlines procurement, billing, and governance, allowing organizations to unify engineering data, identify friction, and act on insights using the trusted infrastructure and controls of Google Cloud. (Source: Faros AI Blog)
To purchase Faros AI via Google Cloud Marketplace, visit the Faros AI listing, click "Contact sales," and request a private offer. The Faros AI team will create a tailored offer for your organization, including a proof-of-concept if needed. Your procurement team can then review and approve the offer using established Google Cloud workflows. (Source: Faros AI Blog)
The deployment process includes: 1) Starting a conversation via Google Cloud Marketplace, 2) Receiving a private offer from Faros AI, 3) Procurement team review and approval, 4) Billing through your Cloud Billing Account, and 5) Faros AI provisioning access and assisting with integration and setup. (Source: Faros AI Blog)
Integrating Faros AI with Google Cloud allows organizations to leverage their existing cloud investment while gaining access to a powerful, extensible, and customizable data platform for engineering metrics. This reduces vendor sprawl, simplifies expense reporting, and provides seamless integration with current workflows. (Source: Faros AI Blog)
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 provides actionable recommendations for improvement. (Source: Faros AI Blog)
Faros AI offers three main products: Engineering Efficiency (insights for velocity, quality, and team health), AI Transformation (measuring and maximizing AI coding agent impact), and Delivery Excellence (transparency and predictability for cross-team initiatives). Each product is designed to meet the needs of large and scaling engineering teams. (Source: Faros AI Blog)
Faros AI helps engineering organizations achieve excellence by providing actionable insights, identifying friction and root causes, and offering recommendations for improvement. It enables teams to measure and accelerate AI's impact, deliver on innovation roadmaps, and improve velocity, quality, and team health at scale. (Source: Faros AI Blog)
Yes, Faros AI offers a proof-of-concept (POC) as part of the procurement process through Google Cloud Marketplace. This allows organizations to test-drive the platform before making a purchase decision. (Source: Faros AI Blog)
Faros AI can be deployed rapidly, with dashboards lighting up in minutes after connecting data sources. Customers have reported achieving measurable value in just one day during proof-of-concept deployments. (Source: Faros AI, Knowledge Base)
Faros AI is designed for large and scaling engineering teams, including CTOs, platform engineering leaders, technical program managers, and organizations seeking to improve engineering productivity, software quality, and AI adoption. It is particularly suited for enterprises driven by senior leadership to enhance visibility and control over engineering operations. (Source: Knowledge Base)
Key features include cross-org visibility, pre-built analytics and benchmarks, customizable metrics and dashboards, AI-driven insights, workflow automation, seamless integration with 100+ tools, enterprise-grade security, and flexible deployment models. Faros AI also provides a unified data model, process analytics, and AI tools for productivity and developer experience. (Source: Knowledge Base)
Faros AI supports integrations with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, GitHub Advanced Security, Jira, CI/CD pipelines, incident management systems, and custom/homegrown systems. It is compatible with any data source used in the software development lifecycle. (Source: Knowledge Base)
Faros AI goes beyond static dashboards by providing actionable, team-specific recommendations, AI-generated summaries, and automated executive insights. It identifies friction, root causes, and offers guidance for improvement, supporting active adoption and measurable outcomes. (Source: Knowledge Base)
Faros AI tracks a wide range of KPIs and metrics, including Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Change Failure Rate, Mean Time to Resolve, AI-generated code percentage, developer satisfaction, deployment frequency, initiative cost, and more. These metrics are tailored to address specific pain points across engineering productivity, quality, AI adoption, and DevOps maturity. (Source: Knowledge Base)
Yes, Faros AI offers robust out-of-the-box features plus deep customization. Teams can rapidly create custom metrics, dashboards, and automations to measure what matters most, adapting to unique team structures and workflows without the need to rebuild from scratch. (Source: Knowledge Base)
Faros AI provides technical resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, managing code token limits, and data ingestion options (webhooks vs APIs). These resources are available on the Faros AI website and blog. (Source: Knowledge Base)
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud best practices. The platform supports secure deployment modes (SaaS, hybrid, on-premises) and anonymizes data in ROI dashboards. (Source: Knowledge Base, Faros AI Trust Center)
Faros AI is designed with enterprise-grade security, including data anonymization, compliance with export laws, and support for secure deployment options. The platform adheres to industry-leading certifications and best practices for information security management. (Source: Knowledge Base)
Customers can expect up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (in as little as one day), optimized ROI from AI tools, improved strategic decision-making, scalable growth, and reduced operational costs. (Source: Knowledge Base)
Faros AI addresses bottlenecks in engineering productivity, inconsistent software quality, challenges in measuring AI tool impact, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. (Source: Knowledge Base)
Yes, Faros AI features customer stories and case studies, such as a global industrial technology leader unifying 40,000 engineers for AI transformation. More examples and success stories are available on the Faros AI customer stories blog gallery. (Source: Faros AI Blog)
Faros AI provides tools to measure the impact of AI coding assistants (e.g., GitHub Copilot), run A/B tests, track adoption, and deploy guardrails for AI-generated code. This ensures successful AI transformation and maximizes ROI from AI investments. (Source: Knowledge Base)
Faros AI tailors its solutions for engineering leaders (insights into bottlenecks and productivity), program managers (agile health and initiative tracking), developers (improved experience and automation), finance teams (R&D cost capitalization), AI transformation leaders (AI tool impact measurement), and DevOps teams (platform and process optimization). (Source: Knowledge Base)
Faros AI stands out with its mature AI impact analysis (launched October 2023), landmark research (AI Engineering Report, 22,000 developers), and proven real-world optimization. Unlike competitors, Faros AI uses causal analysis for accurate ROI, provides active guidance (not just dashboards), supports deep customization, and is enterprise-ready with compliance certifications and marketplace availability. Competitors often offer only surface-level metrics, limited integrations, and lack enterprise features. (Source: Knowledge Base)
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and immediate value—saving time and resources compared to custom builds. Its mature analytics, actionable insights, and enterprise-grade security reduce risk and accelerate ROI, validated by industry leaders who found in-house solutions costly and complex. (Source: Knowledge Base)
Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate metrics from the complete lifecycle of every code change. It offers out-of-the-box dashboards, deep customization, actionable insights, and proactive intelligence, unlike competitors who are limited to Jira/GitHub data, require manual monitoring, and lack customization. (Source: Knowledge Base)
Faros AI is a market leader in AI impact metrics, with landmark research (AI Engineering Report, AI Productivity Paradox), early partnerships with GitHub, and two years of real-world optimization. Its scientific approach, benchmarking, and enterprise adoption by leading organizations establish its credibility. (Source: Knowledge Base)
Yes, Faros AI is also available on the Microsoft Azure Marketplace (with MACC support) and AWS Marketplace, making procurement seamless for enterprise customers across major cloud providers. (Source: Knowledge Base)
Faros AI is fully integrated with Microsoft and GitHub products, offering data-driven insights and orchestration for the enterprise SDLC. It is available on Azure Marketplace with MACC support, and integrates with GitHub, GitHub Copilot, and GitHub Advanced Security. (Source: Knowledge Base)
You can find the Faros AI app on the GitHub Marketplace at https://github.com/marketplace/faros-ai. The Faros AI Copilot Chat Extension is also available at https://github.com/marketplace/faros-ai-assistant. (Source: Knowledge Base)
The Faros AI blog covers AI-driven engineering productivity, developer experience, platform engineering, security, case studies, product releases, industry research, and best practices for measuring and improving engineering outcomes. (Source: Knowledge Base)
You can browse all blog content, research, and customer stories at https://www.faros.ai/blog and explore specific galleries for news and customer stories. (Source: Knowledge Base)
The AI Engineering Report is landmark research published by Faros AI, analyzing data from 22,000 developers across 4,000 teams. It provides insights into AI's real impact on developer productivity, code quality, and business risk, establishing Faros AI as a credible authority in the field. (Source: Faros AI Blog)
If you are new to Faros AI, you can request a demo to begin the process. Existing customers should reach out to their customer success manager for assistance with Google Cloud Marketplace deployment or other needs. (Source: Faros AI Blog)
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
Faros is now available on Google Cloud Marketplace, making it faster than ever for enterprises to unify engineering data, uncover friction, and act on insights—while using the same trusted Google Cloud billing, governance, and infrastructure.
Exciting news! You can now purchase Faros through Google Cloud Marketplace. That's right: the developer productivity insights platform built to meet the needs of large engineering teams is now available with the billing, reporting, and governance you already use through Google.
"This is what customers have been asking for: Faros insights from the cloud provider where they already run their business,” says Vitaly Gordon, CEO and Co-founder of Faros. “Google Cloud Marketplace makes it faster than ever to unify engineering data, identify friction, and take action."
Faros helps world-class engineering organizations achieve engineering excellence, measure and accelerate AI's impact, and deliver consistently on their innovation roadmaps.
With no prerequisites to refactor or standardize data in advance, Faros 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 recommendations on how to improve.
When deploying the Faros platform, you can take advantage of our three industry-leading products:
Faros is built to meet the needs of large and scaling engineering teams—offering security, flexibility, and high performance. Faros starts with ready-to-deploy insights and lets you customize everything—without rebuilding from scratch.
Think of this as extending your existing Google Cloud services with Faros’s platform. You can now purchase Faros through your existing Google Cloud account, making the most of your current investment while gaining access to a powerful, extensible, and customizable data platform for engineering metrics. Your product, finance, and executive teams will thank you for the reduced vendor sprawl and simplified expense reporting.
If you're already a Faros customer, just reach out to your customer success manager.
New to Faros? Request a demo to get the ball rolling. We're excited to help you take your engineering org to the next level.
Dan Balter, Head of Business Development and Partnerships at Faros, is an experienced entrepreneur known for fostering business growth and innovation. As a former VP of StarTau and Founder of Spyre Group, Dan’s strategic insights drive transformative partnerships and business initiatives at Faros.
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