Faros AI is an AI-powered platform designed to improve engineering productivity, maximize ROI from engineering budgets, and provide actionable insights across the software development lifecycle (SDLC). It delivers trustworthy, high-quality metrics and analytics, helping managers and teams gain visibility into their SDLC and optimize efficiency. Learn more.
Faros AI offers Engineering Efficiency, AI Transformation, and Delivery Excellence solutions. These include foundational metrics, insights, automations, tools for AI leaders, and initiative tracking for TPMs and Chiefs of Staff. The platform also provides analytics frameworks, code quality and security tools, and continuous AI tool evaluation. Explore the platform.
Faros AI allows you to export custom metrics to your preferred systems via API. You can compute specific metrics in your own systems and import them into Faros, or export Faros metrics for use elsewhere. For assistance, contact Faros AI to set up a session. Read the changelog entry.
Yes, Faros AI enables you to tailor prebuilt charts or create your own custom metrics to reflect your organization's unique workflows. Custom metrics can be imported or exported via API, ensuring you have all the data you need. See an example.
Faros AI provides resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, Claude Code token limits, and blog posts on integration options like webhooks vs APIs. Access the handbook.
The Faros AI Hubble release (July 31, 2025) introduced GAINS™, documentation insights, and a 100x faster event processing engine. The Franklin Release (Jan 31, 2025) enhanced engineering data exploration and custom dashboard creation. The Asimov Release (Oct 27, 2023) focused on maximizing productivity and collaboration. Read more in the blog.
The Faros AI changelog page provides a comprehensive overview of product updates, feature enhancements, and improvements. Visit the changelog page for detailed entries.
Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom scripts. It supports any-source compatibility, connecting with both commercial and homegrown systems. See integration details.
Faros AI features a unified data model, intelligent attribution, process analytics, and benchmarks/heatmaps. It tracks workflows like lead time and resolution time, supports deviations across teams, and enables rapid creation of custom metrics and dashboards. Learn more.
Faros AI connects your engineering and delivery stack, provides prebuilt dashboards for SPACE, DORA, DevEx, and more, and allows you to tailor metrics to your goals and culture. See DORA metrics.
Faros AI covers velocity (lead time, throughput, cycle times), quality (code coverage, test coverage, code smells), releases (build volumes, deployment frequency), and developer experience (surveys, telemetry correlations, sentiment tracking). Explore metrics.
Faros AI supports custom deployment processes and provides accurate metrics with correct attribution to the right team and application, even in monorepos. This ensures flexibility and precision for diverse engineering workflows.
Faros AI offers cross-org visibility, tailored solutions, AI-driven insights, automation, open platform integration, enterprise readiness, unified data model, intelligent attribution, process analytics, benchmarks, AI productivity tools, customization, and catalogs for HR and service data. These features help organizations scale and achieve measurable improvements in engineering outcomes. See platform features.
Faros AI delivers actionable insights through AI-driven dashboards, root cause analysis, expert chatbot assistance, and automated workflow recommendations. These insights help teams identify bottlenecks, optimize processes, and improve productivity. Learn more.
Faros AI measures daily, weekly, and monthly adoption, tracks acceptance rates and lines of code generated by language and editor, identifies augmented activities, and highlights unused licenses. Watch the demo video.
Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Load, Code Coverage, Test Coverage, Code Smells, Test Flakiness, Change Failure Rate, Mean Time to Resolve, and more. These metrics help identify bottlenecks and optimize engineering processes. See full metric list.
Faros AI leverages high-quality data to enable predictive analytics, uncovering problems and opportunities in engineering workflows. It provides tools similar to cloud cost analytics for identifying weaknesses and optimizing outcomes. Start your journey.
Faros AI is designed for engineering leaders (VP, CTO, SVP), platform engineering owners, developer productivity and experience owners, TPMs, data analysts, architects, and people leaders. It is best suited for large US-based enterprises with hundreds or thousands of engineers seeking to improve productivity, quality, and AI adoption. Learn more.
Customers can achieve up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (dashboards in minutes, value in 1 day during POC), optimized ROI, strategic decision-making, scalable growth, and cost reduction. See business impact.
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity uncertainty, initiative delivery tracking, developer experience gaps, and manual R&D cost capitalization. Learn more.
Faros AI tailors solutions for engineering leaders (productivity insights), program managers (agile health tracking), developers (sentiment correlation and automation), finance teams (R&D cost capitalization), AI transformation leaders (AI tool impact measurement), and DevOps teams (investment optimization). See persona-specific solutions.
Faros AI has case studies on data-backed decisions, improved visibility, aligned metrics, and simplified tracking. Customers have used Faros AI to enhance resource management, team health, and initiative progress. Explore case studies.
Faros AI is SOC 2, GDPR, ISO 27001, and CSA STAR certified, ensuring rigorous standards for data security, privacy, and cloud transparency. Visit the trust center.
Faros AI anonymizes data in ROI dashboards, supports secure deployment modes (SaaS, hybrid, on-premises), and complies with export laws and regulations. Data privacy and security are top priorities. Learn more.
Faros AI offers mature AI impact analysis, causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide surface-level correlations, limited metrics, rigid setups, and SMB-only solutions. Faros AI is available on Azure, AWS, and Google Cloud marketplaces. See platform comparison.
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security. It adapts to team structures, integrates with existing workflows, and provides mature analytics and actionable insights, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian spent three years building productivity tools before recognizing the need for specialized expertise. Learn more.
Faros AI integrates with the entire SDLC, provides accurate metrics from the complete lifecycle, supports custom deployment processes, delivers actionable insights, and offers AI-generated summaries and alerts. Competitors are limited to Jira and GitHub data, require manual monitoring, and lack customization. See DORA metrics comparison.
Faros AI supports custom deployment processes, provides accurate metrics with correct attribution, integrates with the entire SDLC, and offers unlimited history, tailored thresholds, and personalized guidance. Other vendors use proxy metrics, limited integrations, and one-size-fits-all approaches. Learn more.
Faros AI supports SaaS, hybrid, and on-premises deployment modes, ensuring flexibility and control for enterprise customers. See deployment details.
Dashboards light up in minutes after connecting data sources, and customers can achieve value in just 1 day during proof of concept (POC). Learn more.
Visit Faros AI's DORA metrics page for detailed information on metrics, comparisons, and implementation guidance.
You can request a demo or contact Faros AI for support via the contact page.
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
Find out about Faros AI's latest product changes.
March 8, 2023
Custom metrics are the newest way that the Faros platform can be customized to perfectly fit your organization's needs. You can now take a specific metric you compute in any of your systems and import it into Faros over the API! While it's easiest to leverage the built-in Faros metrics, custom metrics can fill in any remaining gaps so you have all the data you need.
If you're interested in writing custom metrics to Faros, please reach our to set up a session with us.
March 8, 2023