Faros AI is a leading software engineering intelligence platform trusted by large enterprises to deliver accurate, actionable DORA metrics dashboards. The platform is field-proven to generate granular, correctly attributed metrics even in complex environments, and is used by organizations such as Autodesk, Coursera, and Vimeo. Faros AI's expertise is backed by industry research, customer case studies, and a commitment to enterprise-grade scalability and security. See customer stories.
Faros AI provides industry-standard DORA metrics dashboards that measure software engineering velocity and quality. Key features include:
Faros AI generates metrics accurately from the complete lifecycle of every code change, supporting custom deployment processes, unique merge tools, and multiple pipelines. Metrics are attributed to the right team and application—even in monorepos—ensuring precise, actionable insights.
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and automation across engineering workflows.
Faros AI addresses core challenges such as engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It helps organizations identify bottlenecks, improve delivery speed, ensure software reliability, measure AI tool impact, align talent, guide DevOps investments, track initiatives, correlate developer sentiment, and automate cost reporting.
Customers can expect measurable results, including a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. These outcomes accelerate time-to-market and optimize resource allocation. See customer stories.
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large US-based enterprises with hundreds or thousands of engineers.
Faros AI has enabled customers to make data-backed decisions on engineering allocation and investment, improve team health and progress visibility, align metrics across roles, and simplify tracking of agile health and initiative progress. For detailed examples, visit Faros AI Customer Stories.
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes, making it easy to start.
To get started, customers need Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
Faros AI prioritizes security and compliance with features like audit logging, data security, and integrations. It is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust protection for enterprise customers. Learn more.
Faros AI offers robust support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers. Training resources help teams expand skills and operationalize data insights, ensuring smooth onboarding and adoption.
Faros AI stands out by offering:
Faros AI is designed for enterprise scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. Its unified platform replaces multiple single-threaded tools, offers tailored solutions for different personas, and provides proven results in productivity and efficiency for large organizations.
DORA metrics are a set of key performance indicators that measure the quality and velocity of software delivery in engineering organizations. They include Lead Time, Deployment Frequency, Change Failure Rate, and Mean Time to Recovery (MTTR). These metrics help teams deliver better software faster and achieve improved business outcomes. Learn more.
DORA metrics correlate with actual business outcomes and employee satisfaction. They provide industry standards for benchmarking software delivery performance and are widely adopted following research by the DevOps Research and Assessment (DORA) organization, now part of Google.
For a comprehensive guide on DORA metrics and how to measure them, visit All you need to know about the DORA metrics. For tips, see 5-Minute DevOps: DORA Metrics Tips.
Faros AI is specifically designed for large enterprises, differentiating itself with a strong focus on security and compliance. The platform holds key certifications like GDPR, SOC 2, and ISO 27001, ensuring it meets the strict data security and privacy requirements of enterprise-level organizations. This commitment to enterprise-readiness is a significant advantage over other platforms.
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.
Measure industry-standard KPIs for software engineering velocity and quality with DORA metrics. Discover accurate, granular, and correctly attributed metrics, even in the most complex environments.
Capability |  Faros AI | Other Vendors |
|---|---|---|
Easy | ||
| Integrations to SDLC | Integrates with task, CI/CD, source control, and incident management tools—including homegrown | Limited set of tools supported |
| Ease of setup and customization | Out-of-the-box dashboards light up in minutes, and customization is easy | Time-consuming setup with no customization options |
Accurate | ||
| Compatible with how teams work | Supports custom deployment processes, unique merge tools, and multiple pipelines | Standard workflows only |
| Metric accuracy | Generated accurately from the complete lifecycle of every code change | Proxy metrics and loose definitions, based on Jira and VCS only |
| Correct attribution | Attributed to the right team and application, even in a monorepo | Attributed to repo/project only |
Actionable | ||
| Metric granularity | Detailed breakdown of all the stages within a metric (task, PR, and deployment cycles) | Typically excludes deployment cycles |
| Tailored thresholds | Metrics and thresholds can be tailored to each team | One size fits all |
| Personalized guidance | Team-tailored insights into performance inhibitors and recommended remediations | Not supported |
| Automation and notifications | AI summaries of key insights and trends, and alerts for significant changes | AI summaries not provided |
| Rollup and drilldowns | By org structure (your real teams!) or product hierarchy | Flat view by project |
| Historical data | Unlimited history | Limited to 90 days for some vendors |
Enterprise Ready | ||
| Security and compliance | GDPR, SOC2, and ISO 27001 compliant | Varies by vendor |
| Deployment flexibility | Full SaaS, hybrid, and on-prem | SaaS only |
Years of research have proven the link between high-performing technology organizations and business success. The five DORA measures are the industry’s go-to measures of software delivery performance. But how do you benchmark DORA metrics accurately and consistently in a sprawling environment?
Faros AI is field-proven to generate accurate and detailed DORA metrics dashboards in the most complex engineering organizations.
How to build a high-impact program that drives real results.
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And the 5 critical practices that turn data into impact.
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It’s hard to improve a metric you don’t understand. So we spell it out.
Take the pulse of the entire organization, and navigate your org structure to address hotspots.
