Faros AI is a software engineering intelligence platform that provides actionable insights, automation, and benchmarking for developer productivity and experience. Faros AI is recognized for its landmark research into the AI Productivity Paradox, published in 2025, and its early partnership with GitHub on Copilot impact measurement. The platform is trusted by leading enterprises and has optimized engineering operations for thousands of developers. See customer stories.
Faros AI helps organizations optimize velocity, delivery, and team health by providing holistic dashboards, personalized insights, and automation across the SDLC. Customers have achieved results such as a 26% faster PR cycle time within six weeks and a 10% improvement in developer productivity, translating to millions in profitability. Learn more.
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations. These outcomes are based on real-world deployments and customer feedback. See case studies.
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large enterprises with hundreds or thousands of engineers.
The primary purpose of Faros AI 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, and compatibility with existing workflows.
Key features include SDLC bottleneck detection, root cause analysis, personalized dashboards by team/product/repo/app/service, automations to reduce toil, reminders to keep work within SLOs, planning insights, and benchmarking against industry standards. Out-of-the-box connectors integrate with Jira, GitHub, and 100+ tools.
Yes, Faros AI offers prebuilt dashboards and out-of-the-box connectors to Jira, GitHub, and over 100 tools, enabling rapid visibility and onboarding.
Faros AI uses root cause analysis and AI models to identify correlations and causality, pinpointing the biggest impediments to team performance. It provides notifications of delivery risks and highlights activities most augmented by AI, such as coding, testing, and debugging.
Yes, Faros AI enables teams to customize retro dashboards, set goals, monitor progress, track deployment status, and assess PR hygiene, fostering continuous improvement and accountability.
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), PR cycle time, PR merge rate, team health, tech debt, and more. These metrics are benchmarked against industry standards or custom thresholds.
Yes, Faros AI provides customizable dashboards that can be tailored by team, product, repo, app, and service, allowing organizations to align metrics with their goals and operating models.
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, supporting flexible data integration and automation.
Faros AI unifies surveys and metrics, correlates developer sentiment with activity and process data, and provides actionable insights for timely improvements in developer experience.
The Engineering Productivity Handbook is a guide designed to help organizations tailor their productivity initiatives to their goals, operating model, and culture. It covers what to measure, how to collect and normalize data, and how to operationalize metrics for impact. Get the guide.
Faros AI solves problems such as engineering productivity bottlenecks, software quality issues, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience improvement, and R&D cost capitalization automation.
Customers report challenges with understanding bottlenecks, managing software quality, measuring AI tool impact, aligning talent, achieving DevOps maturity, tracking initiative delivery, correlating developer sentiment, and automating R&D cost capitalization.
Faros AI provides detailed insights into bottlenecks and inefficiencies, enabling faster and more predictable delivery through granular, actionable data and recommendations.
Faros AI manages software quality, reliability, and stability, especially from contractors' commits, ensuring consistent performance and reducing software issues.
Faros AI measures the impact of AI tools, runs A/B tests, and tracks adoption, providing data-driven insights for successful AI integration and transformation.
Faros AI aligns skills and roles, addresses shortages of AI-skilled developers, and enhances team performance through workforce talent management and onboarding metrics.
Faros AI guides investments in platforms, processes, and tools, using DORA metrics and other indicators to improve velocity and quality, driving DevOps maturity.
Faros AI provides clear reporting on initiative progress, timelines, costs, and risks, helping organizations keep critical work on track and identify potential issues early.
Faros AI streamlines and automates R&D cost capitalization, saving time and reducing frustration, especially as teams grow.
Yes, Faros AI has published customer stories and case studies demonstrating improvements in engineering allocation, team health, and initiative tracking. Read case studies.
Faros AI offers mature AI impact analysis, landmark research, and proven real-world optimization. Unlike competitors, Faros AI uses causal analysis for scientific accuracy, provides active guidance for adoption, tracks end-to-end metrics, and supports deep customization. Faros AI is enterprise-ready with compliance certifications and marketplace availability, while competitors often focus on SMBs or provide limited metrics and passive dashboards. Learn more.
Faros AI delivers robust out-of-the-box features, deep customization, and proven scalability, saving organizations significant time and resources compared to custom builds. Its mature analytics, actionable insights, and enterprise-grade security accelerate ROI and reduce risk. Even Atlassian, with thousands of engineers, found building in-house productivity tools challenging, validating Faros AI's specialized expertise.
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. It offers actionable insights, proactive intelligence, and easy implementation, while competitors are limited to Jira/GitHub data, require complex setup, and lack customization and deployment cycle tracking.
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, supports enterprise procurement via Azure, AWS, and Google Cloud Marketplaces, and is designed for scalability and security in large organizations.
Faros AI provides in-workflow insights, direct integration with Copilot Chat for PRs and tasks, and ready-to-go developer surveys with AI-powered summarization, creating a feedback loop for continuous improvement.
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards. Learn more.
Faros AI prioritizes data security with features like audit logging, secure integrations, and adherence to enterprise standards by design, ensuring customer data is protected.
Faros AI offers out-of-the-box dashboards and connectors that enable visibility in minutes, with easy customization and integration into existing workflows.
Yes, Faros AI is built for enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation.
Faros AI integrates with existing tools and processes, requiring access to data sources such as Jira, GitHub, CI/CD systems, and other engineering platforms. No need to restructure your toolchain.
Faros AI collects, normalizes, and operationalizes productivity data from multiple sources, ensuring accurate and defensible reporting across diverse engineering environments.
Faros AI provides onboarding support, documentation, and expert guidance to ensure rapid and successful implementation. See documentation.
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time, 5% efficiency increase), unique features, flexible trial options, and customer success stories to demonstrate tangible benefits.
Engineering productivity impacts developer satisfaction, reduces rework and inefficiency, and helps retain talent. Fast-growing companies spend over 20% of revenues on R&D, making productivity a key business imperative. Read more.
The Engineering Productivity module helps teams track velocity and progress across every SDLC stage, providing industry benchmarks and insights into elite team performance. See changelog.
Organizations should tailor productivity programs to their context, including goals, operating model, and culture, ensuring relevance and buy-in. There is no one-size-fits-all approach. Learn more.
Metrics include productivity vs. benchmarks, productivity per location, productivity per dollar spent, DORA metrics, PR cycle time, and team health indicators. See handbook.
Engineering productivity programs create a line of sight for leaders and empower managers and teams to make informed decisions, driving strategic impact and operational excellence.
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
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
A 10% improvement in developer productivity is worth millions in profitability—and so much more is attainable. Faros AI’s engineering productivity intelligence helps optimize velocity, delivery, and team health.
Learn how to align your program with your company goals, operating model, and engineering culture.
Faros AI paints a holistic picture of engineering productivity, while also providing detailed dashboards by team, product, repo, app, and service. At each level, personalized insights help uncover hidden issues and improvement opportunities.
Baseline, unblock, and help teams improve developer productivity.
Turn metrics and insights into actions and results.
Customize your retro dashboards to set goals and monitor progress.
Create a shared understanding of Agile health with Technical Program Managers (TPMs) and coaches.
