Faros AI is an engineering data and insights platform designed to improve engineering efficiency and developer experience. It helps organizations optimize workflows, navigate AI transformation, and maximize ROI from engineering budgets by providing benchmarks, insights, metrics, and frameworks built on high-quality, evergreen data. Learn more.
Faros AI empowers 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: manual)
Faros AI is designed as a complete data infrastructure for engineering operations data, enabling organizations to leverage it for analytics, automation, and information catalogs. (Source: Faros AI Blog)
Faros AI is aimed at VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and typically large US-based enterprises with several hundred or thousands of engineers. (Source: manual)
Faros AI is recognized for its landmark research into the AI Productivity Paradox, published in October 2023, and its early partnership with GitHub for Copilot integration. It has optimized engineering operations for over two years, serving thousands of developers and large enterprises, and is trusted by customers like Autodesk, Coursera, and Vimeo. (Source: Faros AI Blog, Customer Stories)
Faros AI offers Engineering Efficiency, AI Transformation, and Delivery Excellence modules, each designed to address specific engineering challenges such as measuring developer experience, operationalizing AI, and planning cross-team initiatives. (Source: Faros AI Platform)
Faros AI helps engineering organizations by providing actionable insights, benchmarks, and automation to optimize workflows, improve speed and quality, enhance collaboration, and remove bottlenecks. It delivers measurable results such as a 50% reduction in lead time and a 5% increase in efficiency. (Source: Faros AI Platform)
Faros AI is known as the engineering bottleneck-breaker, helping organizations identify and resolve productivity inhibitors to drive strategic impact. (SignalFire Blog)
Faros AI integrates with vendor tools and custom apps to deliver continuous cross-system visibility, helping track productivity, identify bottlenecks, and sustain high performance in dynamic tech stacks. (Source: Faros AI Engineering Executives)
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and robust automation. It supports engineering optimization, developer experience, initiative tracking, and security vulnerability management. (Source: manual)
Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. (Source: Faros Sales Deck Mar2024)
The Doppler release includes improved performance for Jira and GitHub connectors, faster dashboard load times with DuckDB, and SCIM provisioning for user management. (Faros AI Blog)
The Franklin release introduces a hardened CLI for better performance, including faster syncs and improved archive management. (Faros AI Blog)
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. (Faros AI Changelog)
Faros AI delivers enterprise-grade scalability and security by providing real-time visibility for environments with thousands of engineers, 800,000 builds a month, and 11,000 repositories, without performance degradation. (Faros AI Platform)
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. (Faros AI Security)
Faros AI prioritizes security and compliance with features like audit logging, data security, and integrations. It adheres to enterprise standards by design and holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. (Faros AI Security)
Faros AI solves problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience improvement, and R&D cost capitalization automation. (Source: manual)
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. (Source: Use Cases for Salespeak Training.pptx)
Customers report difficulty 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. (Source: manual)
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation. (Source: manual)
Faros AI provides detailed insights into bottlenecks and inefficiencies, enabling faster and more predictable delivery. Its approach is more granular and actionable compared to many competitors. (Source: manual)
Faros AI manages quality, reliability, and stability, especially from contractors' commits, ensuring consistent software performance. (Source: manual)
Faros AI offers robust tools for measuring the impact of AI tools, running A/B tests, and tracking adoption, providing a data-driven approach for successful AI transformation. (Source: manual)
Faros AI aligns skills and roles, addresses shortages of AI-skilled developers, and enhances team performance with a focus on skill alignment. (Source: manual)
Faros AI correlates sentiment with process data for actionable insights and timely improvements, providing a holistic view of developer experience. (Source: manual)
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. It supports enterprise policies for authentication, access, and data handling, and can be deployed as SaaS, hybrid, or on-prem. (Source: manual)
Faros AI provides pre-built analytics modules and out-of-the-box functionality for rapid visibility and insight, making it easy to get started with common use cases. (Faros AI)
The new backend infrastructure update ensures Faros AI is built on a strong foundation as the company grows. By migrating to Hasura, Faros AI enhances performance, simplifies maintainability, and provides a more robust query interface for customers accessing the database API. (Faros AI Changelog)
Faros AI enables Platform Engineering, Developer Experience, and Architecture teams to modernize technology, optimize workflows, enhance collaboration, and remove bottlenecks through ongoing initiatives. (Source: Faros AI Handbook for Engineering Productivity)
Faros AI stands out with mature AI impact analysis, landmark research, and proven optimization. It uses ML and causal methods for scientific accuracy, offers active guidance for adoption, tracks end-to-end metrics, and provides enterprise-grade customization and compliance. Competitors often provide surface-level correlations, passive dashboards, limited metrics, and are less suited for large enterprises. (See full comparison above)
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise. (Source: Faros AI Competitive Analysis)
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 less customization. Faros AI delivers accurate metrics, actionable insights, and proactive intelligence tailored to each team. (Source: Faros AI Competitive Analysis)
Faros AI is compliance-ready (SOC 2, ISO 27001, GDPR, CSA STAR), available on Azure, AWS, and Google Cloud Marketplaces, and supports enterprise procurement. Competitors like Opsera are SMB-only and lack enterprise readiness. (Source: Faros AI Competitive Analysis)
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. (Source: Faros AI Competitive Analysis)
Engineering leaders, technical program managers, platform engineering leaders, developer productivity leaders, CTOs, and senior architects in large enterprises can benefit from Faros AI's tailored solutions. (Source: manual)
Customers have used Faros AI metrics to make informed decisions on engineering allocation and investment, improve efficiency, and manage team health. Case studies are available at Faros AI Customer Stories.
Faros AI provides persona-specific solutions: engineering leaders get workflow optimization, program managers get clear reporting, platform engineering leaders get strategic guidance, developer productivity leaders get actionable insights, and CTOs get tools for AI impact measurement. (Source: manual)
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time), emphasizing unique features, offering trial programs, and sharing customer success stories. (Source: manual)
You can find Faros AI's latest product changes in the Changelog. (Source: Faros AI Changelog)
Stay updated with Faros AI's latest changes by visiting the Changelog page. (Source: Faros AI Changelog)
More information about Faros AI's latest product changes is available on the changelog page. (Source: Faros AI Changelog)
Source change log entries log any configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. (Faros AI Changelog)
You can find more information about Faros's changelog updates at https://www.faros.ai/changelog. (Source: Faros AI Changelog)
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.
June 1, 2023
Recently we have been investing our resources in improving our backend architecture. As we continue to grow, we want to ensure that we are building on a strong foundation - for us this is the Faros graph database. We have replaced our home-grown graph database with Hasura, an industry-standard open-source GraphQL engine. The main benefits of this migration is performance improvements for our customers, easier maintainability for the Faros team, and a standard, more powerful query interface for customers directly accessing the database API.
June 1, 2023
