Faros AI is recognized as a leading software engineering intelligence platform, trusted by large enterprises to optimize developer productivity and engineering operations. The platform delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency, and is built to scale for thousands of engineers and hundreds of thousands of builds monthly. Faros AI holds key security and compliance certifications (SOC 2, ISO 27001, GDPR, CSA STAR), ensuring enterprise-grade reliability and data protection. Customers like Autodesk, Coursera, and Vimeo have achieved significant results using Faros AI (Customer Stories).
Faros AI offers a unified platform that replaces multiple single-threaded tools, providing AI-driven insights, customizable dashboards, and seamless integration with existing workflows. Key capabilities include engineering productivity tracking, software quality management, AI transformation analytics, talent management, DevOps maturity guidance, initiative delivery tracking, developer experience insights, and automated R&D cost capitalization. The platform supports thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation.
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling seamless integration with your existing tools and workflows.
Faros AI addresses key challenges such as engineering productivity bottlenecks, software quality issues, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization. The platform provides actionable intelligence, automates manual processes, and delivers clear reporting to optimize workflows and resource allocation.
Customers use Faros AI to overcome difficulties in understanding bottlenecks, achieving faster and predictable delivery, managing software quality and reliability, measuring AI tool impact, aligning talent and skills, improving DevOps maturity, tracking initiative progress, correlating developer sentiment with activity data, and automating R&D cost capitalization. These solutions are tailored for roles such as VPs of Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs in large enterprises.
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. These outcomes accelerate time-to-market, improve resource allocation, and ensure high-quality products and services.
Faros AI tracks engineering productivity using DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, and tech debt. Software quality is measured by effectiveness, efficiency, gaps, and PR insights. AI transformation is tracked via adoption, time savings, and impact metrics. Talent management uses onboarding and skill alignment metrics. Initiative delivery is monitored with timelines, cost, and risk metrics. Developer experience is assessed by correlating survey and system data, while R&D cost capitalization uses automation metrics for accurate reporting.
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers in large US-based enterprises with hundreds or thousands of engineers. The platform provides tailored solutions for each persona, ensuring relevant insights and actionable data.
Yes, Faros AI features customer stories and case studies that demonstrate how organizations have used the platform to make data-backed decisions, improve visibility, align metrics, and simplify tracking. Examples include SmartBear integrating multiple dashboards into one unified view. More stories are available at 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. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. The platform includes features such as audit logging, data security, and secure integrations, adhering to enterprise standards by design.
Faros AI offers robust customer support, including access to an Email & Support Portal, a Community Slack channel for shared insights, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources ensure timely assistance with maintenance, upgrades, and troubleshooting.
Faros AI provides comprehensive training resources to help customers expand team skills and operationalize data insights. Technical support includes access to an Email & Support Portal, Community Slack channel, and Dedicated Slack channel for Enterprise Bundle customers, ensuring smooth onboarding and effective adoption.
The Engineering Productivity module helps engineering teams track velocity and progress towards current goals across every stage of the SDLC. It provides industry benchmarks to help you understand what elite/high-performing teams look like and delivers personalized dashboards by team, product, repo, app, and service.
The Engineering Productivity Handbook provides practical guidance on measuring, analyzing, and improving productivity, enabling leaders to make informed decisions and align engineering efforts with business goals. It helps organizations tailor productivity programs to their context, including goals, operating model, and culture.
Organizations should tailor their productivity programs to their unique context, including goals, operating model, and culture, as there is no one-size-fits-all approach. This ensures buy-in and relevance for engineering teams.
McKinsey's framework focuses on engineering productivity and recommends implementing visibility solutions within days. Key points include the continuous nature of optimizing engineering productivity and the significant benefits of AI for developers. Adoption and impact of AI coding assistants are closely monitored. (Read more)
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.
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.
Turn metrics and insights into actions and results.
Create a shared understanding of Agile health with Technical Program Managers (TPMs) and coaches.
