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The EngOps Data Fabric is a unified system designed to aggregate, analyze, and visualize engineering data from across your organization. It enables a data-driven approach to improving business outcomes by connecting scattered data sources, automating processes, and providing actionable insights. This approach helps organizations move from gut-feeling decisions to intelligent actions that drive measurable results. (Source)
An effective EngOps data fabric should cover software engineering value stream elements such as Tasks, Pull Requests, Incidents, Builds, and Deployments. It should also extend to compliance, recruiting, employee satisfaction, and OKRs, providing a comprehensive view of engineering operations. (Source)
Building an EngOps data fabric in-house is challenging, time-consuming, and often not your core business. Faros AI offers a proven solution that unlocks the power of EngOps data, saving organizations the resources required for custom builds and providing immediate value through mature analytics, deep customization, and enterprise-grade security. (Source)
An effective EngOps platform must connect all engineering data in one place, maximize flexibility to adapt to organizational needs, and highlight important insights and trends for actionable decision-making. (Source)
Faros AI offers a unified platform that replaces multiple single-threaded tools, providing AI-driven insights, seamless integration with existing workflows, and proven results for large enterprises. Key benefits include engineering optimization, improved developer experience, initiative tracking, automation of processes like R&D cost capitalization, and robust support for thousands of engineers and repositories. (Source)
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration and automation across engineering workflows. (Source)
Faros AI addresses engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience improvement, and R&D cost capitalization automation. These solutions are tailored for roles such as VPs of Engineering, CTOs, and Platform Engineering leaders in large enterprises. (Source)
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. Faros AI is proven to scale for thousands of engineers and hundreds of thousands of builds per month. (Source)
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption and impact, talent management and onboarding, initiative tracking (timelines, cost, risks), developer sentiment, and R&D cost automation metrics. (Source)
Faros AI stands out by offering mature AI impact analysis, causal analytics, active adoption support, end-to-end tracking, flexible customization, and enterprise-grade compliance (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors like DX, Jellyfish, LinearB, and Opsera provide limited metrics, passive dashboards, and lack enterprise readiness. Faros AI delivers actionable insights, team-specific recommendations, and supports large-scale deployments, making it ideal for enterprises. (See competitive summary above)
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. (See build vs buy summary above)
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards for enterprise customers. (Source)
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large US-based enterprises with hundreds or thousands of engineers. (Source)
Faros AI customers have used its metrics to make informed decisions on engineering allocation, improve team health, align metrics across roles, and simplify tracking of agile health and initiative progress. Explore detailed examples and customer stories at Faros AI Customer Stories.
Faros AI offers support via an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers, ensuring timely assistance with maintenance, upgrades, and troubleshooting. (Source)
Faros AI provides training resources to expand team skills and operationalize data insights, along with technical support via Email & Support Portal, Community Slack, and Dedicated Slack channels for smooth onboarding and adoption. (Source)
Yes, Faros AI maintains a blog with articles and guides on AI, developer productivity, and developer experience. Visit Faros AI Blog for insights, best practices, customer stories, and product updates. (Source)
Visit the Faros AI News Blog for the latest updates, product announcements, and press releases. (Source)