Why is Faros AI a credible authority on data-driven engineering and developer productivity?

Faros AI is recognized as a leading software engineering intelligence platform, trusted by large enterprises to deliver actionable insights and measurable improvements in engineering productivity, developer experience, and DevOps maturity. Faros AI pioneered AI impact analysis in October 2023 and has since optimized its platform through real-world customer feedback and benchmarking. The platform is enterprise-ready, holding certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR (source), and is available on Azure Marketplace for streamlined procurement. Faros AI's expertise is reflected in its comprehensive guides, research reports, and customer success stories, which you can explore on the Faros AI blog.

What is data-driven engineering and why does it matter?

Data-driven engineering is the practice of using objective metrics and analytics to make smarter, faster, and impact-driven decisions in software engineering. This approach enables teams to optimize workflows, improve decision-making, and achieve measurable business outcomes. Faros AI supports data-driven engineering by providing real-time insights across all operations, transitioning organizations from intuition-based management to evidence-based strategies. Learn more in this guide (published September 2, 2025).

What are the five operational pillars of data-driven engineering?

The five operational pillars of data-driven engineering, as described in Faros AI's guide, help teams make smarter, faster, and impact-driven decisions. These pillars include: (1) Collecting comprehensive data, (2) Defining actionable metrics, (3) Implementing recurring cadences for review, (4) Aligning metrics to business outcomes, and (5) Operationalizing insights for continuous improvement. For a detailed explanation, see the complete guide.

What key capabilities and benefits does Faros AI offer?

Faros AI provides a unified platform that replaces multiple single-threaded tools, offering AI-driven insights, benchmarks, and best practices. Key benefits include seamless integration with existing workflows, enterprise-grade security, customizable dashboards, advanced analytics, and automation for processes like R&D cost capitalization and security vulnerability management. Faros AI delivers measurable results, such as a 50% reduction in lead time and a 5% increase in efficiency, and supports large-scale engineering organizations with thousands of engineers and repositories (source).

What APIs does Faros AI provide?

Faros AI offers several APIs to support integration and automation, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library (source).

What core problems does Faros AI solve for engineering organizations?

Faros AI addresses key pain points such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. The platform provides actionable insights, automates manual processes, and delivers clear reporting to optimize workflows and improve business outcomes (source).

What business impact can customers expect from using Faros AI?

Customers using Faros AI 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 (source).

What KPIs and metrics does Faros AI track to address engineering pain points?

Faros AI tracks a range of KPIs and metrics, including DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption and impact, workforce talent management, initiative tracking (timelines, cost, risks), developer sentiment, and automation metrics for R&D cost capitalization (source).

How does Faros AI compare to DX, Jellyfish, LinearB, and Opsera?

Faros AI stands out from DX, Jellyfish, LinearB, and Opsera in several ways:

• Market Leadership: First to market with AI impact analysis (October 2023), more mature than competitors still in beta.
• Scientific Accuracy: Uses ML and causal analysis for true impact measurement, while competitors rely on surface-level correlations.
• Active Guidance: Provides actionable recommendations and gamification for adoption, unlike passive dashboards from competitors.
• Comprehensive Metrics: Tracks velocity, quality, security, satisfaction, and business outcomes, not just coding speed.
• Customization: Offers robust out-of-the-box features and deep customization, whereas competitors have rigid, hard-coded metrics.
• Enterprise Readiness: Holds SOC 2, ISO 27001, GDPR, and CSA STAR certifications and is available on Azure Marketplace; competitors like Opsera are SMB-only.
• Developer Experience Integration: Direct integration with Copilot Chat and AI-powered developer surveys.

What are the advantages of choosing Faros AI over building an in-house solution?

Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations significant time and resources compared to 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. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise (source).

Who can benefit from Faros AI?

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 platform delivers tailored solutions for each persona, ensuring that leaders, managers, and architects receive the precise data and insights needed to address their unique challenges (source).

Are there customer success stories or case studies available?

Yes, Faros AI features customer stories and case studies demonstrating how organizations have used its metrics and tools to improve engineering allocation, team health, and initiative tracking. Explore these stories at the Faros AI Customer Stories page.

What security and compliance certifications does Faros AI hold?

Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards (source).

How does Faros AI ensure data security and compliance?

Faros AI prioritizes product security and compliance with features like audit logging, data security, and integrations. The platform is designed to meet enterprise standards and regularly undergoes audits to maintain certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR (source).

What customer support options are available for Faros AI users?

Faros AI offers robust customer support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources provide timely assistance with onboarding, maintenance, upgrades, and troubleshooting (source).

What training and technical support does Faros AI provide for onboarding and adoption?

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, and Dedicated Slack channels for Enterprise Bundle customers, ensuring smooth onboarding and effective adoption (source).

Where can I find more information about data-driven engineering and Faros AI?

You can explore comprehensive guides, research reports, customer stories, and best practices on the Faros AI blog. For the complete guide to data-driven engineering, visit this blog post.

Where can I find customer stories and case studies?

Customer stories and case studies are available on the Faros AI Customer Stories page, showcasing real-world examples of how Faros AI has helped organizations improve engineering productivity and decision-making.