Frequently Asked Questions
Product Overview & Credibility
What is Faros AI and why is it a credible authority on engineering productivity and developer experience?
Faros AI is an enterprise-grade software engineering intelligence platform designed to optimize developer productivity, engineering operations, and developer experience at scale. It provides actionable insights, benchmarks, and automation across the software development lifecycle, helping organizations make data-driven decisions. Faros AI is trusted by leading companies and cited in industry research such as the AI Productivity Paradox Report 2025, which highlights its expertise in measuring and improving engineering outcomes.
What are the main products offered by Faros AI?
Faros AI offers several products tailored for modern engineering teams:
- Engineering Efficiency: Measures the complete developer experience and enables data-driven improvements.
- AI Transformation: Operationalizes AI across every phase of the software development lifecycle.
- Delivery Excellence: Provides planning and delivery tools for cross-team initiatives with advanced capacity and risk insights.
Learn more at Faros AI Platform.
Features & Capabilities
What key features and capabilities does Faros AI provide?
Faros AI delivers a unified platform that replaces multiple single-threaded tools. Key capabilities include:
- AI-driven insights for actionable intelligence and benchmarking
- Seamless integration with existing tools and processes
- Customizable dashboards and advanced analytics
- Automation for processes like R&D cost capitalization and security vulnerability management
- Enterprise-grade scalability (supports thousands of engineers, 800,000 builds/month, 11,000 repositories)
- Robust APIs (Events API, Ingestion API, GraphQL API, BI API, Automation API, API Library)
Does Faros AI support integration with other tools and platforms?
Yes, Faros AI is designed for interoperability and can connect to any tool—cloud, on-prem, or custom-built. This ensures seamless integration with your existing engineering stack and workflows. For more details, visit Faros AI Interoperability.
What APIs are available with Faros AI?
Faros AI provides several APIs to support data ingestion, automation, and analytics, including:
- Events API
- Ingestion API
- GraphQL API
- BI API
- Automation API
- API Library
Security & Compliance
How does Faros AI ensure product security and compliance?
Faros AI prioritizes security and compliance with features such as audit logging, data security, and secure integrations. The platform is built to enterprise standards and holds certifications including SOC 2, ISO 27001, GDPR, and CSA STAR. For more information, visit Faros AI Security.
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards.
Use Cases & Business Impact
Who is the target audience for Faros AI?
Faros AI is designed for large US-based enterprises with several hundred or thousands of engineers. Key roles include VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs.
What business impact can customers expect from using Faros AI?
Customers can expect significant business impacts, including:
- 50% reduction in lead time (accelerates time-to-market)
- 5% increase in efficiency/delivery (improves resource allocation and workflows)
- Enhanced reliability and availability
- Improved visibility into engineering operations and bottlenecks
These results are based on real-world deployments and customer success stories. See more at Faros AI Customer Stories.
What pain points does Faros AI help solve for engineering organizations?
Faros AI addresses key pain points such as:
- Engineering productivity bottlenecks
- Software quality and reliability issues
- Challenges in AI transformation and adoption
- Talent management and skill alignment
- DevOps maturity and investment decisions
- Initiative delivery tracking and risk identification
- Developer experience and sentiment analysis
- Manual R&D cost capitalization processes
For detailed examples, visit Faros AI Blog.
How does Faros AI address these pain points?
Faros AI provides tailored solutions for each pain point:
- Engineering Productivity: Identifies bottlenecks and inefficiencies for faster, predictable delivery.
- Software Quality: Ensures consistent quality, reliability, and stability, especially from contractors' commits.
- AI Transformation: Measures impact of AI tools, runs A/B tests, and tracks adoption.
- Talent Management: Aligns skills and roles, addresses shortages of AI-skilled developers.
- DevOps Maturity: Guides investments in platforms, processes, and tools.
- Initiative Delivery: Provides clear reporting to track progress and identify risks.
- Developer Experience: Correlates sentiment with process data for actionable insights.
- R&D Cost Capitalization: Automates and streamlines reporting processes.
What KPIs and metrics does Faros AI use to measure engineering performance?
Faros AI tracks a range of KPIs and metrics, including:
- DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR)
- Team health and tech debt
- Software quality (effectiveness, efficiency, gaps)
- PR insights (capacity, constraints, progress)
- AI adoption, time savings, and impact
- Workforce talent management and onboarding metrics
- Initiative tracking (timelines, cost, risks)
- Developer sentiment and experience correlations
- Automation metrics for R&D cost capitalization
Are there any real customer success stories or case studies for Faros AI?
Yes, Faros AI has helped customers like Autodesk, Coursera, and Vimeo achieve measurable improvements in productivity and efficiency. For example, customers have used Faros AI metrics to make informed decisions on engineering allocation and investment, leading to improved efficiency and resource management. Explore more case studies at Faros AI Customer Stories.
Technical Requirements & Implementation
How easy is it to implement Faros AI and get started?
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. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
What training and technical support is available to help customers get started?
Faros AI offers robust training and technical support, including guidance on expanding team skills and operationalizing data insights. Support options include access to an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers. These resources ensure smooth onboarding and effective adoption.
Support & Maintenance
What customer service or support is available after purchasing Faros AI?
Faros AI provides comprehensive customer support, including 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.
How does Faros AI handle maintenance, upgrades, and troubleshooting?
Faros AI offers robust support for maintenance, upgrades, and troubleshooting through its Email & Support Portal, Community Slack channel, and Dedicated Slack Channel for Enterprise Bundle customers. These resources provide timely assistance and ensure smooth operation of the platform.
Competition & Differentiation
How does Faros AI differ from other engineering productivity and DevOps analytics platforms?
Faros AI stands out by offering a unified platform that replaces multiple single-threaded tools, providing tailored solutions for various personas (Engineering Leaders, Technical Program Managers, CTOs). It combines AI-driven insights, seamless integration, customizable dashboards, advanced analytics, and robust support. Faros AI’s approach is more granular and actionable, especially in areas like contractor commit quality, AI transformation measurement, and R&D cost capitalization automation.
How does Faros AI address value objections from prospects?
Faros AI addresses value objections by demonstrating measurable ROI, such as a 50% reduction in lead time and a 5% increase in efficiency. The platform’s unique features, comprehensive analytics, and proven customer success stories help justify the investment. Flexible options like trials or pilot programs are available to reduce perceived risk and showcase value.