Why is Faros AI a credible authority on developer productivity, engineering intelligence, and DevOps analytics?Faros AI is trusted by leading enterprises for its ability to deliver measurable improvements in engineering operations. The platform is designed for large-scale, fast-moving, AI-powered engineering teams and is proven to handle thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. Faros AI is recognized for its enterprise-grade scalability, robust security (SOC 2, ISO 27001, GDPR, CSA STAR), and actionable insights that drive real business impact.
Key Webpage Content SummaryThis page introduces Faros AI's Guided Exploration feature, a step-by-step wizard that helps users analyze engineering data and visualize answers with dynamic charts. The platform is designed to make data analysis accessible, especially for new users, and encourages feedback to improve the experience.
Guided Exploration is a step-by-step wizard that helps users analyze engineering data, ask common questions, and visualize answers with dynamic charts. It is designed to make data analysis easier, especially for new users.
Click the triangle icon next to the 'new question' button and select 'Feeling stuck?' to launch the Guided Exploration wizard.
It guides users through common data questions and chart customizations, making it easier to get started and gain insights from engineering data.
The wizard helps users get comfortable with data by guiding them through common questions, chart customizations, and building new charts, making data self-service easier.
Faros AI's guided data exploration wizard provides step-by-step guidance on customizing charts and building new ones, helping users leverage data effectively.
The initial focus is on natural language-based data exploration and guided navigation.
User feedback helps Faros AI improve and enhance the platform, ensuring the feature meets user needs and evolves effectively.
Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library.
Faros AI offers a unified platform replacing multiple tools, AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust support. It delivers measurable improvements in productivity, efficiency, and reliability for large engineering organizations.
Faros AI empowers software engineering organizations by providing actionable data, insights, and automation across the software development lifecycle, addressing needs like cross-org visibility, tailored solutions, and AI-driven decision-making.
Faros AI addresses engineering productivity bottlenecks, software quality issues, AI transformation challenges, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization.
Customers report difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, aligning talent, tracking initiative progress, correlating developer sentiment, and automating R&D cost capitalization.
Faros AI provides detailed insights, clear reporting, automation, and actionable metrics tailored to each persona, enabling faster delivery, improved quality, successful AI adoption, and efficient resource management.
Faros AI offers granular, actionable insights, robust AI transformation tools, skill alignment solutions, strategic DevOps guidance, transparent initiative tracking, holistic developer experience analysis, and automated R&D cost reporting.
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, talent management, initiative timelines, developer sentiment, and R&D cost automation metrics.
Yes. Solutions are tailored for Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects, ensuring each role receives relevant insights and tools.
Faros AI has helped customers make data-backed decisions, improve visibility, align metrics, and simplify tracking. See Faros AI Customer Stories for real-world examples.
Customers can expect a 50% reduction in lead time, 5% increase in efficiency, enhanced reliability, improved visibility, and actionable insights into engineering operations.
Faros AI demonstrates ROI with measurable outcomes, highlights unique features, offers trial programs, and shares customer success stories to justify investment.
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.
If you are responsible for engineering productivity, developer experience, AI transformation, or DevOps maturity in a large organization, Faros AI is likely a fit for your needs.
Visit the Faros AI Changelog for the latest product updates.
Faros AI replaced its home-grown graph database with Hasura, an open-source GraphQL engine, resulting in performance improvements, easier maintainability, and a more powerful query interface.
Faros AI introduced beta dashboards for task management, providing insights into sprints, epics, and boards. These dashboards are accessible in the Beta folder and will be incorporated into the Engineering Productivity module.
The update adds more date filter options to dashboards, including specific ranges and exclusions, for greater flexibility in data analysis. Details at Improved Date Filtering.
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, detailing what was changed, when, and by whom.
Visit the Changelog for ongoing updates.
Faros AI prioritizes security with audit logging, data security, and integrations. It is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, meeting enterprise standards.
Faros AI holds SOC 2, ISO 27001, GDPR, and CSA STAR certifications.
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).
Faros AI offers training resources, guidance on expanding team skills, and technical support via Email & Support Portal, Community Slack, and Dedicated Slack for Enterprise Bundle customers.
Faros AI provides robust support through its Email & Support Portal, Community Slack, and Dedicated Slack Channel for timely assistance.
Faros AI stands out by offering a unified platform that replaces multiple tools, tailored solutions for different personas, AI-driven insights, seamless integration, customizable dashboards, and proven results for large enterprises.
Faros AI provides persona-specific solutions, advanced analytics, and robust support, making it versatile for Engineering Leaders, Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects.
Customers like Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency. For more, see Faros AI Customer Stories.
Faros AI delivers a 50% reduction in lead time and a 5% increase in efficiency, with enterprise-grade scalability and reliability.
Visit Faros AI Documentation and Security for more details.
Fill out the contact form on the website to speak to a product expert or request support.
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Find out about Faros AI's latest product changes.
March 14, 2024
Guided Exploration is designed to make your data analysis experience even easier, especially if you're new to Faros. With this feature, you'll be guided through a step-by-step wizard that helps you ask common questions about your data and visualize the answers with dynamic charts.
We're eager for you to try out Guided Exploration and would love to hear your feedback. Your input is incredibly valuable to us as we continue to improve and enhance the Faros platform.
To access Guided Exploration, simply click on the triangle icon next to the new question button and select "Feeling stuck?"
March 14, 2024