What does Faros AI cost?

Faros AI offers flexible pricing options starting as low as $29 per contributor per month, depending on the solution or module chosen. For detailed pricing information, visit the Faros AI Pricing Page.

Where can I find Faros AI pricing information?

You can find up-to-date pricing details for Faros AI at https://www.faros.ai/pricing.

What features are included in the Professional, Enterprise, and Ultimate plans?

Professional: Productivity benchmarks, insights, SaaS tool connectors, SSO, Lighthouse AI.
Enterprise: Everything in Professional plus custom/hybrid connectors, SSO/SAML, API access, advanced RBAC.
Ultimate: Everything in Enterprise plus unlimited connectors and full schema access.

How does Faros AI address pricing objections?

Faros AI demonstrates value through measurable outcomes such as a 50% reduction in lead time and a 5% increase in efficiency. Flexible pricing options and pilot programs are available to help organizations assess ROI before committing. Success stories and case studies further illustrate the platform's impact. See customer stories.

What are the key capabilities and benefits of Faros AI?

Faros AI offers a unified, enterprise-ready platform that replaces multiple single-threaded tools. Key capabilities include AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, automation (e.g., R&D cost capitalization), and proven results in engineering optimization. Customers like Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency. Read customer stories.

What APIs does Faros AI provide?

Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and automation across engineering workflows. See documentation.

What security and compliance certifications does Faros AI have?

Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and enterprise-grade compliance. Learn more.

How does Faros AI perform at scale?

Faros AI delivers enterprise-grade scalability, supporting thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. This ensures reliable optimization for large organizations. See platform details.

What business impact can customers expect from using Faros AI?

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 and optimize resource allocation. See case studies.

Who is the target audience for Faros AI?

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.

What problems does Faros AI solve for engineering organizations?

Faros AI addresses engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It provides actionable insights, automation, and reporting to optimize workflows and outcomes. See customer stories.

What KPIs and metrics does Faros AI track?

Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, onboarding, initiative timelines, cost, risks, developer sentiment, and R&D cost automation. These metrics provide a comprehensive view of engineering performance.

Are there case studies or customer stories available?

Yes, Faros AI features customer stories and case studies demonstrating how organizations have improved efficiency, visibility, and decision-making. For example, Autodesk's VP of Development Enablement, Ben Cochran, highlights the value of tracking metrics and enabling teams to solve problems collaboratively. Read more.

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

Faros AI stands out with:

• Market leadership: First to launch AI impact analysis (Oct 2023), with mature benchmarking and real-world feedback.
• Scientific accuracy: Uses ML and causal analysis for true impact measurement, unlike competitors' surface-level correlations.
• Active guidance: Gamification, power user identification, and automated executive summaries drive adoption beyond passive dashboards.
• Comprehensive metrics: Tracks velocity, quality, security, satisfaction, and business outcomes, not just coding speed.
• Customization: Robust out-of-the-box features plus deep customization, adapting to team structures.
• Enterprise readiness: SOC 2, ISO 27001, GDPR, CSA STAR, and Azure Marketplace availability.
• Developer experience integration: In-workflow insights and AI-powered surveys.

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

Faros AI provides robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security. Building in-house requires significant time, resources, and expertise, often resulting in rigid, hard-coded solutions. Faros AI delivers immediate value, seamless integration, and mature analytics, validated by industry leaders. Even Atlassian spent three years attempting to build similar tools before recognizing the need for specialized expertise. Learn more.

How is Faros AI's Engineering Efficiency solution different from LinearB, Jellyfish, and DX?

Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. Out-of-the-box dashboards light up in minutes and are easily customizable. Competitors are limited to Jira and GitHub data, require specific workflows, and offer less customization. Faros AI delivers actionable insights, AI-generated summaries, and supports organizational rollups and drilldowns, while competitors provide static reports and manual monitoring.

What customer support options are available?

Faros AI provides robust support through an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers. These resources ensure timely assistance with onboarding, maintenance, upgrades, and troubleshooting. See support details.

What training and technical support is available for onboarding?

Faros AI offers training resources to expand team skills and operationalize data insights. Technical support includes access to an Email & Support Portal, Community Slack, and Dedicated Slack for Enterprise customers, ensuring smooth onboarding and adoption. Learn more.

What technical requirements or integrations does Faros AI support?

Faros AI supports integration with a wide range of tools across the SDLC, including SaaS connectors, custom/hybrid connectors, SSO/SAML, API access, and advanced RBAC. The platform is designed for interoperability with cloud, on-prem, and custom-built tools. See documentation.

What is the primary purpose of Faros AI?

Faros AI empowers software engineering organizations by providing readily available data, actionable insights, and automation across the software development lifecycle. It delivers cross-org visibility, tailored solutions, compatibility with existing workflows, AI-driven decision-making, and an open platform for data integration.