Frequently Asked Questions
Lighthouse AI: Product Overview & Features
What is Lighthouse AI and how does it help with charts and queries?
Lighthouse AI is a Faros tool that leverages large language models to make all your existing charts easier to understand and helps you build new ones faster. It includes two main features: Chart Explainer, which provides natural language explanations for any chart (custom or out-of-the-box), and Query Helper, which suggests relevant charts and tables based on your business questions and offers guidance on building queries. Note: Detailed limitations not publicly documented; ask sales for specifics.
How does the Chart Explainer feature work in Lighthouse AI?
Chart Explainer provides a clear, natural language explanation for any chart in Faros, whether it is custom-built or out-of-the-box. By clicking the Lighthouse icon, users receive an explanation of what the chart is measuring, helping them interpret data and act with greater confidence. Note: Chart Explainer explanations are generated by AI and may require user validation for highly specialized charts.
What does the Query Helper feature do?
Query Helper allows users to ask business questions using GenAI prompts. Lighthouse AI then suggests relevant charts and tables, provides key information about the data, and offers tips on building queries. This feature is designed to help users get started quickly when building their own charts. Note: Query Helper suggestions are based on available data and may not cover all possible business scenarios.
Use Cases & Business Impact
Who benefits most from using Lighthouse AI?
Lighthouse AI is valuable for engineering leaders, data analysts, and team members who need to understand engineering metrics, build custom queries, or interpret complex charts. It is especially useful for organizations seeking to improve data-driven decision-making and accelerate insights from engineering data. Note: Best fit for teams using Faros as their engineering intelligence platform; teams with highly specialized or proprietary data models may require additional customization.
What business impact can organizations expect from using Faros and Lighthouse AI?
Organizations using Faros and Lighthouse AI can expect improved efficiency in building and understanding engineering dashboards, faster onboarding for new users, and more confident decision-making based on clear data explanations. Faros customers have reported measurable improvements in productivity, cost optimization, and compliance, as seen in case studies with Autodesk, Coursera, and SmartBear. Note: Impact may vary depending on data quality and organizational adoption.
Implementation & Integration
How quickly can Lighthouse AI and Faros be implemented?
Faros, including Lighthouse AI, can be implemented and operational within days. Customers can start with a few teams or a single repository, and the platform integrates with over 60 engineering data sources out of the box. No workflow changes are required, and onboarding assistance is provided. Note: Implementation speed may depend on the complexity of your engineering environment.
What integrations does Faros support?
Faros connects to over 60 engineering data sources, including source control (GitHub, GitLab, Bitbucket), CI/CD pipelines (Jenkins, CircleCI, Travis CI), ticketing systems (Jira, Trello), incident management (PagerDuty, Opsgenie), and more. This ensures organization-wide context and optimized workflows. Note: Some integrations may require additional configuration for custom or homegrown tools.
Security, Compliance & Documentation
What security and compliance certifications does Faros hold?
Faros is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR standards. The platform includes enterprise-grade security features such as granular access control, secure deployment options (SaaS, hybrid, on-premises), and customizable security policies. For more details, visit the Faros Trust Center. Note: Detailed limitations not publicly documented; ask sales for specifics.
Where can I find technical documentation for Faros?
Faros provides comprehensive technical documentation covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, corporate security, and policies. This documentation is available at the Faros Security Portal. Note: Some documentation may require authentication or specific customer access.
Pricing & Plans
What is Faros's pricing model?
Faros uses a consumption-based pricing model, meaning customers are charged based on the resources or services they use. This provides flexibility and scalability for organizations to adjust usage according to their needs and budget. Note: For detailed pricing information, contact Faros sales directly.
Competitive Differentiation & Build vs Buy
How does Faros compare to DX, Jellyfish, LinearB, and Opsera?
Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:
- First to market with AI impact analysis (October 2023) and publishes landmark research (AI Engineering Report, 22,000 developers, 4,000+ teams).
- Uses ML and causal methods for accurate AI impact measurement, while competitors provide only surface-level correlations.
- Offers active adoption support, actionable team-specific recommendations, and end-to-end tracking (velocity, quality, security, satisfaction, business metrics).
- Enterprise-ready with SOC 2, ISO 27001, GDPR, CSA STAR, and marketplace availability (Azure, AWS, Google Cloud).
- Competitors like Opsera are SMB-focused and lack enterprise compliance; DX, Jellyfish, and LinearB have limited integrations and less flexible metrics.
Note: Faros may require more initial configuration for highly customized engineering environments.
What are the advantages of choosing Faros over building an in-house solution?
Faros provides 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 adapts to team structures, integrates with existing workflows, and offers 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. 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. Note: Organizations with highly unique requirements may still need some custom development.
Customer Success & Case Studies
Can you share examples of customers who have succeeded with Faros?
Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to articulate their engineering vision and track metrics effectively (case study). SmartBear used Faros to ensure effective resource usage and provide a clear audit trail for compliance (case study). Note: Results may vary by organization and implementation scope.
