Faros AI is a software engineering intelligence platform that empowers engineering organizations with unified data, actionable insights, and automation across the software development lifecycle. It provides a secure, enterprise-ready platform that replaces multiple single-threaded tools, offering AI-driven analytics, seamless integration with existing workflows, and proven results for large-scale enterprises. Learn more.
Lighthouse AI is the foundational artificial intelligence engine built into the Faros platform. It uses proprietary machine learning workflows to analyze key engineering metrics against 250+ factors, provides personalized insights, identifies performance inhibitors, and leverages large language models (LLMs) to summarize findings and recommend solutions. Source
Faros AI is trusted by global enterprises and has published landmark research, such as the AI Productivity Paradox Report, based on data from 10,000 developers across 1,200 teams. The platform is built by experts with backgrounds in machine learning and engineering leadership at companies like Salesforce, LinkedIn, and Microsoft. Faros AI is also recognized for its enterprise-grade security, compliance, and actionable insights. Read the report
'Faros' means 'lighthouse' in Greek, reflecting the company's mission to shine a light on engineering bottlenecks and guide teams through operational challenges. The name also aligns with the nautical theme common in developer tooling. Source
Lighthouse AI simplifies data analysis by allowing users to ask questions in plain English, eliminating the need for deep knowledge of complex data schemas. It automates the process of sifting through massive volumes of engineering data, identifying trends, highlighting anomalies, and suggesting areas of focus. Source
Lighthouse AI offers natural language data exploration, guided navigation, anomaly detection, trend identification, causal analysis, and actionable recommendations. It uses machine learning to correlate signals from disparate systems and alert teams to potential issues before they disrupt operations. Source
Lighthouse AI replaces static dashboards with AI-driven insights, highlighting trends and anomalies, and suggesting areas of focus. This ensures engineering teams know what to prioritize and when, streamlining decision-making and enabling proactive action. Source
Lighthouse AI pinpoints problem areas in sub-organizations, repositories, applications, or SDLC stages. It uses machine learning to analyze metrics, provides personalized insights, and recommends solutions, helping leaders confidently suggest improvement measures with the highest impact. Source
The Lighthouse AI Query Helper uses generative AI to enable engineering leaders to explore their data and understand team performance by asking questions in plain English, without needing to know complex data schemas. Source
The Lighthouse AI Chart Explainer is a feature that helps users understand complex engineering metrics and visualizations by providing AI-powered explanations and context. Learn more
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and automation for processes like R&D cost capitalization and security vulnerability management. It improves engineering speed, quality, resource allocation, and developer experience. Source
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration with a wide range of engineering systems. Documentation
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. Security details
Faros AI prioritizes data security and privacy with features like audit logging, data encryption, and secure integrations. It adheres to enterprise standards and holds multiple security certifications. Learn more
Faros AI tracks a wide range of metrics, including DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation. Handbook
Faros AI automates and streamlines R&D cost capitalization, saving time and reducing frustration, especially as engineering teams grow. Learn more
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. Source
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other leaders at large US-based enterprises with hundreds or thousands of engineers. Source
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality issues, challenges in AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. Source
Faros AI provides tools to measure the impact of AI tools, run A/B tests, and track adoption, enabling organizations to operationalize AI across the software development lifecycle and achieve measurable ROI. Learn more
Yes, Faros AI features customer stories and case studies demonstrating improved efficiency, resource management, and initiative tracking. Examples include Autodesk, Coursera, and Vimeo. Explore customer stories
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights, Technical Program Managers receive clear initiative tracking, Platform Engineering Leaders get strategic guidance, Developer Productivity Leaders access actionable sentiment and activity data, and CTOs/Senior Architects can measure AI tool impact. Source
Pain points arise from bottlenecks and inefficiencies, inconsistent software quality, difficulty measuring AI tool impact, skill misalignment, uncertainty in DevOps investments, lack of clear reporting, incomplete developer sentiment data, and manual R&D cost processes. Source
Faros AI stands out with mature AI impact analysis, landmark research, and proven real-world optimization. Unlike competitors, Faros AI offers causal analysis, active guidance, end-to-end tracking, enterprise-grade compliance, and flexible customization. Competitors often provide only surface-level correlations, limited integrations, and are less suited for large enterprises. Research
Faros AI delivers robust out-of-the-box features, deep customization, and proven scalability, saving organizations significant time and resources. Unlike in-house solutions, Faros AI adapts to team structures, integrates with existing workflows, and provides mature analytics and actionable insights, reducing risk and accelerating ROI. Source
Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate, actionable metrics tailored to each team. Competitors are often limited to Jira and GitHub data, require complex setup, and lack customization. Faros AI offers proactive intelligence, AI-generated recommendations, and enterprise-grade flexibility. Learn more
Faros AI is enterprise-ready with SOC 2, ISO 27001, GDPR, and CSA STAR compliance, robust integrations, flexible customization, and availability on major cloud marketplaces (Azure, AWS, Google Cloud). It supports large-scale deployments and complex organizational needs. Security
Faros AI integrates in-workflow insights, developer surveys, and AI-powered summarization, enabling organizations to correlate developer sentiment with process data for actionable improvements. Learn more
Faros AI is designed for enterprise-grade scalability, capable of handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. Source
Faros AI integrates with a wide range of engineering systems, including issue management, CI/CD, source control, incident management, cloud infrastructure, HR, and custom-built tools, providing a unified data foundation. Source
Faros AI offers out-of-the-box dashboards that can be set up in minutes, with easy customization and no need to restructure your toolchain. This enables rapid time-to-value for engineering organizations. Learn more
Faros AI provides comprehensive documentation, customer support, and access to a community of users. Customers can also request demos and personalized onboarding. Documentation
The Faros AI blog covers best practices, customer stories, product updates, engineering productivity, DORA metrics, developer experience, and research reports such as the AI Productivity Paradox. Visit the blog
News and product announcements are available in the News section of the Faros AI blog. View news
Guides and best practices are available in the Guides category of the Faros AI blog, offering practical advice for engineering leaders and teams. Access guides
Yes, Faros AI publishes research reports such as the AI Productivity Paradox Report, which analyzes the impact of AI coding assistants on developer output and company productivity. Read the report
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
Today we are very excited to reveal Lighthouse AI - the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of the vast amounts of data that they produce every single day. Learn more...
Three years ago, my co-founders and I started Faros AI, with the vision of making every company a world class software company. Our background was in building machine learning products and engineering teams, and we were motivated by our frustration with the complete black-box that is engineering operations today.
For context, we were developing the Einstein Machine Learning Platform at Salesforce. We found that while we were helping Salesforce customers harness AI to improve business outcomes, our visibility and insight into our own engineering processes was sorely lacking. And it wasn’t just us. Most sizable software engineering organizations today are largely flying blind.
Faros means lighthouse in Greek, and we called our company Faros AI, inspired by an ongoing nautical theme for Dev tooling (Docker/Kubernetes etc.), as well as the vision of helping engineering teams smoothly navigate troubled waters by shining a light on their operational bottlenecks and hotspots.
Now, there’s two possible ways to build an AI company. You either build the AI, and then look for data. Or you start with the data, and then build the necessary AI. We chose the latter:
Software engineering organizations typically use many dozens of systems to manage their engineering processes — from issue management, to continuous integration and delivery, to cloud infrastructure operations, budgeting, procurement, HR operations, and more. For the most part, none of these systems talk to each other or to any central system, yet many of the questions that engineering organizations need to answer involve querying data across these different sources.
Our focus since inception has been to build out a solid data foundation for all this data, with integrations to every engineering system out there - whether vendor or home-grown; standardization of a single, connected data schema to represent the entire SDLC; and layering of capabilities for cataloging, analytics, and automation.
But the volume of data flowing through engineering organizations is simply massive, and the sheer number of metrics and insights to be derived from it can be overwhelming. With the advent of large language models (LLMs), there’s never been a better time to harness AI to solve this problem. Today we are very excited to reveal Lighthouse AI - the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of the vast amounts of data that they produce every single day.
The initial push in our AI strategy is on the following fronts:
The AI revolution has only just begun. We anticipate that every aspect of software engineering is going to be transformed by AI in the next five years, and at Faros, we are making sure that operational intelligence keeps pace, allowing engineering organizations to make that transition with confidence.
Interested in learning more? Request a demo and we will be happy to set up time to walk you through the platform and Lighthouse AI.
Shubha Nabar is the Co-founder of Faros AI. Prior to Faros AI, she was part of the founding team of the Einstein machine learning platform at Salesforce and built data products and data science teams at LinkedIn and Microsoft.
Global enterprises trust Faros AI to accelerate their engineering operations. Give us 30 minutes of your time and see it for yourself.
