Faros AI is an AI-powered software engineering intelligence platform that helps enterprises improve engineering productivity, maximize ROI from engineering budgets, and gain actionable insights across the software development lifecycle (SDLC). It provides trustworthy, evergreen data and metrics to drive better decision-making for engineering leaders and teams. Learn more.
Faros AI was founded in 2019 by Vitaly Gordon (former VP of Engineering at Salesforce and founder of Salesforce Einstein), Shubha Nabar (PhD from Stanford, Forbes Top 20 Women in AI), and Matthew Tovbin (co-creator of the AutoML library for Einstein). The team brings deep expertise in AI, machine learning, and enterprise software. Source
In June 2023, Faros AI raised $20 million in Series-A financing, led by David Hornik of Lobby Capital, with participation from SignalFire, Operator Collective, and Salesforce Ventures. Read the announcement
Faros AI is backed by leading investors including Lobby Capital, SignalFire, Operator Collective, Salesforce Ventures, and GFC (Global Founders Capital). Source
Faros AI is trusted by leading enterprises such as Autodesk, Coursera, Discord, and Vimeo. Source
Faros AI envisions a future where every aspect of software engineering is transformed by AI, enabling organizations to make data-driven decisions and confidently adopt new technologies. The company is committed to providing operational intelligence that keeps pace with rapid AI advancements. Source
Faros AI offers a comprehensive platform with solutions for Engineering Efficiency, AI Transformation, and Delivery Excellence. These include foundational metrics, AI-driven insights, automations, initiative tracking, and tools for code quality and security. Learn more
Key features include cross-org visibility, tailored analytics, AI-driven insights, workflow automation, seamless integrations, enterprise-grade security, customizable dashboards, and unified data models. Benefits include improved productivity, quality, and business impact. Source
Faros AI integrates with a wide range of tools, including Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom/homegrown systems. See full list
Faros AI dashboards light up in minutes after connecting data sources, and customers have reported achieving value in just one day during proof of concept (POC). Source
Faros AI provides resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, technical guides for code token limits, and blog posts on integration options. Access resources
Faros AI offers metrics for engineering productivity (cycle time, PR velocity), software quality (code coverage, CFR), AI impact (AI-generated code %, adoption), talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. See details
Yes, Faros AI provides robust out-of-the-box features and deep customization, allowing organizations to tailor metrics, dashboards, and automations to their unique team structures and workflows. Source
Faros AI supports SaaS, hybrid, and on-premises deployment models, ensuring flexibility and control for enterprises with diverse security and compliance needs. Learn more
Customers can achieve up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (in as little as one day), optimized ROI from AI tools, improved strategic decision-making, scalable growth, and reduced operational costs. Source
Faros AI is designed for engineering leaders (VPs, CTOs), platform engineering owners, developer productivity and experience owners, TPMs, data analysts, architects, and people leaders at large enterprises with hundreds or thousands of engineers. Source
Faros AI addresses bottlenecks in engineering productivity, inconsistent software quality, challenges in AI tool adoption and measurement, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. Source
Faros AI tailors solutions for engineering leaders (insights into bottlenecks), program managers (agile health tracking), developers (improved experience), finance teams (R&D cost reporting), AI transformation leaders (AI tool impact measurement), and DevOps teams (maturity and quality improvements). Source
Yes, Faros AI features case studies such as SmartBear's use of the platform to scale software engineering and drive business outcomes, as well as stories from global industrial technology leaders and other enterprises. See customer stories
Customers have reported tripling their customer base, quadrupling ARR, and achieving measurable improvements in engineering throughput, predictability, and customer satisfaction. Source
Faros AI provides tools to measure the impact of AI coding assistants like GitHub Copilot, run A/B tests, track adoption, and analyze ROI, ensuring successful AI transformation. Source
Pain points arise from bottlenecks and inefficiencies in processes, inconsistent quality (especially from contractors), difficulty measuring AI tool impact, misaligned skills, uncertainty in DevOps investments, lack of objective reporting, incomplete developer experience data, and manual R&D cost processes. Source
Faros AI stands out with mature AI impact analysis, landmark research (AI Engineering Report), causal analytics, active adoption support, end-to-end tracking, deep customization, enterprise readiness, and developer experience integration. Competitors often offer limited metrics, surface-level correlations, and less flexibility. See comparison
Faros AI delivers robust features, deep customization, proven scalability, and immediate value, saving organizations the time and resources required for custom builds. Its mature analytics, actionable insights, and enterprise-grade security reduce risk and accelerate ROI compared to lengthy internal development projects. Source
Faros AI integrates with the entire SDLC, provides accurate metrics from the full lifecycle of code changes, supports custom workflows, and delivers actionable, team-specific insights. Competitors often rely on limited data sources, proxy metrics, and static dashboards. See details
Faros AI's leadership team built Salesforce Einstein, and the company is recognized for landmark research (AI Engineering Report), industry awards (Microsoft Partner of the Year 2025), and a proven track record with large enterprises. Its platform is trusted by industry leaders and backed by top investors. Source
Faros AI uses machine learning and causal analysis to isolate the true impact of AI tools, providing precision analytics and avoiding misleading surface-level correlations common in competitor platforms. Source
Faros AI combines the flexibility of building your own platform with the speed and reliability of a ready-made solution, offering rapid implementation, full customization, and robust out-of-the-box features. Source
Faros AI is enterprise-ready, supporting SOC 2, ISO 27001, GDPR, and CSA STAR compliance, and is available on Azure, AWS, and Google Cloud Marketplaces. Some competitors, like Opsera, are SMB-only and lack enterprise-grade features. Source
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud best practices. See trust center
Faros AI anonymizes data in ROI dashboards, supports secure deployment modes, and complies with export laws and privacy regulations in the US, EU, and other jurisdictions. Source
Faros AI partners with innovative companies like Globant to enable engineering operations at scale. Partnerships support customers across industries and geographies. See partners
In December 2024, Globant and Faros AI partnered to drive faster and more efficient agentic AI-based projects, introducing new methods for measuring team performance and business impact in software development. Read announcement
Faros AI is available in the Azure Marketplace, enabling procurement with Microsoft Azure Consumption Commitment (MACC) and empowering enterprises to optimize engineering with AI-driven solutions. Source
The Faros AI blog covers AI-driven engineering productivity, developer experience, security, platform engineering, customer stories, research, product releases, and best practices for AI tool adoption and measurement. Explore blog
Customer stories and case studies are available in the blog's customer stories section, featuring real-world examples of how enterprises use Faros AI to improve engineering outcomes. See stories
Recent highlights include Faros AI's availability on Google Cloud Marketplace, new product releases for engineering bottleneck detection, recognition as Microsoft Partner of the Year 2025, and industry research on AI coding assistants. See news
Faros AI publishes landmark research such as the AI Engineering Report (2026) and the AI Productivity Paradox (2025), analyzing data from 22,000 developers across 4,000 teams to reveal trends in productivity, quality, and business risk. Read the report
You can request a demo or contact the Faros AI team directly via the contact page to learn more about the platform and its latest advancements.
This page wast last updated on 12/12/2025 .
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
I am delighted to announce that we have raised $20M in Series-A financing, led by one of the most successful VC investors in Silicon Valley and the first board member in iconic companies like Gitlab, Splunk, Fastly, and Bill.com, David Hornik of Lobby Capital...
Last year was a record-breaking year of growth for us at Faros AI. I couldn’t be more proud of what we have achieved as a team last year. Here are some quick highlights that our team experienced, despite the challenging macroeconomic climate.
As the saying goes, we started as fast as we could and slowly but surely picked up the pace.
As a result, I am delighted to announce that we have raised $20M in Series-A financing, led by one of the most successful VC investors in Silicon Valley and the first board member in iconic companies like Gitlab, Splunk, Fastly, and Bill.com, David Hornik of Lobby Capital, along with participation from SignalFire, Operator Collective, and Salesforce Ventures.
AI is in the roots of the company from our collective background building Salesforce Einstein and in the name of the company since day one, so I’m also thrilled to announce Lighthouse AI, an artificial intelligence engine, designed to pave the way for a series of AI-powered features to help make sense of the vast amounts of data that engineering organizations generate every day. With Lighthouse AI, users will be able to talk to the Faros platform in natural language for exploratory data analyses, making every user a power user.
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.
I’d encourage you to learn more - Request a demo and we will be happy to set up time to walk you through the latest advancements in our “AI-Native” Engineering Intelligence Platform.
Vitaly Gordon is the Co-founder & CEO of Faros. Prior to Faros, Vitaly was VP of Engineering at Salesforce and the founder of Salesforce Einstein, the world's first comprehensive enterprise AI platform.
Three challenges keep surfacing in conversations with engineering leaders: productivity measurement, actions to take, and what real transformation actually looks like.
