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§ Private Profile · San Francisco, CA, USA
AI-native engineering intelligence platform aggregates data for insights to optimize software engineering operations for enterprise teams.
Based in Sunnyvale, California, Faros AI provides an AI-native engineering intelligence platform that aggregates data from software development tools like GitHub and JIRA to optimize engineering operations and forecast delivery times. Operating on a SaaS subscription model, the company serves enterprise software engineering and DevOps teams, including Fortune 500 corporations, by identifying bottlenecks and analyzing the impact of automated workflows. The enterprise currently maintains a workforce of 35 employees and has raised a total of $36 million in venture capital funding, which includes a $20 million Series A financing round completed in June 2023. Faros AI is backed by prominent institutional investors such as Lobby Capital, SignalFire, and Salesforce Ventures, while also maintaining strategic technology partnerships with Microsoft and Globant. The software company was founded in 2019 by Vitaly Gordon, Shubha Nabar, and Matthew Tovbin.
Faros AI has raised $32.0M across 2 funding rounds.
Faros AI has raised $32.0M in total across 2 funding rounds.
Faros AI has raised $32.0M across 2 funding rounds. Most recently, it raised $20.0M Series A in June 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2023 | $20M Series A | Lobby Capital | SignalFire, Vulcan Capital, RON Pragides, Operator Collective, Salesforce Ventures | Announced |
| Mar 1, 2022 | $12M Seed | SignalFire, Global Founders Capital, Salesforce Ventures | Abstract Ventures, Kevin Hartz, AirAngels, ALT Capital, Alumni Ventures, AME Cloud Ventures, Banana Capital, B Capital Group, Earl Grey Capital, Essence VC, Founders Fund, Future Ventures, Jude Gomila Rolling Fund, Kearny Jackson, Menlo Ventures, Meritech Capital Partners, Mischief Venture Capital, Offline Ventures, Pioneer Fund, Redpoint Ventures, Stripe, Tekton Ventures, Theory Ventures, Vulcan Capital, Webb Investment Network, Ylem, Charles Zedlewski, DAN Wright, David Petersen, Eric Ries, Gordon Wintrob, Jeremy CAI, JON Runyan, Mathilde Collin, MAX Mullen, Paul Heydon, Paul Rios, RON Pragides, Ryan Carlson, Ryan Chan, Scott Belsky, Siqi Chen, Tony XU, Zack Kanter, Adam Gross, Frederic Kerrest, Maynard Webb | Announced |
Faros AI has raised $32.0M in total across 2 funding rounds.
Faros AI's investors include Lobby Capital, SignalFire, Vulcan Capital, Ron Pragides, Operator Collective, Salesforce Ventures, Global Founders Capital, Abstract Ventures, Kevin Hartz, AirAngels, Alt Capital, Alumni Ventures.
Faros AI is a software engineering intelligence platform that provides actionable insights, metrics, and automation to enhance engineering productivity, developer experience, and operational efficiency for enterprise technology organizations[1][2][3][4]. It builds a flexible, extensible data platform integrating tools like Jira, Jenkins, and GitHub to deliver a unified view of the software development lifecycle (SDLC), addressing challenges in measuring velocity, quality, team health, budgets, and talent allocation[1][2][5]. Serving customers such as Box, Coursera, Autodesk, Vimeo, and Firstbase, Faros AI solves the problem of fragmented engineering data that hinders data-driven decisions, enabling leaders to justify investments, optimize resources, and achieve delivery excellence with tens of millions in ROI potential[2][4][5][6]. Founded in 2019 and headquartered in San Mateo, California, the company has raised a Series A round and shows growth through enterprise adoptions, AI impact research on 10,000 developers, and features like the Franklin release for custom dashboards[2][4][8].
Faros AI emerged from frustrations at Salesforce, where the founding team—led by Vitaly Gordon and including experts behind Salesforce Einstein—observed sales and marketing teams using data effectively while engineering operated blindly on velocity, security, compliance, and costs[3][5]. Data compilation took weeks and became outdated, a pain point echoed across other organizations, prompting the 2019 launch in Sunnyvale (now San Mateo), California[2][5]. Early traction came from building over 50 connectors to engineering tools, an open-source extensibility layer, and a free Community Edition, alongside partnerships and real-world optimizations starting with AI impact analysis in October 2023[4][5]. Pivotal moments include 2025 research on the AI Productivity Paradox and Microsoft Azure adoption for scalable, compliant growth[4][7].
Faros AI rides the EngOps and AI-augmented engineering trend, where remote/hybrid work diffuses processes and AI tools like Copilot demand measurement of true impact amid the Productivity Paradox—its 2025 study first quantified how AI boosts speed but challenges quality tracking[4][5]. Timing aligns with enterprises seeking ROI on engineering investments amid cost pressures, as tech leaders prioritize data-driven transformation to solve global challenges via efficient software innovation[6]. Market forces like tool fragmentation and compliance needs favor its platform approach, influencing the ecosystem by setting standards for engineering intelligence, enabling faster high-quality delivery, and powering AI-aligned decisions at scale[1][7].
Faros AI is positioned to dominate as the copilot for enterprise EngOps, expanding from productivity metrics to full business-of-engineering orchestration with AI advancements and Azure-backed global scaling[4][6][7]. Trends like AI optimization, hybrid work, and budget scrutiny will amplify demand, potentially driving Series B funding or IPO paths as seen in pre-IPO tracking[9]. Its influence may evolve into industry benchmarks for AI ROI and delivery excellence, transforming instinct-led teams into data powerhouses—echoing its origin as the antidote to engineering's data blind spots[1][5].