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Faros AI

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uuid00006gl

Namestring
Faros AI
Legal namestring
Faros AI
Websiteurl
faros.ai
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Faros AI is a San Francisco-based enterprise software company founded in 2019 that provides an AI-driven engineering intelligence platform connecting data across the software development lifecycle. The platform ingests telemetry from 100+ SDLC tools—including Jira, GitHub, GitLab, CI/CD systems, incident management, and AI coding assistants like GitHub Copilot, Cursor, Claude, Codex, Devin, and Windsurf—through cloud connectors, a Source CLI, an Events CLI, and webhooks. It builds a unified knowledge graph (the Context Engine) that powers Lighthouse AI, the company's foundational AI engine, delivering AI summaries, causal root-cause analysis, Human-vs-GenAI code analysis, natural-language query, and an expert chatbot surfaced in Slack, Teams, and IDEs. Core product modules include Token Intelligence (tracing AI spend to outcomes), AI Transformation (measuring AI productivity impact via the proprietary GAINS framework across 10 dimensions), Context for AI Agents, Developer Productivity, and Predictable Roadmap Delivery.

The company sells enterprise SaaS subscriptions across three tiers (Professional, Enterprise, Ultimate), each gated behind a demo request with quote-based annual pricing. Distribution combines direct enterprise field sales with marketplace listings on Microsoft Azure (procurable via MACC since February 2025) and Google Cloud Marketplace (since December 2025), plus channel partnerships with Globant (engineering performance measurement) and McKinsey (Agile360 methodology). Faros also maintains Faros Community Edition, an open-source EngOps platform on GitHub that supports developer adoption and community building.

Faros serves large enterprise engineering organizations with thousands of developers—named customers include Autodesk, Coursera, SmartBear, Vimeo, Riskified, a Fortune 100 bank, a top-5 US bank, a leading identity security provider, and an industrial technology leader with 40,000+ engineers—targeting CTOs/VPs of Engineering, Chief AI Officers, DevEx and Platform Engineering leaders, and Technical Program Managers. The company has raised approximately $36 million across a $16 million seed (March 2022, led by SignalFire with Salesforce Ventures, Global Founders Capital, and Operator Collective) and a $20 million Series A (June 2023, led by Lobby Capital's David Hornik with SignalFire, Operator Collective, and Salesforce Ventures), maintains SOC 2, ISO 27001, and GDPR certifications, and was named Microsoft's 2025 Partner of the Year for Startups.

Short descriptiontext

Faros AI provides an AI-driven engineering intelligence platform unifying data from 100+ SDLC tools, helping engineering leaders measure productivity, AI tool ROI, and delivery performance. It serves large enterprises like Autodesk, Coursera, and Fortune 100 banks via enterprise SaaS subscriptions.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
engineering intelligence platform, developer productivity analytics, AI coding ROI metrics, DORA metrics software, engineering operations platform
Industry2 codes
1IT Operations Management (ITOM) Platforms
CodeHDAEALACPrimaryYes
2LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG)
CodeHDAEANADPrimaryNo
NAICS code5 codes
  • Software Publishers513210
  • Software Publishers5132
  • Software Publishers51321
  • Custom Computer Programming Services541511
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Integrated Systems Design7373
Product category
Engineering Intelligence Platform
Social media profiles1 record
GTM motion5 records

Each record includes

Type, Description, Source

Revenue model2 records
1Enterprise SaaS Subscriptions
TypeSubscription Recurring
Description

Tiered subscription SaaS revenue across three plans (Professional, Enterprise, Ultimate). Pricing is quote-based with no publicly disclosed price points; all tiers require a demo request. Enterprise and Ultimate tiers include advanced features such as hybrid/on-prem deployment, SSO/SAML, API access, advanced RBAC, unlimited connectors, and full schema access.

faros.ai
2AI Productivity Consulting (Professional tier)
TypeProfessional Services
Description

Included in the Professional tier, this bundled service provides an AI productivity consultant as part of the subscription, suggesting implementation and advisory services embedded in the base offering.

faros.ai
Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components1 value
Personnel
Pricing details3 tiers
1Professional — SaaS tool connectors, SSO, AI productivity consultant; entry tier for productivity benchmarks and insights.
ModelSubscriptionBilling cadenceAnnual
Notes

Includes SaaS tool connectors, SSO, and an AI productivity consultant. Quote-based / not publicly disclosed.

faros.ai
2Enterprise — Professional + custom/hybrid connectors, SSO/SAML, API access, advanced RBAC.
ModelSubscriptionBilling cadenceAnnual
Notes

Adds custom and hybrid connectors, SSO/SAML, API access, and advanced RBAC for optimizing developer experience and software delivery. Quote-based / not publicly disclosed.

faros.ai
3Ultimate — Enterprise + unlimited connectors, full schema access.
ModelSubscriptionBilling cadenceAnnual
Notes

Adds unlimited connectors and full schema access to fuel strategic processes, decisions, and investments with engineering data. Quote-based / not publicly disclosed.

faros.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 3 records shown
1Lighthouse AI
Description

Foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of large volumes of engineering data. Powers AI-driven diagnostics, summaries, and recommendations within the platform.

faros.ai
+2 more records
Core offering1 text field

Faros AI is an AI-driven engineering intelligence platform that connects data from 100+ SDLC tools (Jira, GitHub, GitLab, CI/CD, incident management, AI coding tools) into a unified data model. It delivers AI-powered analytics for developer productivity, DORA metrics, AI coding tool ROI measurement, token spend tracking, and engineering operations optimization for large enterprise engineering organizations. The platform is sold as tiered SaaS subscriptions (Professional, Enterprise, Ultimate), all gated behind an enterprise demo request.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 10 values shown
  • 26% faster PRs within six weeks
+9 more records
Product overview1 text field

Faros AI offers a single unified engineering intelligence platform (the Faros Platform) built on top of a foundational AI engine called Lighthouse AI. The platform is organized into five named capabilities—Token Intelligence, AI Transformation, Context for AI Agents, Developer Productivity (Engineering Efficiency), and Predictable Roadmap Delivery (Delivery Excellence)—which combine to help engineering organizations maximize outcomes rather than tokens. Lighthouse AI powers the AI summaries, causal root-cause analysis, expert chatbot, Human vs. GenAI code analysis, and natural-language query generation that span all capabilities; the GAINS framework, introduced with the Hubble Release, provides the AI maturity benchmarking structure used by AI Transformation. Faros also publishes Faros Community Edition (Faros CE), an open-source EngOps platform providing ELT, APIs, BI, and automation for engineering operations data. The commercial platform is sold in Professional, Enterprise, and Ultimate tiers, with API access, custom/hybrid connectors, and advanced RBAC available in higher tiers, and an MCP server plus expanded AI tool coverage delivered via the April 2026 AI Engineering Metrics release.

Product and service3 records
1Faros Platform
CategoryCore platform
Description

Unified engineering intelligence platform that connects engineering data across the SDLC into a single schema, with enterprise-grade security, AI-powered insights, interoperability with the entire toolchain, deep customization, and team/service catalogs. Sold in Professional, Enterprise, and Ultimate subscription tiers, all requiring a demo request.

2Token Intelligence
CategoryPlatform module
Description

Capability that traces every AI token to the work it produced, classifies spend by efficiency across teams, tools, and models, and maps token consumption to engineering outcomes so engineering, finance, and leadership can decide which AI tools and models to keep, scope, or cut.

3Faros Community Edition (Faros CE)
CategoryOpen-source product
Description

Free, open-source EngOps platform available on GitHub providing ELT, APIs, BI, and automation for engineering operations data; serves as a developer adoption and community-building tool for the Faros commercial platform.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierMarketplace Distribution PartnerTypeChannel Partner/ Reseller/ DistributorAnnounced on2025-12-09
Description

Faros is now available on Google Cloud Marketplace, enabling enterprises to unify engineering data, uncover friction, and act on insights while using Google Cloud billing, governance, and infrastructure.

Strategic tierFlagship Strategic PartnerTypeStrategic or Co-development PartnerAnnounced on2025-02-19
Description

Multi-dimensional partnership including Azure Marketplace availability (procurable via Microsoft Azure Consumption Commitment / MACC), Faros + Microsoft product integrations, recognition as Microsoft for Startups 2025 Partner of the Year, and showcase at Microsoft Build 2026 and Microsoft Ignite. Faros is 'fully integrated with Microsoft and GitHub products.'

Strategic tierStrategic Gtm PartnerTypeStrategic or Co-development PartnerAnnounced on2024-12-11
Description

Globant and Faros announced a partnership to drive faster and more efficient agentic AI-based projects. Through the collaboration, Globant introduces an innovative method for measuring and extracting insights about team performance and impact on business results, particularly within the software development life cycle.

Strategic tierConsulting Integration PartnerTypeImplementation/ SI/ Consulting Partner
Description

Faros strengthens McKinsey's Agile360 methodology (published Aug 27, 2022). Vitaly Gordon (Faros CEO) and Martin Harrysson (McKinsey senior partner) co-presented a webinar titled 'From AI Spend to AI Outcomes: What the Data Says,' indicating close consulting-methodology integration.

Strategic tierCore Technology IntegrationTypeTechnology or Integration
Description

Native GitHub integration for ingesting source control and PR data, and integrated support for measuring GitHub Copilot adoption, usage, and ROI. Faros's Einstein release (Oct 2024) was specifically positioned as 'Super-Intelligence for AI Copilot Adoption.' GitHub and Microsoft are jointly marketed with Faros on Azure.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

LinearB is a developer productivity and engineering metrics platform targeting engineering leaders with workflow automation, DORA metrics, and AI-driven insights. It competes directly with Faros's Developer Productivity and Delivery Excellence capabilities for the same CTO/VP buyer.

TypeBroad incumbent
Description

GitLab is a comprehensive DevOps platform with built-in Value Stream Analytics, DORA metrics, and AI-impact reporting. It is a broad incumbent that offers overlapping engineering intelligence capabilities within a wider single-platform portfolio.

TypeBroad incumbent
Description

GitHub, owned by Microsoft, provides Copilot adoption analytics and engineering insights natively within its platform. It is a broad incumbent with overlapping engineering analytics capabilities embedded directly into source control, and is also a Faros integration partner.

TypeDirect peer
Description

Waydev provides engineering analytics platforms that measure developer productivity across software engineering teams using PRs, commits, and engineering data. It competes with Faros's Developer Productivity and AI Transformation capabilities for engineering leadership buyers.

TypeDirect peer
Description

Jellyfish is an engineering management platform that connects work to business outcomes and provides resource allocation and investment strategy analytics. It directly overlaps Faros's Engineering Efficiency and Investment Strategy modules for the same enterprise engineering buyer.

TypeBroad incumbent
Description

Atlassian is a large, established collaboration and software development platform whose reported $1B acquisition of DX directly competes with Faros in engineering intelligence. It bundles competing capabilities into Jira and offers a much broader portfolio (Jira, Confluence, Bitbucket, Trello) to enterprise buyers.

TypeEmerging player
Description

Haystack provides engineering intelligence focused on developer experience and team performance analytics. It is an emerging player with partial overlap to Faros's Developer Productivity and DORA Metrics capabilities for engineering leaders.

TypeEmerging player
Description

Sleuth is a DORA metrics and engineering effectiveness platform that focuses on deployment frequency, lead time, and change failure rate. It overlaps Faros's DORA Metrics and Delivery Excellence capabilities, with particular strength in continuous delivery tracking.

TypeEmerging player
Description

Allstacks provides engineering value stream intelligence and predictive analytics for software delivery. It is an emerging player with overlapping capabilities to Faros's Delivery Excellence and AI Transformation modules for engineering leaders.

TypeDirect peer
Description

Swarmia combines developer experience surveys with system telemetry and DORA metrics to help engineering organizations improve flow. It directly competes with Faros's Developer Experience and DORA Metrics capabilities for DevEx and platform engineering leaders.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration13 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance3 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Faros AI

Engineering Intelligence Platformfaros.ai

Faros AI provides an AI-driven engineering intelligence platform unifying data from 100+ SDLC tools, helping engineering leaders measure productivity, AI tool ROI, and delivery performance. It serves large enterprises like Autodesk, Coursera, and Fortune 100 banks via enterprise SaaS subscriptions.

What Faros AI does

Faros AI is a San Francisco-based enterprise software company founded in 2019 that provides an AI-driven engineering intelligence platform connecting data across the software development lifecycle. The platform ingests telemetry from 100+ SDLC tools—including Jira, GitHub, GitLab, CI/CD systems, incident management, and AI coding assistants like GitHub Copilot, Cursor, Claude, Codex, Devin, and Windsurf—through cloud connectors, a Source CLI, an Events CLI, and webhooks. It builds a unified knowledge graph (the Context Engine) that powers Lighthouse AI, the company's foundational AI engine, delivering AI summaries, causal root-cause analysis, Human-vs-GenAI code analysis, natural-language query, and an expert chatbot surfaced in Slack, Teams, and IDEs. Core product modules include Token Intelligence (tracing AI spend to outcomes), AI Transformation (measuring AI productivity impact via the proprietary GAINS framework across 10 dimensions), Context for AI Agents, Developer Productivity, and Predictable Roadmap Delivery.

The company sells enterprise SaaS subscriptions across three tiers (Professional, Enterprise, Ultimate), each gated behind a demo request with quote-based annual pricing. Distribution combines direct enterprise field sales with marketplace listings on Microsoft Azure (procurable via MACC since February 2025) and Google Cloud Marketplace (since December 2025), plus channel partnerships with Globant (engineering performance measurement) and McKinsey (Agile360 methodology). Faros also maintains Faros Community Edition, an open-source EngOps platform on GitHub that supports developer adoption and community building.

Faros serves large enterprise engineering organizations with thousands of developers—named customers include Autodesk, Coursera, SmartBear, Vimeo, Riskified, a Fortune 100 bank, a top-5 US bank, a leading identity security provider, and an industrial technology leader with 40,000+ engineers—targeting CTOs/VPs of Engineering, Chief AI Officers, DevEx and Platform Engineering leaders, and Technical Program Managers. The company has raised approximately $36 million across a $16 million seed (March 2022, led by SignalFire with Salesforce Ventures, Global Founders Capital, and Operator Collective) and a $20 million Series A (June 2023, led by Lobby Capital's David Hornik with SignalFire, Operator Collective, and Salesforce Ventures), maintains SOC 2, ISO 27001, and GDPR certifications, and was named Microsoft's 2025 Partner of the Year for Startups.

Faros AI firmographics

Firmographics
Name
Faros AI
Legal name
Faros AI
Website
https://faros.ai
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
51–100 employees
Short description
Faros AI provides an AI-driven engineering intelligence platform unifying data from 100+ SDLC tools, helping engineering leaders measure productivity, AI tool ROI, and delivery performance. It serves large enterprises like Autodesk, Coursera, and Fortune 100 banks via enterprise SaaS subscriptions.
Ownership category
akta.pro rank

Faros AI industry classification

Industry
Product category
Engineering Intelligence Platform
NAICS
Software Publishers (513210), Software Publishers (5132), Software Publishers (51321), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
IT Operations Management (ITOM) Platforms (HDAEALAC)
akta.pro secondary industry
LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)

Keywords

  • Engineering intelligence platform
  • Developer productivity analytics
  • AI coding ROI metrics
  • DORA metrics software
  • Engineering operations platform

Where Faros AI is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Markets served

Faros AI business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel

Revenue model

  1. Enterprise SaaS Subscriptions: Tiered subscription SaaS revenue across three plans (Professional, Enterprise, Ultimate). Pricing is quote-based with no publicly disclosed price points; all tiers require a demo request. Enterprise and Ultimate tiers include advanced features such as hybrid/on-prem deployment, SSO/SAML, API access, advanced RBAC, unlimited connectors, and full schema access.
  2. AI Productivity Consulting (Professional tier): Included in the Professional tier, this bundled service provides an AI productivity consultant as part of the subscription, suggesting implementation and advisory services embedded in the base offering.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualProfessional — SaaS tool connectors, SSO, AI productivity consultant; entry tier for productivity benchmarks and insights.
SubscriptionAnnualEnterprise — Professional + custom/hybrid connectors, SSO/SAML, API access, advanced RBAC.
SubscriptionAnnualUltimate — Enterprise + unlimited connectors, full schema access.

Go-to-market motion5 records

Distribution channels4 records

Marketing channels10 records

Faros AI product offering

Product offering

Core offering

Faros AI is an AI-driven engineering intelligence platform that connects data from 100+ SDLC tools (Jira, GitHub, GitLab, CI/CD, incident management, AI coding tools) into a unified data model. It delivers AI-powered analytics for developer productivity, DORA metrics, AI coding tool ROI measurement, token spend tracking, and engineering operations optimization for large enterprise engineering organizations. The platform is sold as tiered SaaS subscriptions (Professional, Enterprise, Ultimate), all gated behind an enterprise demo request.

Product overview

Faros AI offers a single unified engineering intelligence platform (the Faros Platform) built on top of a foundational AI engine called Lighthouse AI. The platform is organized into five named capabilities—Token Intelligence, AI Transformation, Context for AI Agents, Developer Productivity (Engineering Efficiency), and Predictable Roadmap Delivery (Delivery Excellence)—which combine to help engineering organizations maximize outcomes rather than tokens. Lighthouse AI powers the AI summaries, causal root-cause analysis, expert chatbot, Human vs. GenAI code analysis, and natural-language query generation that span all capabilities; the GAINS framework, introduced with the Hubble Release, provides the AI maturity benchmarking structure used by AI Transformation. Faros also publishes Faros Community Edition (Faros CE), an open-source EngOps platform providing ELT, APIs, BI, and automation for engineering operations data. The commercial platform is sold in Professional, Enterprise, and Ultimate tiers, with API access, custom/hybrid connectors, and advanced RBAC available in higher tiers, and an MCP server plus expanded AI tool coverage delivered via the April 2026 AI Engineering Metrics release.

Differentiator

Problem solved

Functional benefit

Brands

  • Lighthouse AI: Foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of large volumes of engineering data. Powers AI-driven diagnostics, summaries, and recommendations within the platform.
  • Faros Community Edition (Faros CE)
  • Token Intelligence

Products and services

  • Faros Platform Unified engineering intelligence platform that connects engineering data across the SDLC into a single schema, with enterprise-grade security, AI-powered insights, interoperability with the entire toolchain, deep customization, and team/service catalogs. Sold in Professional, Enterprise, and Ultimate subscription tiers, all requiring a demo request.
  • Token Intelligence Capability that traces every AI token to the work it produced, classifies spend by efficiency across teams, tools, and models, and maps token consumption to engineering outcomes so engineering, finance, and leadership can decide which AI tools and models to keep, scope, or cut.
  • Faros Community Edition (Faros CE) Free, open-source EngOps platform available on GitHub providing ELT, APIs, BI, and automation for engineering operations data; serves as a developer adoption and community-building tool for the Faros commercial platform.

Quantifiable outcome

  • 26% faster PRs within six weeks
  • +9 more outcomes

Companies that use Faros AI

Customer profile

Named customers5 records

Segments5 records

Ideal customer profiles3 records

Faros AI technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration13 records

AI capability11 records

Feature8 records

Faros AI partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered marketplace distribution partner, flagship strategic partner, strategic gtm partner, consulting integration partner and core technology integration.

  • Google Cloudmarketplace distribution partnerChannel Partner/ Reseller/ Distributor · 9 December 2025Faros is now available on Google Cloud Marketplace, enabling enterprises to unify engineering data, uncover friction, and act on insights while using Google Cloud billing, governance, and infrastructure.
  • Microsoftflagship strategic partnerStrategic or Co-development Partner · 19 February 2025Multi-dimensional partnership including Azure Marketplace availability (procurable via Microsoft Azure Consumption Commitment / MACC), Faros + Microsoft product integrations, recognition as Microsoft for Startups 2025 Partner of the Year, and showcase at Microsoft Build 2026 and Microsoft Ignite. Faros is 'fully integrated with Microsoft and GitHub products.'
  • Globantstrategic gtm partnerStrategic or Co-development Partner · 11 December 2024Globant and Faros announced a partnership to drive faster and more efficient agentic AI-based projects. Through the collaboration, Globant introduces an innovative method for measuring and extracting insights about team performance and impact on business results, particularly within the software development life cycle.
  • McKinsey & Companyconsulting integration partnerImplementation/ SI/ Consulting PartnerFaros strengthens McKinsey's Agile360 methodology (published Aug 27, 2022). Vitaly Gordon (Faros CEO) and Martin Harrysson (McKinsey senior partner) co-presented a webinar titled 'From AI Spend to AI Outcomes: What the Data Says,' indicating close consulting-methodology integration.
  • GitHubcore technology integrationTechnology or IntegrationNative GitHub integration for ingesting source control and PR data, and integrated support for measuring GitHub Copilot adoption, usage, and ROI. Faros's Einstein release (Oct 2024) was specifically positioned as 'Super-Intelligence for AI Copilot Adoption.' GitHub and Microsoft are jointly marketed with Faros on Azure.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Faros AI competitors and assessment

Company assessment

Direct peers

  • LinearB: LinearB is a developer productivity and engineering metrics platform targeting engineering leaders with workflow automation, DORA metrics, and AI-driven insights. It competes directly with Faros's Developer Productivity and Delivery Excellence capabilities for the same CTO/VP buyer.
  • Waydev: Waydev provides engineering analytics platforms that measure developer productivity across software engineering teams using PRs, commits, and engineering data. It competes with Faros's Developer Productivity and AI Transformation capabilities for engineering leadership buyers.
  • Jellyfish: Jellyfish is an engineering management platform that connects work to business outcomes and provides resource allocation and investment strategy analytics. It directly overlaps Faros's Engineering Efficiency and Investment Strategy modules for the same enterprise engineering buyer.
  • Swarmia: Swarmia combines developer experience surveys with system telemetry and DORA metrics to help engineering organizations improve flow. It directly competes with Faros's Developer Experience and DORA Metrics capabilities for DevEx and platform engineering leaders.

Broad incumbents

  • GitLab: GitLab is a comprehensive DevOps platform with built-in Value Stream Analytics, DORA metrics, and AI-impact reporting. It is a broad incumbent that offers overlapping engineering intelligence capabilities within a wider single-platform portfolio.
  • GitHub (Microsoft): GitHub, owned by Microsoft, provides Copilot adoption analytics and engineering insights natively within its platform. It is a broad incumbent with overlapping engineering analytics capabilities embedded directly into source control, and is also a Faros integration partner.
  • Atlassian (with DX acquisition): Atlassian is a large, established collaboration and software development platform whose reported $1B acquisition of DX directly competes with Faros in engineering intelligence. It bundles competing capabilities into Jira and offers a much broader portfolio (Jira, Confluence, Bitbucket, Trello) to enterprise buyers.

Emerging players

  • Haystack: Haystack provides engineering intelligence focused on developer experience and team performance analytics. It is an emerging player with partial overlap to Faros's Developer Productivity and DORA Metrics capabilities for engineering leaders.
  • Sleuth: Sleuth is a DORA metrics and engineering effectiveness platform that focuses on deployment frequency, lead time, and change failure rate. It overlaps Faros's DORA Metrics and Delivery Excellence capabilities, with particular strength in continuous delivery tracking.
  • Allstacks: Allstacks provides engineering value stream intelligence and predictive analytics for software delivery. It is an emerging player with overlapping capabilities to Faros's Delivery Excellence and AI Transformation modules for engineering leaders.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

Faros AI social profiles

Digital presence

Faros AI compliance and trust

Trust signal

Compliance3 records

Faros AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Faros AI leadership team

Management profile

Number of profiles

Profiles4 records

Faros AI subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Faros AI funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Faros AI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Faros AI

What does Faros AI do?

Faros AI is an AI-driven engineering intelligence platform that connects data from 100+ SDLC tools (Jira, GitHub, GitLab, CI/CD, incident management, AI coding tools) into a unified data model. It delivers AI-powered analytics for developer productivity, DORA metrics, AI coding tool ROI measurement, token spend tracking, and engineering operations optimization for large enterprise engineering organizations. The platform is sold as tiered SaaS subscriptions (Professional, Enterprise, Ultimate), all gated behind an enterprise demo request.

Is Faros AI a public or private company?

Faros AI is a private company. It is classified as venture growth investor backed and is currently operating.

When was Faros AI founded?

Faros AI was founded in 2021. It employs 51 to 100 people.

Where is Faros AI based?

Faros AI is headquartered in San Francisco, United States, in the North America region.

How does Faros AI make money?

Two revenue lines are on record. Enterprise SaaS Subscriptions are the primary driver. The others are AI Productivity Consulting (Professional tier).

Who are Faros AI's main competitors?

Direct peers on record are LinearB, Waydev, Jellyfish and Swarmia. Broad incumbents are GitLab, GitHub (Microsoft) and Atlassian (with DX acquisition). Emerging players are Haystack, Sleuth and Allstacks.

Does Faros AI have an API?

Yes. Faros offers API access (Enterprise plan) and webhooks for data ingestion, plus a Source CLI and Events CLI for self-hosted ingestion. APIs allow customers to push or pull engineering data on their own terms across cloud or on-prem environments, with webhooks giving full control over what is ingested and when. The April 2026 AI Engineering Metrics release also introduced an MCP (Model Context Protocol) server, expanding AI tool coverage and enabling Experiments. Developer documentation is at www.faros.ai/platform.

What industry is Faros AI in?

Faros AI's product category is Engineering Intelligence Platform. Its primary akta.pro industry code is HDAEALAC, IT Operations Management (ITOM) Platforms, with a secondary code of HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 513210 and its SIC code is 7370.

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Live signals
Salesforce VenturesFaros.aiFaros.ai is an operational data platform that integrates engineering data sources to provide a single view of the software development lifecycle. It aims to help engineering leaders make data-driven decisions and improve productivity. The company is private, with Vitaly Gordon, Shubha Nabar, and Matthew Tovbin as co-founders.DailyhuntTokenmaxxing Trap: How AI Coding's Obsession with Volume is Secretly Sabotaging Developer ProductivityA phenomenon called 'tokenmaxxing' is emerging in software development where teams prioritize maximizing AI token consumption over code quality, leading to hidden productivity losses. Data from multiple developer analytics firms reveals that while AI coding tools achieve 80-90% initial code acceptance rates, these drop to just 10-30% after revisions, with GitClear reporting 9.4 times higher code churn among AI users and Faros AI finding code churn increased by 861% in high AI-adoption environments. The industry is responding with new measurement tools, including Atlassian's $1 billion acquisition of engineering intelligence startup DX and platform overhauls by analytics firms like Waydev to better track AI coding efficacy.TechCrunch“Tokenmaxxing” is making developers less productive than they thinkAnalytics companies specializing in developer productivity are finding that while AI coding tools like Claude Code, Cursor, and Codex achieve 80-90% initial code acceptance rates, engineers subsequently revise much of that code, driving real-world acceptance down to 10-30%. Data from multiple firms including Waydev, Faros AI, and Jellyfish shows that developers with the largest AI token budgets generate the most code but at significantly higher cost relative to actual productivity gains, with Faros AI reporting a 861% increase in code churn under high AI adoption. Waydev has rebuilt its platform to help engineering managers track AI agent metadata and code quality metrics as organizations struggle to measure true efficiency rather than just code volume.InfoQAI Coding Assistants Haven’t Sped up Delivery Because Coding Was Never the BottleneckAgoda published an observation arguing that while AI coding tools have measurably raised individual developer output, project-level velocity gains remain modest because coding was never the real bottleneck. Research by Faros AI analyzing telemetry from over 10,000 developers found that teams with high AI adoption completed 21% more tasks and merged 98% more pull requests, yet PR review time increased by 91%. The analysis suggests the bottleneck has shifted upstream to specification and verification, carrying significant implications for how engineering teams should be structured, as communication and collaborative alignment become the highest-value work.HackerNoonAI Code Disconnect: Measuring What is Generated vs What SurvivesAn opinion piece by Principal Engineer Madhankumar Ponmudi Subramanian argues that vendor telemetry overcounts AI-generated code because it tracks IDE insertions without verifying what survives pull requests. He compares IDE telemetry, diff pattern analysis, and Git-native tagging, citing tools such as Exceeds AI, Faros AI, LinearB, git-ai and GitHub Copilot Analytics.SoftwareseniThe AI Productivity Paradox in Software Development—Why Developers Feel Faster But Measure SlowerResearch from METR, Faros AI, and Stack Overflow reveals a significant disconnect between how developers perceive their productivity with AI coding tools versus actual measured performance: developers believe they work 24% faster with AI assistance, yet controlled studies show they complete tasks 19% slower, a 43 percentage point perception-reality gap. While individual developers complete 21% more tasks, organizational delivery velocity remains flat because downstream bottlenecks absorb all gains—code review times increase 91%, PR volume rises 98%, and PR sizes grow 154%, with 66% of AI-generated code described as "almost right but not quite." The article recommends organizational redesign including restructured code review workflows, quality gates for AI-generated code, and measurement frameworks that track actual delivery outcomes rather than activity metrics.CortexEngineering Intelligence Platforms: Top 8 Tools in 2026This article is a comprehensive buying guide comparing eight engineering intelligence platforms for 2026: Cortex, Jellyfish, LinearB, Swarmia, DX, Uplevel, Code Climate, and Faros AI. The guide evaluates each platform's key capabilities, funding status, target users, and positioning within the software delivery analytics market. Key differentiators include service catalog integration, AI impact measurement, financial alignment features, and developer wellbeing tracking.FarosThe AI Productivity Paradox Research ReportA recent research report by Faros AI reveals that while over 75% of developers utilize AI coding assistants, organizations are not experiencing measurable improvements in productivity or delivery velocity. Developers report increased output, completing significantly more tasks and pull requests, but these gains are offset by prolonged review times and other bottlenecks. The study identifies a disconnect between individual performance boosts and overall company-level metrics, calling it the "AI productivity paradox."YahooFaros AI Recognized as the Winner of 2025 Microsoft for Startups Partner of the YearFaros AI, an AI transformation partner for software engineering organizations, won the Microsoft for Startups 2025 Partner of the Year Award, selected from over 4,600 nominations across more than 100 countries. The award recognizes excellence in innovation and implementation of customer solutions based on Microsoft technology, particularly for providing enterprise software engineering teams visibility and insights to measure AI productivity gains using Azure and GitHub Copilot. The recognition highlights Faros AI's partnership with Microsoft, which connects the company with enterprise leaders representing over 500,000 engineers.FinancialContent Business PageFaros AI Recognized as the Winner of 2025 Microsoft for Startups Partner of the YearFaros AI, an AI transformation partner for software engineering organizations, has won the Microsoft for Startups 2025 Partner of the Year Award, recognized among a global field of top Microsoft partners for excellence in innovation and implementation of customer solutions based on Microsoft technology. The company was honored among over 4,600 nominations from more than 100 countries. The awards were announced ahead of Microsoft Ignite, scheduled to be held in San Francisco from November 18-21.