Faros
Faros AI is an Artificial Intelligence (AI)-guided platform developed for Engineering Operations. It serves as an infrastructure tool for t...
Last verified:
What is Faros?
Faros AI is a software engineering intelligence platform that gives engineering leaders visibility and control over how work operates across code, people, and systems. The platform unifies data from source control, task management, incident management, CI/CD, and HR systems into a normalized knowledge graph, enabling holistic visibility across the entire software development lifecycle. Faros helps teams turn engineering bottlenecks into breakthroughs, measure AI's impact on productivity and quality, provide context for AI agents, and achieve predictable roadmap delivery.
Key features include Engineering Productivity Intelligence that benchmarks performance and identifies SDLC bottlenecks, AI Impact & ROI Metrics to measure AI investments, Developer Experience tracking, DORA Metrics compliance, AI Maturity Benchmarking, Investment Strategy analytics, Initiative Acceleration tools, and Software Cost Capitalization support. The platform integrates with 100+ tools including GitHub, GitLab, Jira, PagerDuty, Jenkins, CircleCI, and AWS CodePipeline through straightforward connectors that work in days rather than months. Faros builds a knowledge graph of how teams build and deliver software, then flows context (specs, decisions, dependencies) to developers and AI agents when they need it.
Faros AI is designed for software engineering leaders, VP of Engineering, CTOs, Developer Enablement teams, and engineering productivity professionals at enterprise organizations. The platform is trusted by leading companies including Autodesk, Discord, Vimeo, Coursera, SmartBear, top banks, insurance providers, and the largest European engineering company. It particularly serves organizations with 51-5000+ engineers that need enterprise-grade security and want to prove AI's productivity impact with real data to justify investment and secure executive buy-in.
Faros pricing
Pricing model: Free
Faros AI offers per-contributor, per-module pricing with monthly billing. Modules cost $29 per month per contributor per module (price decreases with additional modules purchased). The platform includes Faros Essentials (Community Edition) which is completely free and open-source under Apache 2.0 license for teams up to 10-12 developers. Modules include a 14-day trial, and the Platform has a flexible trial available. Platform and Enterprise Bundle pricing are custom and require contacting sales. Annual subscriptions save 10%. Data retention is 36 months standard with unlimited retention available in Enterprise Bundle. AWS Marketplace offers Pro tier at $69/month per person in engineering org with 1-month free trial for monthly users.
Faros pros
- Integrates with 100+ engineering tools including GitHub, GitLab, Jira, PagerDuty, Jenkins
- Builds automated knowledge graph of how teams build and deliver software
- Provides 26% faster PRs through engineering productivity insights
- Delivers 10x higher PR velocity according to business results
- Achieves 40% fewer failed outcomes with measurement and guardrails
- Reaches value in POC within just 1 day
- Offers enterprise-grade security for organizations with thousands of engineers
- No prerequisites to refactor or standardize data before integration
- Analyzes task, coding, deployment, quality, incident, security, and org structure data
- Provides actionable insights, benchmarks, and automations for productivity improvement
- Includes landmark research like AI Engineering Report based on 22,000 developers
- Supports AI Copilot Impact measurement and Developer Experience tracking
- Enables Software Capitalization and Investment Strategy analytics
- Offers GraphQL APIs for custom dashboards and reports beyond standard interface
- Integrates in days not months with any AI tool, SDLC, or workflow
- Provides continuous measurement to show leaders impact and ROI
- Tracks initiatives from idea to production with end-to-end visibility
- Reconciles identities across different engineering systems automatically
Faros cons
- Typical contracts start at $150k/year and can reach $300k with modules
- Implementation often requires partner-led setup costing $40-100k额外
- Module pricing compounds—each additional module adds 15-25% to bill
- Mandatory annual contracts with no monthly billing or per-seat scaling
- Teams under 1000 engineers may need 1-2 internal data engineers to maintain
- Complex initial setup requiring technical expertise for data source configuration
- Steeper learning curve for non-technical stakeholders understanding data model
- Building custom dashboards feels difficult for some users
- Pricing oriented toward enterprise organizations, less accessible for startups
- No mobile application available for mobile device access
Frequently asked questions about Faros
What is Faros AI and what problem does it solve?
Faros AI is a software engineering intelligence platform that gives engineering leaders visibility into how work operates across code, people, and systems, and control over how work progresses through enforceable workflows and policy. It solves the problem of lacking data-backed narratives when making decisions on engineering allocation and investment by unifying organizational knowledge about people, process, and tools to create faster and more efficient development workflows.
How quickly can Faros AI be integrated with existing tools?
Faros AI integrates with any AI tool, any SDLC, and any workflow in days, not months. The platform has no prerequisites to refactor or standardize data in advance and connects to 100+ tools including GitHub, GitLab, Jira, PagerDuty, Jenkins, CircleCI, and AWS tools through straightforward connectors.
What is the knowledge graph that Faros builds?
Faros builds a knowledge graph of how teams build and deliver software by connecting with dozens of engineering systems across source control, task-management, incident-management, CI/CD, and HR systems. It infers connections between them, correlating events and identities to provide holistic visibility, tracing changes from idea to production, and reconciling identities across different systems.
What measurable results does Faros AI deliver?
According to Faros business results, the platform delivers 10x higher PR velocity, 40% fewer failed outcomes, and reaches value in POC within 1 day. Engineering productivity intelligence shows 26% faster PRs, and the platform is based on data from 22,000 developers across 4,000 teams in landmark research.
Which companies use Faros AI?
Faros AI is trusted by leading enterprises including Autodesk, Discord, Vimeo, Coursera, SmartBear, top banks and insurance providers, the #1 U.S. card issuer, #1 e-signature platform, #1 industrial automation provider, #1-rated life insurance provider, #1 crowdfunding platform, Top-5 U.S. bank, and the largest European engineering company.
What DORA metrics does Faros support?
Faros AI provides comprehensive DORA Metrics tracking as one of its core use cases, along with Engineering Productivity, Developer Experience, AI Copilot Impact, Software Quality, Initiative Tracking, Investment Strategy, and Software Capitalization. The platform benchmarks performance, identifies SDLC bottlenecks, and tracks improvements across all these metrics.
How does Faros AI measure AI impact on engineering?
Faros measures AI's impact on productivity, quality, and developer experience through AI Impact & ROI Metrics and AI Maturity Benchmarking. The platform produces the AI Engineering Report 2026 and research on the AI Productivity Paradox based on two years of data from 22,000 developers, showing what's working, what's breaking, and what leaders need to do next.
What API capabilities does Faros provide for custom development?
Faros provides access to a normalized data model through GraphQL APIs, enabling teams to build custom dashboards, reports, and integrations beyond the standard interface. This gives technical teams flexibility to extract insights tailored to specific workflows and leverage the underlying data layer for advanced analytics or integration with existing BI tools.
Does Faros track individual developer productivity?
No, Faros AI emphasizes operational metrics and workflow analysis rather than individual developer productivity tracking, aligning with modern engineering management philosophies. The platform surfaces insights about deployment patterns, incident response times, and cross-team dependencies to identify systemic issues rather than individual performance, supporting healthier team dynamics.
What is Faros Community Edition?
Faros Essentials (Community Edition) is a completely free, open-source engineering operations platform under Apache 2.0 license. It serves as an open-source BI, API, and automation layer for engineering operations data, connecting dots between all operational data sources for a single-pane view across the software development life cycle for teams up to 10-12 developers.