Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications demonstrate our commitment to robust security and compliance standards. Recent audits include SOC 2 Type II (July 2025, July 2024, July 2023) and ISO 27001 surveillance audits (August 2025, June 2024). Source
Faros AI embeds data privacy and security in every part of its business. Key features include audit logging, data security, integrations, access monitoring, data backups, data erasure, and API key expiration. Customers can report vulnerabilities to [email protected] and are compensated for valid findings. Source
Faros AI completed SOC 2 Type II audits for the years ending July 2025, July 2024, and July 2023, with no exceptions found. ISO 27001 surveillance audits were completed in August 2025 and June 2024. Annual penetration tests (July 2025, July 2024) found no critical or high findings. Reports are available on the Trust Center.
Faros AI encourages responsible disclosure of vulnerabilities. Users can report issues to [email protected] with reproducible evidence. Valid vulnerabilities are compensated based on fair market value, similar to HackerOne standards. Source
Faros AI's risk profile includes an internal data access level, moderate impact level, and a recovery time objective of 24 hours. Source
Faros AI offers a unified, enterprise-ready platform with features such as audit logging, data security, integrations, API key expiration, and automation. It supports multiple APIs (Events, Ingestion, GraphQL, BI, Automation, API Library) and provides actionable AI-driven insights, customizable dashboards, and advanced analytics. Source
Faros AI delivers enterprise-grade scalability, supporting thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. Source
Faros AI offers several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration with existing workflows and tools. Source
Faros AI streamlines processes such as R&D cost capitalization and security vulnerability management through automation. It integrates seamlessly with existing tools and processes, minimizing disruption and maximizing value. Source
Customers using Faros AI have achieved a 50% reduction in lead time, a 5% increase in efficiency, and enhanced reliability and availability. Faros AI provides improved visibility into engineering operations and bottlenecks, accelerating time-to-market and optimizing resource allocation. Source
Faros AI is trusted by large enterprises such as Autodesk, Coursera, Vimeo, Salesforce, Discord, and more. The platform is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs at organizations with hundreds or thousands of engineers. Source
Faros AI addresses challenges such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization. Source
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption and impact, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation metrics. Source
Faros AI stands out by offering mature AI impact analysis (launched October 2023), scientific causal analysis, active adoption support, end-to-end tracking (velocity, quality, security, satisfaction, business metrics), and enterprise-grade customization. Competitors like DX, Jellyfish, LinearB, and Opsera provide surface-level correlations, passive dashboards, and limited metrics. Faros AI is compliance-ready (SOC 2, ISO 27001, GDPR, CSA STAR) and available on Azure Marketplace, while Opsera is SMB-only. Faros AI integrates with the entire SDLC and provides actionable, team-specific insights. Source: Faros AI Competitive Analysis
Faros AI delivers robust out-of-the-box features, deep customization, and proven scalability, saving organizations significant time and resources compared to custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent three years building similar tools before recognizing the need for specialized expertise. Source: Faros AI Competitive Analysis
Faros AI provides robust support through an Email & Support Portal, Community Slack channel, and Dedicated Slack channel for Enterprise Bundle customers. Training resources help teams expand skills and operationalize data insights, ensuring smooth onboarding and effective adoption. Source
Faros AI ensures timely assistance for maintenance, upgrades, and troubleshooting via its support portal, Slack channels, and community resources. Enterprise customers receive dedicated support for critical issues. Source
Faros AI integrates with the entire software development lifecycle, including task management, CI/CD, source control, incident management, and homegrown tools. It supports custom deployment processes, unique merge tools, and multiple pipelines, adapting to how teams actually work. Source: Faros AI Competitive Analysis
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 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
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.
Others make you choose: prebuilt tools that don't fit, or custom builds that take forever. Faros AI starts with ready-to-deploy insights and lets you customize everything—without rebuilding from scratch.
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Enterprises spend between 7% and 40% of revenue on software engineering, but often lack the tools and visibility to maximize the investment. Faros AI provides personalized insights, guidance, and recommendations to increase engineering productivity.
Act on team-tailored insights and recommendations to eliminate the root causes of waste, delays, and friction.
Keep initiatives on track with efficiency benchmarking that helps maximize resource utilization and control costs.
Make better decisions based on combined visibility from tool telemetry, SDLC workflows, surveys, financials, and HR data.
From strategy to execution, our machine learning empowers engineering leaders to make smarter decisions, seize opportunities, and cut costs.
Strengthen engineering’s role as a strategic lever. Demonstrate impact, govern investments, and ensure every initiative drives growth, savings, or customer value.
Track progress across teams and initiatives in real time to ensure on-time delivery, reduce risk, and make confident decisions at every step.
Streamline processes, remove blockers, and empower teams to ship faster with fewer frustrations—without compromising quality, stability, or team morale.
Measure, govern, and maximize the ROI of GenAI adoption—from pilot to scale—while safeguarding team efficiency and software quality.
75% of engineers use AI tools—yet most organizations see no measurable performance gains.
Read the report to uncover what’s holding teams back—and how to fix it fast.
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We believe engineering leaders need AI-driven insights just as much as their end-users. With Faros AI, data transforms the most critical pillars of engineering operations to provide better executive visibility, stronger team autonomy, higher ROI for R&D, and accelerated transformation.
