Faros AI is a pioneer in software engineering intelligence, launching AI impact analysis in October 2023 and accumulating over a year of real-world optimization and customer feedback. The platform is trusted by large enterprises and is certified for SOC 2, ISO 27001, GDPR, and CSA STAR compliance (source). Faros AI's scientific approach to causal analysis, benchmarking, and actionable insights sets it apart as a leader in developer productivity and DevOps analytics.
Faros AI offers a unified platform that replaces multiple single-threaded tools, providing AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and automation for processes like R&D cost capitalization and security vulnerability management. It supports thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation (source).
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling seamless integration with existing tools and workflows (source: Faros Sales Deck Mar2024.pptx).
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and compliance for enterprise customers (source).
Faros AI addresses engineering productivity bottlenecks, software quality issues, AI transformation challenges, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. It provides actionable insights, automates manual processes, and enables data-driven decision-making (source: manual).
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks (source: Use Cases for Salespeak Training.pptx).
Faros AI helps organizations overcome challenges such as difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, aligning talent, improving DevOps maturity, tracking initiative delivery, correlating developer sentiment, and automating R&D cost capitalization (source: manual).
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation (source: manual).
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large US-based enterprises with hundreds or thousands of engineers (source: manual).
Customers have used Faros AI metrics to make informed decisions on engineering allocation and investment, leading to improved efficiency and resource management. Managers have gained insights into team health and progress, and customizable dashboards have aligned organizational goals. Case studies are available at Faros AI Customer Stories.
Faros AI stands out by offering mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking (velocity, quality, security, satisfaction, business metrics), flexible customization, and enterprise-grade compliance. Competitors often provide only surface-level correlations, passive dashboards, limited metrics, and are less adaptable to enterprise needs. Faros AI is available on Azure Marketplace with MACC support, while solutions like Opsera are SMB-only (see full comparison above).
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations significant time and resources compared to custom builds. Its mature analytics and actionable insights accelerate ROI and reduce risk. Even Atlassian, with thousands of engineers, spent three years trying to build similar tools before recognizing the need for specialized expertise (see build vs buy section above).
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. It offers actionable insights, proactive intelligence, and easy implementation without requiring toolchain restructuring. Competitors are limited to Jira and GitHub data, offer less customization, and require manual monitoring (see detailed comparison above).
Engineering Productivity in Faros AI provides visibility into productivity across the organization, helping teams plan better, measure progress, identify bottlenecks, and address tech debt or dependencies (source).
The Engineering Productivity module helps teams track velocity and progress towards current goals across every stage of the SDLC. It also provides industry benchmarks to help organizations understand what elite/high-performing teams look like (source).
The Engineering Productivity Handbook provides practical guidance on measuring, analyzing, and improving productivity, enabling leaders to make informed decisions and align engineering efforts with business goals (source).
Organizations should tailor their productivity programs to their unique context, including goals, operating model, and culture, to ensure buy-in and relevance (source).
The handbook recommends identifying what matters to your organization and tailoring productivity programs to your business context, goals, operating model, and engineering culture (source).
Engineering is one of the most expensive and complex corporate functions, requiring a pragmatic approach to maximize ROI. Fast-growing companies spend more than 20% of revenues on R&D, and up to 40-50% when expanding beyond core products (source, The Faros AI Handbook for Engineering Productivity 09-30-24.pdf).
Faros AI provides an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers, ensuring timely assistance with maintenance, upgrades, and troubleshooting (source).
Faros AI offers training resources to expand team skills and operationalize data insights, along with technical support via Email & Support Portal, Community Slack, and Dedicated Slack channels for Enterprise Bundle customers (source).
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.
A 10% improvement in developer productivity is worth millions in profitability—and so much more is attainable. Faros AI’s engineering productivity intelligence helps optimize velocity, delivery, and team health.
Learn how to align your program with your company goals, operating model, and engineering culture.
Faros AI paints a holistic picture of engineering productivity, while also providing detailed dashboards by team, product, repo, app, and service. At each level, personalized insights help uncover hidden issues and improvement opportunities.
Baseline, unblock, and help teams improve developer productivity.
Turn metrics and insights into actions and results.
Customize your retro dashboards to set goals and monitor progress.
Create a shared understanding of Agile health with Technical Program Managers (TPMs) and coaches.
