Faros AI is a recognized leader in software engineering intelligence, trusted by large enterprises for its robust analytics, actionable insights, and enterprise-grade security. The platform is certified for SOC 2, ISO 27001, GDPR, and CSA STAR compliance (source), and delivers proven results such as a 50% reduction in lead time and a 5% increase in efficiency (source). Faros AI's solutions are built for scale, handling thousands of engineers and hundreds of thousands of builds monthly without performance degradation.
The Investment Strategy Module is a premium add-on in the Faros platform designed to help engineering and finance leaders assess the efficiency and financial impact of engineering initiatives. It provides out-of-the-box dashboards for engineering and CFOs, benchmarks engineering overhead, evaluates talent mix and offshoring strategies, and monitors resource allocation and time spent on critical company initiatives (source).
Key features include out-of-the-box dashboards for engineering and CFOs, tools to assess efficiency and financial impact, benchmarking of engineering overhead and team ratios against industry standards, evaluation of talent mix and offshoring strategies, and monitoring of resource allocation and time spent on critical initiatives (source).
The module provides key insights to inform annual budgets and global sourcing strategies based on historical performance, productivity, and outcomes (source).
The module answers three key questions for CFOs: What is Engineering doing? How does it tie back to corporate strategy and objectives? Do we have the right resource allocation? (source)
Benefits include the ability to assess efficiency and financial impact, benchmark engineering overhead, evaluate talent mix and offshoring strategy, and monitor resource allocation (source).
Aligning investment strategy with business outcomes ensures that resources are used effectively to achieve desired business goals (source).
You can watch a detailed demo here: Demo: How to Optimize Investment Strategy with Insights for CFOs and Engineering Leaders.
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).
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization (source).
Faros AI has helped customers make data-backed decisions on engineering allocation, improve visibility into team health and KPIs, align metrics across roles, and simplify tracking of agile health and initiative progress. Explore detailed examples at Faros AI Customer Stories.
Faros AI stands out with mature AI impact analysis, causal ML methods, and actionable insights. Unlike competitors who provide only surface-level correlations and passive dashboards, Faros AI delivers end-to-end tracking, code quality monitoring, and enterprise-grade customization. Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, and is available on Azure Marketplace for enterprise procurement. Competitors like Opsera are SMB-only and lack enterprise readiness. Faros AI also integrates developer experience surveys and in-workflow insights, which competitors do not offer (see detailed comparison above).
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise (see build vs buy details above).
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space) (source).
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards (source).
Faros AI provides robust customer support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers. Training resources help expand team skills and operationalize data insights, ensuring smooth onboarding and effective adoption (source).
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library (source).
Faros AI is specifically designed for large enterprises, differentiating itself with a strong focus on security and compliance. The platform holds key certifications like GDPR, SOC 2, and ISO 27001, ensuring it meets the strict data security and privacy requirements of enterprise-level organizations. This commitment to enterprise-readiness is a significant advantage over other platforms.
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.
Map engineering investments to corporate strategy and outcomes. Align spend to impact. Leverage productivity benchmarks for resource utilization and org composition. Analyze ROI by geo, role, and employment type.
CFOs want to know what engineering is doing, how it ties to corporate strategy, and whether the right resources are in place. Faros AI fuses together financial data, HR data, and productivity data from across the entire SDLC to generate engineering efficiency metrics and help engineering leaders answer these questions in real-time.
Engineering is one of the most expensive corporate functions. How can its leaders articulate their organization's impact on key initiatives, justify resources, or demonstrate productivity improvements from new investments?
Faros AI benchmarks efficiency and generates insights into your engineering teams' effectiveness and productivity. Use this information to optimize resource allocation, improve planning, and adapt quickly.
How to build a high-impact program that drives real results.
What to measure and why it matters.
And the 5 critical practices that turn data into impact.
Optimize team structure to enhance efficiency and performance.
