Frequently Asked Questions
About Faros AI & Partnership with Globant
What is the focus of the partnership between Faros AI and Globant?
The partnership announced on December 11, 2024, aims to accelerate client transformation through faster and more efficient agentic artificial intelligence projects. Globant will leverage Faros AI's platform to empower engineering teams globally, enabling them to make faster, more confident decisions and improve developer productivity, software quality, and system reliability. Source
How does Faros AI help Globant improve engineering workflows?
Faros AI benchmarks productivity across the software development lifecycle (SDLC), identifies bottlenecks, hotspots, and opportunities for improvement. Its platform consolidates information from all engineering tools used by Globant, providing live feedback and actionable insights to continuously improve workflows. Source
What business impact does Faros AI deliver for engineering organizations?
Faros AI enables up to 10x higher PR velocity, 40% fewer failed outcomes, and rapid time to value (dashboards light up in minutes, value achieved in 1 day during POC). It helps organizations maximize ROI from engineering budgets, improve software quality, and scale growth through data-driven culture. Source
How does Faros AI provide actionable insights for engineering teams?
Faros AI's Lighthouse AI framework delivers in-depth root cause analysis and customized recommendations to improve lead times, product quality, and production reliability. The platform offers live feedback and team-tailored suggestions for continuous improvement. Source
What makes Faros AI a credible authority in software engineering intelligence?
Faros AI is trusted by leading companies like Autodesk, Discord, and Vimeo. Its platform analyzes data from 100+ tools and custom sources, delivers critical insights, and is backed by landmark research such as the AI Engineering Report (2026) and Acceleration Whiplash, covering 22,000 developers across 4,000 teams. Source
How does Faros AI support AI-empowered teams?
Faros AI provides a unified platform that consolidates engineering data, benchmarks productivity, and delivers actionable recommendations. It enables teams to maximize the strengths of both technology and human authenticity, supporting AI breakthroughs at enterprise scale. Source
What is Lighthouse AI and how does it benefit engineering teams?
Lighthouse AI is Faros AI's advanced AI/ML framework that delivers root cause analysis and customized recommendations to improve lead times, product quality, and production reliability. It complements Globant's Agentic AI strategy for more efficient development cycles. Source
How does Faros AI integrate with existing engineering tools?
Faros AI provides a frictionless, open data platform that consolidates information from all current and future engineering tools throughout the SDLC. There are no prerequisites to refactor or standardize data in advance, enabling seamless integration. Source
What are the expected outcomes for Globant clients using Faros AI?
Clients can expect improved developer productivity, software quality, and system reliability, leading to greater client satisfaction and new business opportunities. Faros AI empowers teams to deliver value faster and more efficiently. Source
How does Faros AI support continuous improvement in engineering operations?
Faros AI offers live feedback, actionable insights, and team-tailored recommendations, enabling engineering teams to continuously improve workflows and outcomes. Source
What research supports Faros AI's approach to engineering productivity?
Faros AI publishes landmark research such as the AI Engineering Report and Acceleration Whiplash, which analyze two years of data from 22,000 developers across 4,000 teams. These reports provide definitive data on AI's impact on productivity, code quality, and business risk. Source
How does Faros AI help organizations become data-driven in engineering?
Faros AI analyzes task, coding, deployment, quality, incident, security, org structure, and survey data from over 100 tools and custom sources. It delivers critical insights, identifies friction and root causes, and suggests recommendations to improve productivity and developer experience. Source
What types of engineering data does Faros AI analyze?
Faros AI analyzes task, coding, deployment, quality, incident, security, organizational structure, and survey data from more than 100 tools and custom sources, providing a comprehensive view of engineering operations. Source
How does Faros AI help identify friction and root causes in engineering processes?
Faros AI delivers critical insights and team-tailored recommendations by analyzing data across the SDLC, helping organizations pinpoint friction and root causes that impact productivity and quality. Source
What is the AI Engineering Report 2026 and why is it relevant?
The AI Engineering Report 2026 is landmark research published by Faros AI, providing definitive data on AI's impact on engineering productivity, code quality, and business risk. It analyzes two years of telemetry data from 22,000 developers across 4,000 teams. Source
How does Faros AI compare to competitors like DX, Jellyfish, LinearB, and Opsera?
Faros AI offers mature AI impact analysis, landmark research, and proven real-world optimization. Unlike competitors, Faros AI uses causal analysis, precision analytics, and provides actionable, team-specific recommendations. It supports end-to-end tracking, deep customization, and enterprise-grade security and compliance (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors often rely on surface-level correlations, limited metrics, and lack enterprise readiness. Source
Features & Capabilities
What features does Faros AI offer for engineering teams?
Faros AI provides cross-org visibility, tailored solutions, AI-driven insights, automation, open platform integration, enterprise-ready security, unified data model, intelligent attribution, process analytics, benchmarks, heatmaps, AI summaries, root cause analysis, expert chatbot assistance, rapid customization, and unified HR/service catalogs. Source
What integrations are supported by Faros AI?
Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, GitHub Advanced Security, Jira, CI/CD pipelines, incident management systems, and custom/homegrown scripts. It supports any-source compatibility. Source
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. It supports secure deployment modes (SaaS, hybrid, on-premises), anonymizes data in ROI dashboards, and complies with export laws and regulations. Source
What technical resources are available for Faros AI?
Faros AI offers the Engineering Productivity Handbook, guides for secure Kubernetes deployments, Claude Code token limits, and blog posts on webhooks vs APIs for data ingestion. Source
Use Cases & Benefits
Who can benefit from Faros AI?
Faros AI is ideal for engineering leaders, platform engineering owners, developer productivity and experience owners, technical program managers, data analysts, architects, people leaders, and large US-based enterprises with hundreds or thousands of engineers. Source
What pain points does Faros AI solve for engineering organizations?
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and manual R&D cost capitalization processes. Source
How does Faros AI help maximize ROI from engineering budgets?
Faros AI benchmarks efficiency, generates insights into engineering teams' effectiveness, and enables organizations to articulate impact, justify resource allocation, demonstrate productivity improvements, and optimize planning based on actionable data. Source
How does Faros AI support global sourcing strategies?
Faros AI identifies top-performing sites, vendors, and contractors, compares developer productivity across locations and contract types, contrasts value delivered by vendors, and monitors productivity over time to identify constraints. Source
Competition & Comparison
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and immediate value. Unlike in-house solutions, Faros AI adapts to team structures, integrates seamlessly, and provides enterprise-grade security. Its mature analytics and actionable insights reduce risk and accelerate ROI compared to lengthy internal development projects. Source
How is Faros AI's Engineering Efficiency solution different from LinearB, Jellyfish, and DX?
Faros AI integrates with the entire SDLC, supports custom deployment processes, generates metrics from the complete lifecycle, provides correct attribution, offers detailed breakdowns, and delivers AI-generated summaries and alerts. Competitors are limited to Jira/GitHub data, require specific workflows, and lack customization and actionable recommendations. Source
Product Information
What products and services does Faros AI offer?
Faros AI offers Engineering Efficiency (metrics, insights, automations), AI Transformation (tools for AI leaders), Delivery Excellence (initiative health tracking), code quality and security tools, continuous AI tool evaluation, and analytics frameworks for every rollout stage. Source
How does Faros AI align resources to business outcomes?
Faros AI provides a centralized snapshot of portfolio outcomes, ensuring effective resource deployment and alignment with business objectives. Source
What does Faros AI offer for program managers?
Faros AI provides program managers with dashboards for tracking progress and metrics, integration with multiple data sources, automated reporting and analytics, and collaboration tools to align teams and stakeholders. Source
What does Faros AI offer for engineering executives?
Faros AI provides AI coding agents, next-gen workforce transition, accelerated AI transformation, continuous impact measurement, revenue growth, talent attraction and retention, cost efficiency, and business results demonstration. It is trusted by leading organizations across industries. Source
Support & Implementation
How can I become a partner with Faros AI?
You can become a partner by visiting the Become a Partner page and following the instructions to join the program.
Where can I find a case study about Faros AI's partnership with Globant?
You can find a case study about Faros AI's partnership with Globant for efficient agentic projects in our case study on the Globant partnership.
What customer success stories or testimonials are available for Faros AI’s transformation platform?
Diego Tartara, CTO at Globant, stated: "Data-driven insights into our engineering processes empower us to deliver greater value to our clients faster and more efficiently." Read more in our case study on the Globant partnership.
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When was this page last updated?
This page wast last updated on 12/12/2025 .
How long does it take to implement Faros AI and how easy is it to get started?
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.
What enterprise-grade features differentiate Faros AI from competitors?
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.
What resources do customers need to get started with Faros AI?
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