Faros AI is an observability platform for engineering workflows, with solutions for Engineering Productivity, DORA Metrics, Developer Experience, AI Copilot Impact, Software Quality, Initiative Tracking, Investment Strategy, Software Capitalization, Team Health & Onboarding, and more.

With no prerequisites to refactor or standardize data in advance, Faros AI’s out-of-the-box intelligence modules provide rapid visibility and insight into productivity, delivery, outcomes, budgets, and talent. Users can also build custom metrics, dashboards, and reports to support recurring operational cadences and impromptu business analysis.

The platform’s Lighthouse AI features leverage statistical analysis, machine learning, and GenAI to deliver critical insights, identify friction and root causes, and suggest team-tailored recommendations.

Key features

Compatible with the way you work: No need to refactor your data or processes to gain insights into productivity, quality, developer satisfaction, and the impact of new AI tooling.

Holistic visibility: Faros AI provides a complete view into engineering by connecting and normalizing data from various sources, including vendor tools, custom-built tools, pipelines, HR systems, surveys, and spreadsheets.

Customizable, extensible, and AI-powered: Faros AI offers the flexibility of an internal data warehouse plus embedded benchmarks, best practices, conversational chat, AI insights, and rich dashboards.

Enterprise-ready: Faros meets strict security, compliance, and privacy requirements and supports various deployment models to suit your needs.

Use cases

Conduct business-oriented conversations on technical topics: Centralize engineering data on Databricks alongside financial, vendor, customer, product, and support data. Draw correlations between engineering KPIs, roadmap delivery, and business metrics.

Eliminate spreadsheets: Answer questions about costs, resources, progress, and outcomes all in one place.

Get notifications on hotspots, bottlenecks, and risks: Utilize reminders, alerts, and configurable thresholds to keep engineering healthy and to ensure SLAs and SLOs are met.

Faros AIFaros AI

Faros AI

Faros AI

Faros AI

Faros AI

Faros AI
Faros AI