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Faros AI
Connect, benchmark, and improve developer productivity with a powerful data platform for engineering metrics.

Faros AI
Paid
From 29$

Home: https://www.faros.ai

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What is Faros AI?

Develop a comprehensive data platform for engineering metrics, built for enterprise scale and tailored to specific goals and operating models. It connects various data sources, including standard, customized, and homegrown tools, spreadsheets, and surveys, without requiring data refactoring. The platform provides pre-built analytics modules for quick visibility into engineering issues like delivery, productivity, quality, and AI adoption, infused with benchmarks and industry best practices.

Leverage AI guidance to query data, build custom charts, and create unique dashboards supporting business needs and operational cadences. The platform addresses complex enterprise software development realities, offering flexible deployment models, high-security data ingestion, PII scanning, redaction, and multiple security certifications. It aims to boost velocity, quality, and efficiency in developer workflows, maximize AI's impact on productivity, and improve delivery and resource allocation by providing personalized insights, guidance, and recommendations.

Features

  • Data Integration: Connects standard, customized, and homegrown tools, spreadsheets, surveys, and varied workflows.
  • Pre-built Analytics Modules: Offers rapid visibility into delivery, productivity, quality, and AI adoption metrics.
  • Customizable BI Solution: Provides AI guidance for querying data and building custom charts/dashboards.
  • Enterprise Security: Features flexible deployment, secure data ingestion, PII scanning/redaction, and certifications.
  • Metric Tracking: Generates consistent metrics (DORA, SPACE, custom) across diverse processes.
  • Developer Experience Insights: Combines survey data with tool telemetry for comprehensive analysis.
  • AI Copilot Impact Analysis: Measures and maximizes the ROI of AI development tools.
  • Software Capitalization Automation: Automates finance-ready reports for R&D costs.
  • Initiative Tracking: Aligns engineering work with strategic goals and monitors progress.

Use Cases

  • Improving Engineering Productivity
  • Measuring AI Copilot Impact
  • Tracking DORA Metrics
  • Enhancing Developer Experience
  • Monitoring Initiative Progress
  • Automating Software Capitalization Reporting
  • Aligning Engineering Investment Strategy
  • Benchmarking Team Performance
  • Conducting Data-Driven Retrospectives
  • Assessing Team Health and Onboarding Effectiveness

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