Engineering metrics & DORA · Faros AI, Inc.

Faros AI

Open-data-model engineering intelligence platform built on an open-source connector framework, covering DORA and AI-adoption metrics.

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Faros AI differentiates on data architecture: it is built on Airbyte-based open-source connectors and an open data schema, so customers can pull raw engineering data (Git, CI/CD, issue trackers, incident tools) into their own warehouse rather than being locked into a vendor's proprietary store, then layer Faros's DORA-metric dashboards and AI-adoption analytics on top. This appeals to platform teams that already have a data warehouse and want engineering metrics to live alongside other business data rather than in a silo. Like peers in this category, it also tracks AI coding-assistant usage and impact, an increasingly standard module across engineering-analytics vendors. Faros uses consumption-based pricing tied to usage volume, but does not publish specific rates; customers must contact sales for a tailored quote.

At a glance

Vendor Faros AI, Inc.
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Platform teams wanting engineering metrics built on an open, warehouse-friendly data model rather than a closed vendor store.

Pricing

Consumption-based pricing tied to data/usage volume; no published rate card, requires a tailored quote.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Open-source (Airbyte-based) connector framework, no data lock-in
  • DORA metrics and delivery dashboards
  • AI coding-assistant adoption and impact tracking
  • Customizable data model, queryable in a warehouse
  • Incident and reliability metrics
  • Team and initiative-level investment reporting

Integrations

Profile last reviewed September 21, 2026

Alternatives

LinearB Engineering intelligence platform explicitly built around the DORA metrics, pulling data from Git and CI/CD to surface delivery bottlenecks. Waydev Git and project-management analytics platform tracking DORA metrics plus AI-assisted coding adoption, priced per active contributor. Jellyfish Engineering management platform pitched at connecting engineering activity to business investment and finance reporting. DX Developer experience and productivity platform combining survey data (based on the SPACE/DevEx research) with system metrics including DORA.

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Terms to know

KPI (key performance indicator) A measurable value tracked over time to show whether a team or process is on track toward a goal. Data warehouse A centralized, structured database optimized for fast historical reporting rather than day-to-day transactions. Data modeling The practice of organizing data into entities, relationships and schemas that make it accurate and efficient to query. DORA metrics Four measures of software delivery and operational performance covering release speed, stability, and recovery.

Related guides

How to choose a DORA metrics platform DORA tools agree on the four core numbers; they differ in who reads the output — engineers, finance, or executives — and that should drive the pick.