Measures what AI coding agents cost and deliver across engineering teams, then routes and governs their usage.

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About Faros

Faros gives engineering leaders data on how their teams and their AI coding tools perform. It connects to source control, issue trackers, CI/CD, incident tools and AI coding agents, then links token spend and developer activity to shipped features, incidents and delivery speed. Leaders use it to measure the return on AI coding tools, allocate and forecast AI budgets, and answer questions about engineering productivity. The platform also builds benchmarks from a company's own shipped work to route each task to the most efficient model, and applies policies on models, budgets and data across agents. Faros serves engineering organizations at banks, technology companies and other large enterprises.

Listed inCoding Tools

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Features

Track AI token spend per team and agent
Measure AI coding outcomes and ROI
Forecast and allocate AI coding budgets
Route tasks to models using internal benchmarks
Enforce model, budget and data policies
Analyze engineering productivity metrics
About
HeadquartersUSA
Employees50 – 100
faros.ai