Faros Platform

Faros gives engineering leaders the visibility and control to maximize AI engineering outcomes, while managing costs and keeping every team within policy.

As AI coding agents get embedded deeper in everyday engineering work, leaders face rising token bills and uneven outcomes across their teams. Faros ties that spend to the outcomes it produced and shows where efficiency leaks, down to the root cause. From there it points work at the models and patterns that perform, and enforces the policies that govern how tokens get spent.

At the center is an engineering context graph that mirrors how your organization actually builds software, linking work, activity, and outcomes into one coherent view. Every number ties back to a real system of record, instead of three vendor dashboards telling three different stories. Core capabilities

Observability - Trace every token and model call back to the team, task, and code it produced. Productive work and waste separate out team by team, instead of hiding in one opaque total.

Diagnostics - Find where efficiency leaks, what is causing it, and the evidence behind it. Ask the agent follow-up questions when you want to dig deeper.

Optimization - Match the right model to each job, and turn what already works into reusable skills and context, so strong results are not limited to a few senior engineers.

Governance - Keep AI adoption compliant as it scales. See what is being used, by whom, and whether it is within policy, without slowing delivery down.