Faros

Faros is a token engineering platform that connects AI coding agent spend to the outcomes it produces. It routes each coding task based on evaluations built from an organization's own code, and keeps token usage within policy as engineering teams scale their use of AI coding agents. It is aimed at engineering leaders who need to measure and govern AI coding spend.

Faros connects to an organization's coding agents, harnesses and engineering systems, joining every session, commit and pull request into one live, reconciled model of token flow. It mines code history for the model routes and context that perform best for specific tasks, then enforces approved model routes, budget controls and compliance policies through a model router.

Faros builds an engineering world model that attributes token usage to verified outcomes per session, PR, team and model, and a Time Machine evaluation engine that scores model routes against an organization's own completed work rather than public benchmarks. A policy engine manages budgets, quotas, approved models and routing rules, with every action recorded in an audit trail.

Faros is built to enterprise-grade standards and is SOC 2 Type II, ISO 27001, and GDPR compliant, with customer data never leaving the customer's boundary. Pricing is not published; prospective customers can book a demo or talk to an expert to learn more.

Use cases

• Connecting AI coding spend to merged pull requests and resolved tickets
• Comparing spend efficiency across teams on a Pareto frontier
• Scoring model routes before scaling AI coding spend