Faros

Faros tracks how engineering teams use AI coding agents, linking token spend to shipped outcomes, and then cuts waste through model routing and context engineering. Policies and guardrails govern which models, budgets and data each agent may use.

The platform is organized into observing, optimizing and governing: dashboards show spend and efficiency by team, routing sends each task to the best-suited model, and governance enforces model, budget and data policies. Teams can also build benchmarks from their own shipped work.

Solutions cover AI coding ROI, token allocation and forecasting, and developer productivity questions about how the engineering organization performs. A self-service environment is free to explore, and Faros publishes a quarterly AI engineering report.