Faros is the token engineering platform for AI coding. As builders run more coding agents, token bills climb, choosing model routes comes down to guesswork, and teams with the same tools get very different results. Faros connects AI coding spend to the outcomes it ships, routes each task based on evals built from your own code, and keeps usage within policy as you scale.

Faros connects to more than 100 engineering data sources, including Claude Code, Cursor, GitHub and Jira. It traces every AI dollar from the task to the shipped outcome.

• Observe: Attribute token spend by team, model and PR.
• Optimize: The Faros Time Machine tests models, harnesses and agent context against your completed work. It finds the routes routes that deliver the best quality at the lowest cost.
• Govern: Set budgets, quotas, approved models and routing rules. Faros enforces them through your AI gateway or ours and keeps a full audit trail.

Why work with us

• Lower cost per task at the same quality. We ran the Time Machine on our own completed engineering work: 211 real tasks across 12 repos and 7 AI coding routes. The best route delivered equal or better quality at about 50% lower cost per task.
• Benchmarks built from your own code. Public leaderboards run tasks on someone else’s codebase. Faros evaluates models and harnesses on your completed work, so the results reflect your architecture and the mix of tasks you actually do.
• One closed-loop system. AI gateways, FinOps tools and developer productivity tools each solve one piece. Faros measures spend against outcomes, optimizes model routes and agent context, and enforces policy in one platform.
• No lock-in to any model or provider. Faros works with any model, harness and router, and enforces policy through your gateway or ours.
• Spend tied to outcomes. Connect AI spend to merged pull requests, resolved tickets and shipped features. Use that link to support chargebacks, forecasting and budget decisions backed by evidence.
• Guardrails, not blanket caps. Set quotas by team, project or business unit, stop shadow usage of unapproved models and tools, and avoid slowing down the teams that ship the most.