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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Faros AI
Faros AI

Faros AI

Founded 2019

Track AI coding agent spend and route tasks to cost-effective models

You can use Faros to monitor and manage how your engineering organization uses AI coding agents. The system connects to your repositories and developer workflows, tracing token expenditure directly to completed pull requests, resolved incidents, and shipped features. You can evaluate model performance against your own code history to automatically route coding tasks to the most cost-effective models. Additionally, Faros lets you set team budgets, enforce compliance rules, and maintain full audit logs to keep your development safe, productive, and cost-efficient as AI adoption expands.

What Faros AI does

Connect code repositories to monitor token usage across coding agentsRoute developer coding tasks to the cheapest effective AI modelCalculate return on investment for AI coding assistantsSet spending caps and usage alerts for software engineering teamsBenchmark AI model accuracy against historical pull requestsMaintain compliance audit trails for generated code and agent sessionsTraces token usage directly to merged pull requests and shipped featuresRoutes tasks to models based on evaluation benchmarks from your codebaseControls developer spend through custom budget caps and policy rulesEvaluates model cost and output quality using historical repository dataBuilds an audit trail of agent sessions, commits, and reviewsUnifies data across multiple coding agent tools into a single graph

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Faros, token engineering, AI coding agents, model routing, token spend, AI governance, code analytics, engineering metrics, developer productivity, code evals, AI ROI, cost allocation, token management, LLM routing, developer tools