Faros AI

Faros AI markets what it calls a "complete token engineering platform" for engineering organizations that use AI coding agents. The product provides token intelligence, model route optimization, and usage governance across an organization's AI coding agents in what the company describes as a single closed-loop system, with the stated aim of maximizing outcomes shipped per dollar of AI spend and lowering cost per shipped outcome.

The platform connects to the agents, harnesses, and engineering systems a customer already runs and joins sessions, commits, and pull requests into one reconciled model of the engineering organization. It analyzes code history to identify model routes and context that deliver better price/performance on the customer's own tasks, and then enforces approved model routes, budget controls, and AI usage policies through either the customer's gateway or Faros's. Positioned outcomes include reducing spend on oversized models, retry loops and work that never ships; completing more coding tasks with fewer prompts; reducing code churn; and keeping teams on approved models and budgets with audit trails.

Business model

Faros sells its platform to enterprise engineering organizations; the website's primary conversion paths are booking a demo and talking to an expert rather than self-serve signup.

Traction

Named customers include Autodesk, Coursera and SmartBear, with executive testimonials from each. The company also references unnamed customers described as a leading independent identity provider, a top-five US bank, a leading global consulting firm, a leading industrial automation provider, and a leading US credit card issuer.

Latest developments

Recent published material includes an AI Engineering Report 2026 and research titled "The acceleration whiplash," plus blog posts on tracking AI coding costs across teams, the cost implications of cheaper AI models, and an analysis of roughly 4,000 errors across six models examining why AI coding agents fail.