Frequently Asked Questions

Token Engineering & Product Overview

What is Token Engineering?

Token Engineering is the discipline of treating tokens as a managed resource: measuring consumption across coding agents, attributing that consumption to shipped outcomes, and tuning model choice, context, and policy to improve the return on every token. Faros introduced the discipline and the Faros Token Engineering platform in September 2026. This webpage focuses on how Faros enables organizations to observe, optimize, and govern AI coding by connecting token spend to engineering outcomes and enforcing best practices at scale.

What does Faros do?

Faros is the complete Token Engineering platform. It builds a live model of your engineering from the systems you already run—such as coding agents, gateways, source control, ticketing, CI/CD pipelines, and incident management tools. Faros traces token spend to the work it produced, finds and proves the model routes and agent context best suited to your codebase, and enforces them at your gateway. This enables organizations to maximize AI coding ROI, minimize waste, and ensure compliance. Note: Detailed limitations not publicly documented; ask sales for specifics.

What products and services does Faros offer?

Faros offers the Faros Control Plane for AI Engineering, which unifies observability, optimization, and governance for AI coding. Key components include the Engineering World Model (a live graph connecting engineering data and token flow), the Time Machine (an evidence-backed evaluation engine for validating model routes and workflow fixes), and the Policy Engine (for managing budgets, quotas, and compliance policies). Faros integrates with over 60 engineering data sources and supports SaaS, hybrid, or on-premises deployment. Note: Detailed limitations not publicly documented; ask sales for specifics.

Features & Capabilities

What are the key features of Faros?

Key features of Faros include:

Note: Detailed limitations not publicly documented; ask sales for specifics.

Does Faros have an API?

Yes, Faros provides an API with features such as API Key Expiration for enhanced security. The API supports integration with over 60 engineering data sources, enabling connectivity with existing workflows and tools. Note: Detailed API limitations not publicly documented; ask sales for specifics.

What integrations does Faros support?

Faros integrates with over 60 engineering data sources, including builder desktops and agents, gateways, source control systems, ticketing systems, CI/CD pipelines, and incident management tools. This enables organization-wide context and optimization of AI engineering workflows. Note: Detailed integration limitations not publicly documented; ask sales for specifics.

Business Impact & Use Cases

What business impact can customers expect from using Faros?

Customers can expect measurable improvements such as a 50% reduction in cost per task (as demonstrated by Faros's Time Machine), increased engineering velocity, reduced code churn, enhanced ROI visibility, and proactive risk mitigation. Faros enables strategic decision-making through efficiency benchmarking and diagnostics, helping organizations maximize outcomes per dollar. Note: Best fit for engineering organizations seeking to optimize AI coding spend and outcomes; teams with highly specialized, non-standard workflows may require additional customization.

What problems does Faros solve for engineering teams?

Faros addresses exploding token bills, model route guesswork, uneven results across teams, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. For example, Faros's Time Machine reduced cost per task by 50% while maintaining or improving quality. Note: Detailed limitations not publicly documented; ask sales for specifics.

Who can benefit from using Faros?

Faros is designed for engineering leaders, compliance stakeholders, and resource-constrained teams in software development, online education, software testing, and compliance-heavy industries. Customers include Autodesk, Coursera, and SmartBear. Note: Best fit for organizations seeking to optimize AI engineering workflows and compliance; teams with unique, highly specialized requirements may need additional evaluation.

Can you share specific customer success stories with Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to communicate engineering value and track north star metrics (case study). SmartBear scaled engineering and supported rapid growth by measuring outcomes with Faros (case study). Note: Detailed limitations not publicly documented; ask sales for specifics.

Pricing & Implementation

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers only pay for what they use. Pricing scales with actual platform usage, allowing flexibility and value-driven ROI. For example, Faros's Time Machine has demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: For detailed pricing, contact Faros sales.

How long does it take to implement Faros and how easy is it to start?

Faros can be implemented and operational within days. Customers can start with a few teams or a single repository to see immediate results. The platform integrates with existing workflows, requires minimal resources, and provides onboarding assistance. Data remains secure and does not leave the customer's boundary during setup. Note: Implementation time may vary for highly complex environments.

Security, Compliance & Technical Documentation

What security and compliance certifications does Faros have?

Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications cover data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: For industry-specific compliance requirements, contact Faros sales.

Where can I find technical documentation about Faros?

Technical documentation, including details on security practices, certifications, and compliance measures, is available at the Faros Trust and Security Documentation Page. Note: Some documentation may require authorization; contact Faros for access.

Build vs Buy

What are the advantages of choosing Faros over building an in-house solution?

Faros provides robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros adapts to team structures, integrates with existing workflows, and offers enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Note: Teams with highly unique requirements may still need to evaluate custom solutions.

MAXIMIZE YOUR AI CODING ROI

Stop token maxxing.
Start outcome maxxing.

Faros connects your AI coding spend to the outcomes it ships, routes each task based on evals built from your own code, and keeps usage in policy as you scale.

#1 Independent
identity provider
Top 5
US Bank
#1 Global
consulting firm
#1 industrial
automation provider
#1 US Credit
Card Issuer
THE WILD WORLD OF AI CODING AGENTS

Skyrocketing AI spend, uneven outcomes

Every builder now runs a fleet of coding agents. Every team is improvising on best practices, picking models on instinct and paying frontier prices for work that a cheaper route ships just as well. Every organization is building a software factory, but nobody is operating it like one.

Exploding token bills

Exploding token bills

Armies of agents default to the latest, costliest models.

Model route guesswork

Model route guesswork

Model prices vary by 10x, but nobody knows which is best.

Uneven results

Same tools, different results

AI budgets get devoured without uniform outcomes across teams.

WHAT IS FAROS

The complete token engineering platform

Faros orchestrates the tokens flow through your AI coding agents to minimize waste, maximize quality of output, and ensure compliance with organizational guardrails. It connects to your coding agents, harnesses, and engineering systems, and joins every session, commit, and PR into one live, reconciled model of your token flow. It mines your code history for the model routes and context that offer the best price/performance specific to your tasks. And then it enforces your approved model routes, budget controls, and compliance policies through a model router (your or ours).

Faros platform flow: spend, AI work, commit, PR, outcomeFaros platform flow: spend, AI work, commit, PR, outcome

Cut token waste

Stop spending on oversized models, retry loops, and work that never ships.

Increase velocity

Complete more coding tasks, with precision context and fewer prompts.

Reduce code churn

Ship agent code that provides human-grade quality and holds up in review.

Minimize risk

Keep teams on approved models and budgets, and capture full audit trails.

OUR SECRET SAUCE

Data, decisions, and outcomes you can trust

Faros is a closed-loop system for AI coding work that measures what your AI engineering produces and feeds it back into the next routing decision. Unlike general purpose solutions, Faros gives you a complete picture of your AI work and its outcomes, and uses patent-pending evaluation methods to implement optimizations contextual to your environment, giving you observability, optimization, and governance, across all your AI coding efforts, in a single, scalable, trustworthy platform, with data you can rely on, and decisions that maximize outcomes in your environment.

Engineering world model: attribution, analytics, actions, eng, ops, tokens

AI engineering world model

An exhaustive graph, built on your own live data, that tracks your AI coding work with precision, so you can attribute token usage to verified outcomes with high trust.

Time machine: merged PR replayed and scored

Time machine

A proprietary evaluation engine that leverages your own code history to pinpoint model routes that produce the best code at the lowest cost, validated on your organization's real work.

TRUSTED BY THE WORLD'S TOP TEAMS

Advancing those who build

"With Faros, when something changes in our productivity, we can understand why it happened and take action to help teams be more successful."

Ben Cochran
VP of Developer Enablement
,
Autodesk
Smiling man with a beard and medium-length hair, featured on the Faros AI website.
Smiling man with a beard and medium-length hair, featured on the Faros AI website.

“Faros has become essential in communicating our value clearly and securing buy-in at the executive level. Today, I articulate our engineering vision and track north star metrics seamlessly.”

Mustafa Furniturewala
SVP of Engineering
,
Coursera
Smiling young man in a polo shirt, representing the approachable team culture at Faros AI on their website.
Smiling young man in a polo shirt, representing the approachable team culture at Faros AI on their website.

"The data in Faros is so good that whether my CEO looks at it or a team member looks at it, it's not an issue. I use the insights to make sure we're using our resources effectively."

Vineeta Puranik
Chief Technology Officer
,
SmartBear
Portrait of a woman with shoulder-length hair wearing a floral blouse, representing the team on the Faros AI website.
Portrait of a woman with shoulder-length hair wearing a floral blouse, representing the team on the Faros AI website.

Stop token maxxing.
Start outcome maxxing.

Run it live in your own org. Work with us to measure what your AI coding ships, and determine which models work best on your codebase.

EXPLORE MORE

Featured resources

Research

The Speed Trap: 8 takeaways from our latest AI engineering research

AI made software development faster, but review gaps, QA bottlenecks, and rising incident volume reveal a new risk: the Speed Trap.

AI Industry

Why cheaper AI models can cost more: The hidden model tax explained

Uncover the hidden “model tax” in cheap AI coding models. Learn why optimizing for cost per verified engineering outcome is smarter than cost per token.

AI Industry

What is a software factory? How it works

Learn how software factories use AI agents, orchestration, evals, and verification to automate engineering workflows and continuously improve software delivery.