Frequently Asked Questions

Token Engineering & Platform 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 web page details how Faros enables organizations to observe, optimize, and govern AI coding by building a live model of engineering work, tracing token spend to outcomes, and enforcing policies 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—coding agents, gateways, source control, tickets, CI/CD pipelines, and incidents. Faros finds the model routes and agent context best suited to your codebase, proves them on your own work, and enforces them at your gateway. This enables organizations to ship production code faster and at lower cost, with full observability, optimization, and governance of AI coding spend and outcomes. Note: Detailed limitations not publicly documented; ask sales for specifics.

What are the main components of the Faros platform?

Faros consists of three core components:

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

Features & Capabilities

What features does Faros offer for AI engineering teams?

Faros offers features including:

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

Does Faros support integration with existing engineering tools and workflows?

Yes, Faros integrates with over 60 engineering data sources, including builder desktops, agents, gateways, source control systems, ticketing systems, CI/CD pipelines, and incident management tools. This allows organizations to connect Faros to their existing workflows without requiring process changes. Note: Integration with tools outside these categories may require custom development; 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 enables integration with over 60 engineering data sources and supports secure, automated workflows. Note: API feature set may evolve; consult Faros documentation for the latest capabilities.

Use Cases & Business Impact

What problems does Faros solve for engineering organizations?

Faros addresses challenges such as 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. It provides token intelligence, outcome attribution, evidence-backed validation, and governance to optimize AI engineering workflows and reduce costs. Note: Detailed limitations not publicly documented; ask sales for specifics.

What business impact can customers expect from using Faros?

Customers have seen measurable results such as a 50% reduction in cost per task (using the Time Machine), improved 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: Results may vary by organization; detailed limitations not publicly documented.

Who uses Faros and what industries are represented in its case studies?

Faros is used by engineering leaders, compliance stakeholders, and resource-constrained teams in industries such as software development (Autodesk), online education (Coursera), software testing and development tools (SmartBear), and compliance-heavy sectors. These organizations use Faros to improve productivity, cost efficiency, and compliance. Note: Faros may not be suitable for industries without engineering or AI coding workflows.

Can you share specific customer success stories with Faros?

Yes.

Note: Results are customer-specific; detailed limitations not publicly documented.

Implementation & Ease of Use

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 and see immediate results. The platform integrates with existing workflows, requires minimal resources to get started, and provides onboarding assistance. Data remains within customer boundaries during setup and usage. Note: Implementation time may vary for complex environments; ask sales for specifics.

What feedback have customers given about Faros's ease of use?

Customers have highlighted Faros's user-friendly interface, quick implementation, and seamless integration into workflows. For example, Ben Cochran (Autodesk) noted Faros's actionable insights, Mustafa Furniturewala (Coursera) praised its clarity for executive buy-in, and Vineeta Puranik (SmartBear) emphasized its intuitive design for all organizational levels. Autodesk case study, Coursera case study, SmartBear case study. Note: User experience may vary; detailed limitations not publicly documented.

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, privacy, and cloud security best practices. For more details, visit the Faros Trust Center. Note: Certification scope and status may change; consult the Trust Center for the latest information.

How does Faros ensure data security and compliance?

Faros implements enterprise-grade security with granular access control, secure deployment options (SaaS, hybrid, on-premises), and compliance with organizational policies for authentication, access, and data handling. Tenant owners can tailor security settings (MFA, password history, session timeout, IP restrictions). Faros complies with US, EU, and other export laws. For technical documentation, visit the Faros Trust Center. Note: Security features may vary by deployment; ask sales for specifics.

Where can I find technical documentation for Faros?

Comprehensive technical, trust, and security documentation for Faros is available at the Faros Trust and Security Documentation Page. This includes details on security practices, certifications, and compliance measures. Note: Documentation may be updated; refer to the Trust Center for the latest information.

Pricing & Build vs Buy

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers only pay for what they use. Pricing scales with usage, adapts to organizational needs, and connects spend directly to shipped outcomes. 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.

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: Organizations with highly unique requirements may still need custom solutions; ask sales for a fit assessment.

THE COMPLETE TOKEN ENGINEERING PLATFORM

Maximize your
AI coding outcomes

Observe what your AI produces, optimize your model routes and agent context, and govern how your software factory runs.

ARCHITECTURE

What happens inside Faros

Faros builds a live model of your engineering from the systems you already run, coding agents to CI/CD. It finds model routes and agent context best suited to your codebase, proves them on your own work, and enforces them at your gateway. So you ship production code faster and at lower cost.

Engineering world model

Joins engineering semantics, operational data, and token flow into one live graph: tickets, agent sessions, commits, PRs, and CI verdicts. Attribution runs per session, per PR, per team, per model, and stays current as your tools change.

Time machine

An evidence-backed evaluation engine, built on your organization's own completed work, scoring every route against what actually shipped. Unlike public benchmarks, its results don't need to transfer to your codebase. They come from it.

Policy engine

Manages your policies across the organization, budgets and quotas, approved models, routing rules, and distributes them to your gateways and harnesses for enforcement while the factory runs. Every action lands in the audit trail.

OBSERVABILITY

Token intelligence across all your engineering teams

Faros ties token spend to sessions, PRs, teams, and outcomes. Token spend rolls up to answers instead of estimates. Connect Faros directly to your own AI agents so they can pull any data and build any dashboard your team needs.

Spend attribution

Ground every dollar of spend in real outcomes. Instantly see which models and projects are earning their cost.

Efficiency benchmarking

See every team’s efficiency and strategic importance in one view, sized by spend, so you know what to protect and scale, hold steady, fix, or cut back.

Engineering metrics

All of your engineering data in one queryable graph, joined to AI spend. Connect your agents so they can build any dashboard your team needs.

AI Spend Treemap
OPTIMIZATION

Maximized outcomes, verified against your work

Faros doesn't stop at showing you the leaks. It mines your history for the highest-ROI model routes, agent context, and workflow fixes, verifies each one with the Time Machine, and delivers it ready to apply.

Model routings

Implement optimal model routes that work best in your environment, derived from your own engineering work.

Context engineering

Connect your agents to Faros to give them the full context of your repo-specific skills, and rules, supercharging their planning and execution.

SDLC discoveries

Neutralize efficiency bottlenecks via findings specific to your AI Engineering environment.

GOVERNANCE

Guardrails that minimize risk as you grow

Optimization scales only if it's governed. Faros keeps your organization inside its guardrails as usage increases, with policies enforced while work happens.

Budgets & quotas

Ensure compliance with your team-specific usage policies.

AI risk & guardrails

Define which models, harnesses, and configurations each team is allowed to use, and keep every choice within policy.

Violation monitoring

See which teams are violating budget, quota, or risk policies.

Auditability

Tie every shipped change back to the spend, model, agent, and context that produced it.

HOW FAROS STACKS UP

Designed and built for AI Engineering

Grounded in your engineering context, Faros is the only closed-loop system that maximizes engineering outcomes without locking you into any model or provider.

Unlike coding harnesses or standalone models

Faros works across arbitrarily heterogeneous environments of harnesses and models.

Unlike AI gateways

Faros optimizes AI workflows based on your specific engineering context and works with any router - yours or ours.

Unlike developer productivity tools

Faros optimizes how your agents work inside engineering environments, instead of developers.

Unlike FinOps tools

Faros goes beyond cost reporting to optimize AI workflows inside engineering environments.

ORGANIZATION-WIDE CONTEXT

Connects with everything AI engineering

Faros works by connecting to the systems where AI coding work already lives, from builder desktops and agents to gateways, source control, tickets, CI/CD pipelines, and incidents.

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.

Enterprise-grade security

Faros is built to enterprise-grade standards and is SOC 2 Type II, ISO 27001, and GDPR compliant. Your data never leaves your boundary. Learn more about security practices.

FAQS

What engineering leaders are asking us

Every engineering leader arrives with a different question. These are the ones we hear most.

How does Faros work?
What kind of results can Faros deliver?
How can Faros tell me what outcomes my AI budget actually delivered?
How can Faros tell me how much of my AI spend goes to waste?
How is Faros different from a model router?
Why should I use Faros when I can just select a cheaper model?
Cover of a field guide titled Measuring Token Efficiency in AI Engineering with 14 key metrics to track and use.
THE PLAYBOOK

Three outcome signals. Eleven guardrail metrics.
One framework for running AI spend.

Get a teardown of your last 30 days. Every token traced to the outcome it shipped, and the models your work actually needs.