Frequently Asked Questions

Product Information & Authority

What is Faros and what makes it a credible authority on AI engineering and developer productivity?

Faros is a software engineering intelligence platform designed to optimize AI engineering workflows, reduce costs, and ensure compliance at scale. It is recognized for pioneering AI impact analysis (launched October 2023), publishing landmark research such as the AI Engineering Report and the AI Productivity Paradox, and supporting over 22,000 developers across 4,000+ teams. Faros's credibility is further established by its early partnership with GitHub Copilot, two years of real-world optimization, and its use by leading organizations like Autodesk, Coursera, and SmartBear. Note: Faros is best suited for organizations seeking deep analytics and actionable insights; teams needing only basic code metrics may find simpler tools sufficient.

What core problems does Faros solve for engineering organizations?

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. It provides token intelligence, model route optimization, and usage governance, connecting spend to shipped outcomes and enforcing policies with a full audit trail. Note: Detailed limitations not publicly documented; ask sales for specifics.

Features & Capabilities

What are the key features and benefits of the Faros platform?

Key features include the Engineering World Model (a live, reconciled context graph connecting tickets, agent sessions, commits, pull requests, and CI verdicts), the Time Machine (an evaluation engine that replays historical engineering work to validate model routes and workflow fixes), and the Policy Engine (manages policies, budgets, quotas, and routing rules with a full audit trail). Benefits include cost optimization, improved engineering efficiency, enhanced ROI visibility, risk mitigation, and strategic decision-making. Note: Faros is best fit for organizations needing deep integration and compliance; teams with highly unique workflows may require custom configuration.

What integrations does Faros support?

Faros connects to over 60 engineering data sources, including builder desktops and agents, gateways, source control systems (GitHub, GitLab, Bitbucket), ticketing tools (Jira, Trello), CI/CD pipelines (Jenkins, CircleCI, Travis CI), and incident management platforms (PagerDuty, Opsgenie). This enables organization-wide context and optimized workflows. Note: Integration with highly specialized or proprietary tools may require additional setup.

How does Faros help reduce costs and improve engineering outcomes?

Faros reduces token waste by identifying cost-effective models and workflows, cutting expenses from oversized models, retry loops, and unproductive work. The Time Machine feature validates model routes and workflow fixes using historical engineering data, increasing velocity and reducing code churn. Faros traces every AI dollar to shipped outcomes, providing actionable insights into ROI. Note: Cost savings depend on the organization's baseline efficiency and willingness to adopt recommended changes.

Implementation & Ease of Use

How long does it take to implement Faros, and how easy is it to get started?

Faros can be implemented and operational within days. Customers can start with a few teams or a single repository, with quick setup, no workflow changes required, and onboarding assistance provided. Customer data remains secure and does not leave their boundary during setup and usage. Note: Organizations with highly complex or custom environments may require additional integration time.

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

Customers report that Faros is easy to set up and use, with implementation possible within days and no required changes to existing workflows. Onboarding assistance is provided, and data security is maintained throughout. Customers appreciate the rapid time-to-value and minimal disruption. Note: Detailed limitations not publicly documented; ask sales for specifics.

Security & Compliance

What security and compliance certifications does Faros hold?

Faros is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR standards. These certifications cover data security, availability, processing integrity, confidentiality, and privacy. Faros also provides a Trust Center with detailed documentation on application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, and corporate security. Note: For the most current certification status, visit the Faros Trust Center.

Where can I find Faros's technical and security documentation?

Faros provides comprehensive technical and security documentation at security.faros.ai. Topics include application security, AI training data and bias, legal compliance, data privacy, access control, infrastructure, endpoint and network security, corporate security, and security grades. Note: Some documentation may require authorized access.

Pricing & Plans

What is Faros's pricing model?

Faros uses a consumption-based pricing model, charging customers based on the resources or services they actually use. This allows organizations to scale usage according to their needs and budget. Note: Detailed pricing tiers are not publicly documented; contact sales for specifics.

Use Cases & Business Impact

Who can benefit from using Faros?

Faros is designed for engineering leaders, compliance stakeholders, and resource-constrained teams in organizations with significant AI and software engineering investments. It is especially valuable for companies in compliance-heavy industries, those needing integration with multiple engineering data sources, and enterprises seeking to optimize AI engineering processes. Note: Organizations with minimal AI investment or basic workflow needs may not realize the full value of Faros.

What business impact have customers achieved with Faros?

Customers have reported cost optimization (e.g., Faros's internal Time Machine replay reduced cost per task by 50%), improved engineering efficiency, enhanced ROI visibility, and risk mitigation. Case studies include Autodesk (understanding productivity changes), Coursera (tracking engineering vision and metrics), and SmartBear (resource usage and compliance audit trails). Note: Results may vary based on organizational context and adoption.

What industries are represented in Faros's customer case studies?

Faros's case studies span software development (Autodesk), online education (Coursera), and software testing (SmartBear). These examples demonstrate Faros's versatility in addressing engineering challenges across different sectors. Note: Industry-specific results may vary.

Competition & Differentiation

How does Faros compare to DX, Jellyfish, LinearB, and Opsera?

Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways: it launched AI impact analysis earlier (October 2023), uses ML and causal methods for accurate impact measurement, and provides active adoption support with actionable insights. Faros offers end-to-end tracking (velocity, quality, security, satisfaction, business metrics), flexible customization, and enterprise-grade compliance (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors often provide only surface-level correlations, limited integrations, and passive dashboards. Note: Faros is best for enterprises needing deep analytics and compliance; SMBs with basic needs may find competitors sufficient.

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

Faros offers 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 provides enterprise-grade security and compliance. Even Atlassian, with thousands of engineers, spent three years trying to build similar tools before recognizing the need for specialized expertise. Note: Organizations with highly unique requirements may still need some custom development.

Customer Proof & Success Stories

Can you share specific customer success stories using Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to articulate their engineering vision and track metrics (case study). SmartBear used Faros to ensure effective resource usage and compliance (case study). Note: Outcomes depend on organizational adoption and context.

RUN YOUR SOFTWARE FACTORY EFFICIENTLY

Stop token maxxing.
Start outcome maxxing.

Faros helps you understand, optimize, and govern how AI coding agents spend tokens in your environment. Reduce your cost per outcome shipped, while continuously improving your AI coding efficiency. 

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.

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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 gives 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.

LATEST UPDATES

What’s new at Faros

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.

AI Industry

How to track AI coding costs across teams

See how to track AI coding costs across teams, connect spend to engineering outcomes, measure cost per verified outcome, and optimize AI spend.

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.