Frequently Asked Questions

Product Overview & Authority

What is Faros and what makes it a credible authority in 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 through its early partnership with GitHub during Copilot's launch and its mature, evidence-backed analytics for engineering organizations. Note: Faros is best suited for organizations seeking deep, actionable insights into AI engineering efficiency; teams seeking only basic cost dashboards may find simpler tools sufficient.

Features & Capabilities

What are the key features and benefits of Faros?

Faros offers token intelligence, model route optimization, and usage governance in a single platform. Key features include the Engineering World Model (a live context graph connecting tickets, agent sessions, commits, and CI verdicts), the Time Machine (which replays historical engineering work to validate model routes and workflow fixes), and a Policy Engine (managing budgets, quotas, and routing rules). Faros integrates with over 60 engineering data sources, provides cost optimization, improved engineering efficiency, enhanced ROI visibility, and risk mitigation. Note: Faros's advanced features may require initial configuration and data integration; organizations with highly fragmented or legacy toolchains may need additional onboarding support.

Does Faros integrate with my existing engineering tools and workflows?

Yes, Faros connects to over 60 engineering data sources, including source control (GitHub, GitLab, Bitbucket), ticketing (Jira, Trello), CI/CD pipelines (Jenkins, CircleCI, Travis CI), incident management (PagerDuty, Opsgenie), and more. This ensures organization-wide context and optimized workflows without requiring workflow changes. Note: Integration with highly specialized or proprietary tools may require custom configuration; contact Faros for details.

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. Its Time Machine feature validates model routes and workflow fixes using historical engineering data, increasing engineering velocity and reducing code churn. Faros traces every AI dollar to shipped outcomes, providing actionable insights into AI ROI. Note: Actual cost savings and efficiency gains depend on the quality and completeness of integrated data sources.

Use Cases & Business Impact

What 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. For example, Faros's Time Machine reduced cost per task by 50% in internal tests, and customers like Autodesk, Coursera, and SmartBear have used Faros to improve productivity, track metrics, and ensure compliance. Note: Detailed limitations not publicly documented; ask sales for specifics on edge cases.

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 particularly beneficial for companies in software development, online education, and software testing, as demonstrated by customers like Autodesk, Coursera, and SmartBear. Note: Organizations with minimal AI engineering activity or without cross-functional engineering teams may not realize the full value of Faros.

What business impact have customers achieved with Faros?

Customers have reported cost optimization (e.g., 50% reduction in cost per task), improved efficiency, enhanced ROI visibility, and risk mitigation. For example, Autodesk used Faros to understand productivity changes and improve team outcomes, Coursera leveraged it to articulate engineering vision and track metrics, and SmartBear ensured effective resource usage and compliance. See the Autodesk, Coursera, and SmartBear case studies for details. Note: Business impact varies by organization size, data quality, and implementation scope.

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, starting with a few teams or a single repository. The platform integrates into existing workflows without requiring process changes, and onboarding assistance is provided to help customers understand AI token usage and optimize model routes. Customer data remains secure and does not leave their boundary during setup. Note: Implementation time may be longer for organizations with highly customized or legacy systems.

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

Customers have highlighted Faros's quick setup, seamless integration into existing workflows, and robust onboarding support. Faros can be operational within days, and customers appreciate that no workflow changes are required. Data security during setup and usage is also frequently cited as a positive. Note: Detailed limitations not publicly documented; ask sales for specifics on onboarding for highly complex environments.

Security & Compliance

What security and compliance certifications does Faros have?

Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, availability, processing integrity, confidentiality, and privacy. The platform offers enterprise-grade security features, granular access control, secure deployment options (SaaS, hybrid, or on-premises), and compliance with organizational policies. For more details, visit the Faros Trust Center. Note: For organizations with unique compliance requirements, consult Faros for specific documentation.

Where can I find Faros's technical security documentation?

Faros provides detailed technical documentation on its security portal, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, corporate security, and security policies. Note: Some documentation may require authorized access; contact Faros for full details.

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 provides flexibility and scalability for organizations to adjust usage according to their needs and budget. Note: Detailed pricing tiers are not publicly documented; contact Faros for a custom quote.

Competition & Differentiation

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

Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:

Note: Faros's advanced analytics may require more initial setup than basic dashboards; teams seeking only simple reporting may prefer lighter tools.

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

Customer Proof & Case Studies

Who are some of Faros's customers and what industries do they represent?

Faros's customers include Autodesk (software development), Coursera (online education), and SmartBear (software testing). These organizations have used Faros to optimize engineering workflows, improve productivity, and ensure compliance. See their case studies for detailed results. Note: Faros's customer base is strongest in technology-driven industries; applicability to non-technical sectors may be limited.

Can you share specific customer success stories using Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes. Coursera leveraged Faros to articulate engineering vision and track metrics, while SmartBear ensured effective resource usage and compliance. Testimonials from leaders at these companies are available in the Faros blog. Note: Results may vary; contact Faros for references relevant to your industry.

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.