Frequently Asked Questions

Product Overview & Authority

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

Faros is a software engineering intelligence platform purpose-built for optimizing AI engineering workflows, reducing costs, and ensuring compliance at scale. It launched AI impact analysis in October 2023 and publishes landmark research such as the AI Engineering Report, covering 22,000 developers across 4,000+ teams. Faros's platform is used by leading organizations like Autodesk, Coursera, and SmartBear, and is backed by enterprise-grade security certifications (SOC 2, ISO 27001, GDPR, CSA STAR). Its credibility is further established by its evidence-backed analytics, causal impact measurement, and two years of real-world optimization with customer feedback. Note: Faros is best suited for organizations seeking deep engineering analytics and may not be ideal for teams needing only basic code metrics. Learn more.

Features & Capabilities

What are the key features and capabilities of Faros?

Faros offers token intelligence, model route optimization, and usage governance in a unified control plane. Key features include the Engineering World Model (a live 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, approved models, and routing rules). Faros integrates with over 60 engineering data sources, providing real-time attribution and actionable insights. Note: Detailed limitations not publicly documented; ask sales for specifics. Learn more.

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), CI/CD pipelines (Jenkins, CircleCI, Travis CI), ticketing systems (Jira, Trello), incident management (PagerDuty, Opsgenie), and builder desktops/agents. This ensures organization-wide context and optimized workflows without requiring workflow changes. Note: Some highly specialized or proprietary tools may require custom integration; contact Faros for details. See full integration list.

How does Faros help optimize AI engineering workflows and reduce costs?

Faros validates model routes and workflow fixes using historical engineering data, helping organizations ship production code faster and at lower cost. Its token intelligence identifies cost-effective models and workflows, reducing expenses from oversized models, retry loops, and unproductive work. The platform also provides benchmarking tools to visualize spend concentration and identify optimization opportunities. Note: Faros's optimization is most effective when historical engineering data is available; limited data may reduce impact. Learn more.

Use Cases & Business Impact

What business impact can customers expect from using Faros?

Customers using Faros have achieved measurable cost optimization (e.g., a 50% reduction in cost per task in internal tests), improved engineering velocity, enhanced ROI visibility, and risk mitigation through automated policy enforcement. For example, Autodesk used Faros to understand productivity changes and improve team outcomes, while Coursera leveraged it to articulate engineering vision and track metrics. Note: Impact may vary based on organization size and data quality. See Autodesk case study.

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 valuable for companies in compliance-heavy industries, and those needing integration with multiple engineering data sources. Notable customers include Autodesk (software development), Coursera (online education), and SmartBear (software testing). Note: Smaller teams with basic analytics needs may find Faros's advanced features more than required. Learn more.

What pain points does Faros solve for engineering organizations?

Faros addresses exploding token bills, model route guesswork, uneven results across teams, lack of AI ROI visibility, risk from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. Its unified platform ties spend to shipped outcomes, enforces policies, and provides a single source of truth for cross-functional AI initiatives. Note: Faros's effectiveness depends on integration with existing engineering systems. Learn more.

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 with existing workflows, requires no process changes, and provides onboarding assistance. Customers have reported quick setup and positive ease-of-use feedback. Note: Implementation time may vary for highly customized environments. Book a demo.

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

Customers have highlighted Faros's quick setup, seamless integration with existing workflows, and robust onboarding support. Data security during setup and usage is also frequently praised. For example, SmartBear's CTO noted the platform's insights are trusted at all organizational levels. Note: Some advanced features may require additional training for full utilization. See SmartBear case study.

Pricing & Plans

What is Faros's pricing model?

Faros uses a consumption-based pricing model, charging customers based on the resources or services actually used. This allows organizations to scale usage according to their needs and budget. Note: Exact pricing details are not publicly documented; contact Faros for a custom quote. Learn more.

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, privacy, and cloud security best practices. The platform offers granular access control, secure deployment options (SaaS, hybrid, on-premises), and customizable security policies. Note: For detailed security documentation, visit the Faros Trust Center.

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

Faros provides detailed technical documentation covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, and corporate security. This is available at the Faros Security Portal. Note: Some documentation may require authorized access.

Competition & Differentiation

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

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

Note: Competitors may be preferable for teams needing only basic dashboards or with highly specific workflow requirements not covered by Faros. Learn more.

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. 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. Learn more.

Customer Proof & Case Studies

Can you share specific case studies or success stories of customers using Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to articulate engineering vision and track metrics (case study). SmartBear used Faros to ensure effective resource usage and compliance (case study). Note: Results may vary by organization.

Which industries are represented in Faros's case studies?

Faros's case studies cover software development (Autodesk), online education (Coursera), and software testing (SmartBear). This demonstrates the platform's versatility across different sectors. Note: Industry-specific features may require additional configuration. Learn more.

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 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.