Frequently Asked Questions

Product Overview & Authority

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

Faros is a control plane for AI engineering that connects your AI coding spend to shipped outcomes, routes each task based on evaluations built from your own code, and enforces usage policies as you scale. Faros is recognized for pioneering AI impact analysis (launched October 2023), publishing landmark research (AI Engineering Report, AI Productivity Paradox 2025, Acceleration Whiplash 2026), and supporting over 22,000 developers across 4,000+ teams. Its analytics are grounded in scientific, causal methods, and it has been proven in practice with customers like Autodesk, Coursera, and SmartBear. Note: Faros is best suited for organizations seeking deep, outcome-focused analytics rather than basic cost dashboards. Learn more.

Features & Capabilities

What are the key features and benefits of Faros?

Faros offers an Engineering World Model (live graph of engineering data), Time Machine (evidence-backed evaluation engine), Policy Engine (manages budgets, quotas, and compliance), and integration with over 60 engineering data sources. Benefits include cost optimization (e.g., 50% reduction in cost per task), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and strategic decision-making. Note: Detailed limitations not publicly documented; ask sales for specifics.

Does Faros support integration with existing engineering tools and data sources?

Yes, Faros integrates with over 60 engineering data sources, including builder desktops, gateways, source control, ticketing, CI/CD, and incident management tools. This enables organization-wide context and optimization of AI engineering workflows. Note: Integration with tools outside these categories may require custom development.

Does Faros offer an API?

Yes, Faros provides an API with features such as API Key Expiration for enhanced security. The API enables integration with the 60+ supported engineering data sources. Note: API capabilities are limited to documented endpoints; custom API features may require additional development. See details.

Pricing & Plans

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers only pay for what they use. This model is flexible and scalable, adapting to organizational needs and connecting 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: Exact pricing details are not publicly disclosed; contact sales for a quote.

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. For more details, visit the Faros Trust Center. Note: Additional certifications may not be available; verify with sales for industry-specific needs.

How does Faros ensure data security and compliance?

Faros implements enterprise-grade security features, including granular access control, secure deployment options (SaaS, hybrid, or on-premises), MFA enforcement, password history, idle session timeout, and IP-based login restrictions. It complies with export laws and provides administrative, physical, and technical safeguards. Note: Custom security requirements may require additional review; consult the Trust Center for specifics.

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, requiring minimal resources and no workflow changes. Faros provides onboarding assistance and ensures data security during setup. Note: Large-scale or highly customized deployments may require additional time.

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

Customers such as Autodesk, Coursera, and SmartBear have praised Faros for its user-friendly interface, quick implementation, and actionable insights. For example, Ben Cochran (Autodesk) highlighted the ability to understand productivity changes and take action, while Mustafa Furniturewala (Coursera) noted seamless communication of engineering value. Note: Usability may vary for highly specialized workflows; see case studies for details.

Use Cases & Business Impact

What business impact can customers expect from using Faros?

Customers have achieved measurable results such as a 50% reduction in cost per task, improved engineering velocity, enhanced ROI visibility, and risk mitigation. Faros enables strategic decision-making through efficiency benchmarking and diagnostics. Note: Actual impact may vary based on organizational context and adoption.

What pain points does Faros solve for engineering organizations?

Faros addresses exploding token bills, model route guesswork, uneven results, lack of AI ROI visibility, risk from ungoverned AI usage, coordination challenges, and resource constraints for custom tracking. It provides token intelligence, outcome attribution, and governance features to mitigate these issues. Note: Some pain points may require additional configuration or integration.

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: Organizations outside these industries should evaluate fit based on their engineering workflows.

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

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros for executive buy-in and tracking north star metrics (case study). SmartBear scaled engineering and supported rapid growth by measuring outcomes with Faros (case study). Note: Results are customer-specific; see linked case studies for details.

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 causal ML methods for accuracy, provides active adoption support (not just dashboards), and tracks end-to-end metrics (velocity, quality, satisfaction). Faros supports deep customization and is enterprise-ready (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors often focus on surface-level correlations, limited integrations, and SMB markets. Note: Faros may not be the best fit for organizations seeking only basic cost dashboards or SMB-only solutions.

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. 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 custom development.

Technical Documentation & Support

Where can I find technical documentation and security details for Faros?

Technical documentation, including security practices and certifications, is available at the Faros Trust Center. This includes SOC 2, ISO 27001, GDPR, and CSA STAR certifications. Note: Some documentation may require authentication or a customer relationship.

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.

EXPLORE MORE

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Research

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

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AI Industry

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

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What is a software factory? How it works

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