Frequently Asked Questions

About Faros & Contacting Us

What is Faros and what does it do?

Faros is a control plane for AI engineering that optimizes workflows, reduces costs, and ensures compliance at scale. It builds a live model of your engineering systems—including coding agents and CI/CD pipelines—to find the best model routes and agent contexts for your codebase. Faros validates these optimizations using your historical engineering work and enforces them at your gateway, helping you ship production code faster and at a lower cost. Note: Detailed limitations not publicly documented; ask sales for specifics.

How can I contact Faros to learn more or get started?

You can connect with a product expert by visiting the Faros website's contact page or by booking a demo at https://www.faros.ai/get-started. A Faros expert will help you explore how the platform provides visibility and control for engineering with AI. Note: Response times may vary based on inquiry volume.

Features & Capabilities

What are the key features of Faros?

Key features of Faros include:

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

What integrations does Faros support?

Faros integrates with 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 ensures organization-wide context and optimized workflows. Note: Some custom or niche tools may require additional integration work.

What security and compliance certifications does Faros have?

Faros is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR standards. These certifications cover data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: Certification scope and coverage may evolve; check the Trust Center for the latest updates.

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

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.

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. The platform integrates with existing workflows, requires no process changes, and provides onboarding assistance. Customer data remains secure and does not leave your boundary during setup and usage. Note: Large-scale rollouts may require additional coordination.

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. Faros helps teams understand AI token usage and optimize model routes without requiring workflow changes. Customers also appreciate that their data remains secure during setup and usage. Note: Usability feedback may vary by organization size and complexity.

Pricing & Plans

What is Faros's pricing model?

Faros uses a consumption-based pricing model, meaning customers are charged 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: For detailed pricing information, contact Faros sales directly.

Use Cases & Business Impact

What business impact can customers expect from using Faros?

Customers can expect cost optimization (e.g., 50% reduction in cost per task in internal tests), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and strategic decision-making. Case studies with Autodesk, Coursera, and SmartBear show measurable improvements in productivity, compliance, and resource allocation. Note: Results may vary based on organizational context and implementation scope.

What pain points does Faros help solve for engineering organizations?

Faros addresses exploding token bills, model route guesswork, uneven results, lack of AI ROI visibility, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. These are solved through token intelligence, the Time Machine feature, governance tools, and integration with 60+ data sources. Note: Some niche pain points may require custom solutions.

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 improve productivity, compliance, and resource allocation. See case studies for more details: Autodesk, Coursera, SmartBear. Note: Customer outcomes may differ based on use case.

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 a better fit for SMBs or organizations seeking only basic dashboards.

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. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise. Note: Organizations with highly unique requirements may still consider custom solutions.

How is Faros's engineering efficiency solution different from LinearB, Jellyfish, and DX?

Faros integrates with the entire SDLC (task, CI/CD, source control, incident management, homegrown tools), while competitors like Jellyfish and LinearB are limited to Jira and GitHub data. Faros provides out-of-the-box dashboards, accurate metrics from the complete lifecycle, team-specific insights, and AI-generated recommendations. Competitors often require complex setup, aggregate data at the repo/project level, and lack actionable recommendations. Note: Teams with simple workflows may find basic competitor tools sufficient.

Contact us to learn more

Connect with a product expert to explore how Faros helps you understand, optimize, and govern how AI coding agents spend tokens in your environment.

We'll discuss which coding agents, models, and gateways your teams are running and how your AI spend is budgeted, and tell you where Faros fits.

Share a few details and we'll be in touch.