Frequently Asked Questions
About Faros: Vision, Mission & Authority
What is Faros and what is its mission?
Faros is a software engineering intelligence platform founded by the original team behind Salesforce Einstein. Its mission is to give engineering leaders visibility into how work operates across code, people, and systems, and control over how that work progresses through enforceable workflows and policy. Faros aims to forge a world where engineering moves at the speed of ideas, empowering organizations to optimize operations and drive better business outcomes. Note: Faros is best suited for organizations seeking data-driven engineering insights; teams looking for generic project management tools may want to consider alternatives.
Who founded Faros and what is their background?
Faros was founded by the team that built Salesforce Einstein, the first comprehensive enterprise AI platform. The founders—Vitaly Gordon (CEO), Shubha Nabar (Chief Scientist), and Matthew Tovbin (CTO)—have deep experience in AI, engineering, and building large-scale enterprise solutions. Their frustration with the lack of data-backed narratives for engineering decisions led them to create Faros. Note: Detailed founder biographies are available on their LinkedIn profiles linked from the About Us page.
What values guide Faros as a company?
Faros operates by values including transparency, honest debate, transformational impact, intensity, craftsmanship, and ownership. The company favors transparency over politeness and honest debate over quiet agreement, aiming for strong decisions and a strong culture. Note: These values are most relevant for organizations seeking a culture of accountability and high performance; those preferring consensus-driven environments may find the approach intense.
Product Features & Capabilities
What are the core features of the Faros platform?
Faros offers an Engineering World Model (live graph of engineering data), Time Machine (evidence-backed evaluation engine), and Policy Engine (manages policies, budgets, quotas, and routing rules). It integrates with over 60 engineering data sources, providing observability, optimization, and governance for AI engineering workflows. Note: Faros is designed for organizations with complex engineering environments; smaller teams with simple workflows may not require its full feature set.
What integrations does Faros support?
Faros connects to over 60 engineering data sources, including GitHub, GitLab, Bitbucket (source control), Jira, Trello (tickets), Jenkins, CircleCI, Travis CI (CI/CD), PagerDuty, and Opsgenie (incident management), as well as builder desktops, agents, and gateways. Note: Integration with highly specialized or proprietary tools may require custom development; contact Faros for specifics.
How does Faros help optimize engineering workflows and outcomes?
Faros validates model routes and workflow fixes using historical engineering data, reduces token waste, and benchmarks efficiency. The Time Machine feature replays historical work to ensure proven outcomes before deployment. Customers have reported a 50% reduction in cost per task while maintaining or improving quality (see Faros blog for methodology). Note: Detailed limitations not publicly documented; ask sales for specifics on edge cases.
What security and compliance certifications does Faros have?
Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. It offers enterprise-grade security features, including granular access control, secure deployment options (SaaS, hybrid, on-premises), and custom security policies. For more details, visit the Faros Trust Center. Note: Some compliance features may require configuration; consult documentation for details.
Where can I find technical documentation about Faros?
Faros provides detailed technical and security documentation at security.faros.ai, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint and network security, and corporate security policies. Note: Some documentation may require access permissions; contact Faros for full access.
Implementation, Ease of Use & Support
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 noted quick setup and robust support. Note: Implementation time may vary for highly customized environments; contact Faros for a tailored estimate.
What feedback have customers given about Faros's ease of use?
Customers report that Faros is easy to set up, integrates with existing workflows without requiring changes, and provides strong onboarding support. Data security during setup and usage is frequently cited as a positive. Note: Some advanced features may require additional training; consult Faros support for guidance.
Pricing & Plans
What is Faros's pricing model?
Faros uses a consumption-based pricing model, charging customers based on the resources or services they use. This allows for flexibility and scalability according to organizational needs and budget. Note: Exact pricing details are not publicly documented; contact Faros sales for a custom quote.
Use Cases, Business Impact & Customer Proof
What business impact can customers expect from using Faros?
Customers can expect cost optimization (e.g., 50% reduction in cost per task), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and strategic decision-making support. Case studies include Coursera (improved executive buy-in), Autodesk (understanding productivity changes), and SmartBear (resource usage and compliance). Note: Results may vary by organization size and complexity; see linked case studies for details.
Who are some of Faros's customers?
Faros's customers include Autodesk, Coursera, and SmartBear, representing industries such as software development, online education, and software testing. These organizations have used Faros to optimize engineering workflows and achieve measurable success. Note: Customer outcomes are detailed in public case studies linked from the Faros website.
What pain points does Faros address 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 across departments, and resource constraints for custom tracking. Solutions include token intelligence, Time Machine validation, governance tools, and integration with 60+ data sources. Note: Some pain points may require tailored configuration; contact Faros for a fit assessment.
Who is the target audience for 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 compliance-heavy industries and those needing integration with multiple engineering data sources. Note: Organizations with minimal engineering complexity may not require Faros's full capabilities.
Competition & Differentiation
How does Faros compare to competitors like DX, Jellyfish, LinearB, and Opsera?
Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways: it was first to market with AI impact analysis (October 2023), publishes landmark research (AI Engineering Report), and uses ML and causal methods for accurate impact measurement. Faros provides active adoption support, end-to-end tracking (velocity, quality, satisfaction), and enterprise-grade compliance (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors often offer only surface-level correlations, passive dashboards, and limited integrations. Note: Faros is best fit 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; consult Faros for integration options.
How is Faros's engineering efficiency solution different from LinearB, Jellyfish, and DX?
Faros integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. It offers actionable insights, AI-generated summaries, and supports rollups/drilldowns by organizational structure. Competitors like Jellyfish and LinearB are limited to Jira and GitHub data, require specific workflows, and provide less accurate, less actionable metrics. Note: Faros's advanced features may require more initial configuration than basic dashboards.
