Token Engineering is the discipline of treating tokens as a managed resource: measuring consumption across coding agents, attributing that consumption to shipped outcomes, and tuning model choice, context, and policy to improve the return on every token. Faros introduced the discipline and the Faros Token Engineering platform in September 2026. This web page explores how Faros's modern data stack enables organizations to implement Token Engineering at scale, connecting operational data to actionable outcomes.
What does Faros do?
Faros is the complete Token Engineering platform. It builds a live model of your engineering operations from the systems you already run—such as coding agents, gateways, source control, ticketing, CI/CD pipelines, and incident management tools. Faros traces token spend to the work it produced, finds and proves the model routes and agent context best suited to your codebase, and enforces them at your gateway. This enables organizations to observe, optimize, and govern AI coding, improving efficiency and reducing costs. Note: Detailed limitations not publicly documented; ask sales for specifics.
What is the Faros Control Plane for AI Engineering?
The Faros Control Plane for AI Engineering is a unified platform that enables organizations to optimize AI engineering workflows, reduce costs, and ensure compliance at scale. It integrates observability, optimization, and governance, providing a single source of truth for tracking spend, model/tool usage, and policy compliance. Note: Best fit for organizations seeking measurable outcomes from AI-assisted engineering; teams with highly specialized, non-standard workflows may require custom evaluation.
Features & Capabilities
What are the key features of Faros?
Faros offers a connected, extensible, and trusted data infrastructure for engineering operations. Key features include:
Integration with 70+ engineering data sources (e.g., source control, CI/CD, ticketing, incident management)
Custom connectors (Airbyte), real-time Events API, and GraphQL API (Hasura)
Customizable data transforms (dbt, Transformation API) and automation workflows (Activepieces, Slack integration)
Embedded analytics (Metabase) with customizable dashboards (e.g., DORA metrics)
Catalogs with drag-and-drop widgets for organizational resources
Note: Some advanced customizations may require engineering resources or consultation with Faros support.
How does Faros help organizations optimize engineering operations?
Faros connects operational data across 70+ sources, resolves identities across systems, and builds a complete, connected picture of the software development lifecycle. It enables organizations to analyze, automate, and catalog engineering data, uncover bottlenecks, and drive targeted improvements. For example, Faros's Time Machine feature has demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: Results may vary depending on data quality and organizational readiness.
What integrations does Faros support?
Faros integrates with over 70 engineering data sources, including builder desktops and agents, gateways, source control systems, ticketing systems, CI/CD pipelines, and incident management tools. Custom homegrown systems can be supported with custom Airbyte connectors and a real-time Events API. Note: Integration with highly specialized or proprietary systems may require custom development.
Does Faros have an API?
Yes, Faros provides a GraphQL API powered by Hasura, a real-time Events API, and supports custom connectors via Airbyte. The API includes features such as API key expiration for enhanced security. Note: API usage may require technical expertise for advanced queries or integrations.
Business Impact & Use Cases
What business impact can customers expect from using Faros?
Customers can expect measurable improvements in cost optimization, engineering efficiency, and ROI visibility. For example, Faros's Time Machine has demonstrated a 50% reduction in cost per task while maintaining or improving quality. Faros also enables faster shipping of production code, enhanced risk mitigation, and strategic decision-making through actionable insights. Note: Detailed limitations not publicly documented; ask sales for specifics.
What problems does Faros solve for engineering organizations?
Faros addresses exploding token bills, model route guesswork, uneven results, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. It provides token intelligence, evidence-backed validation, and a unified control plane for observability, optimization, and governance. Note: Some organizations with highly unique requirements may need additional customization.
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 data needs.
Can you share specific customer success stories with Faros?
Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to articulate their engineering vision and track north star metrics (case study). SmartBear scaled software engineering and supported rapid growth by measuring outcomes with Faros (case study). Note: Outcomes may vary by organization 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. Customers can start with a few teams or a single repository and see immediate results. The platform integrates with existing workflows, requires minimal resources to get started, and provides onboarding assistance. Note: Large-scale rollouts or complex integrations may require additional time and planning.
What feedback have customers given about Faros's ease of use?
Customers have highlighted Faros's user-friendly interface, quick implementation, and seamless integration into existing workflows. For example, Ben Cochran (Autodesk) noted Faros's actionable insights, Mustafa Furniturewala (Coursera) praised its clarity for executive buy-in, and Vineeta Puranik (SmartBear) emphasized its intuitive design for all organizational levels. See case studies for details. Note: User experience may vary based on organizational complexity and data maturity.
Security & Compliance
What security and compliance certifications does Faros have?
Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications cover data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: For industry-specific compliance requirements, consult Faros sales or security documentation.
How does Faros ensure data security and privacy?
Faros implements enterprise-grade security features, including granular access control, secure deployment options (SaaS, hybrid, on-premises), and custom security policies (MFA enforcement, password history, session timeout, IP restrictions). Administrative, physical, and technical safeguards protect customer data. Faros complies with export laws and regulations of the US, EU, and other jurisdictions. Note: For detailed technical documentation, see the Faros Trust Center.
Pricing & Build vs. Buy
What is Faros's pricing model?
Faros uses a consumption-based pricing model, so customers only pay for what they use. Pricing scales with organizational needs and connects 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: For a custom quote, contact Faros sales.
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. Note: Organizations with highly unique requirements may still need to evaluate build vs. buy trade-offs.
Faros AI - A Modern Data Stack for Engineering Operations
The Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, Activepieces, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization. Read On ...
Faros AI - A Modern Data Stack for Engineering Operations
The Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, Activepieces, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization. Read On ...
Engineering organizations everywhere are looking to leverage the vast amount of operational data that they produce every day in order to be more efficient, data-driven and more predictable, just like their Sales and Marketing counterparts.
Most engineering organizations today manage and maintain operational data in spreadsheets – a tedious and error-prone process. Some look to static metrics vendors or point solutions that provide insight into specific slices of the operational data. But this can be quite limiting. For example, DORA/Jira/Git metrics vendors often require teams to change how they work in order for the metrics to be meaningful — with no possibility of historical measurements, or of digging further down or laterally into adjacent data sources. Others, yet, have invested in centralized platform teams to ETL operational data to a central location — an undifferentiated and expensive proposition.
It seems that when it comes to leveraging operational data, thus far, one could only hope to get any two of three properties simultaneously: functionality, correctness, or cost-effectiveness. But not all three at the same time. This is why we built Faros AI.
A Complete Data Infrastructure for Engineering Operations Data
Faros AI is designed from the ground up to be a complete data infrastructure for engineering operations data, so organizations can leverage it for Analytics, Automation, and Information Catalogs.
Faros AI is connected, extensible, and trusted as it is built on top of a modern data stack.
1) Connected
Compared to point solutions, Faros has 70+ sources that map to an expansive engineering operations schema — from Teams to Tasks and Pull Requests to Deployments to Incidents and more. Custom homegrown systems can also be supported with custom Airbyte connectors and a real-time Events API.
Faros AI connects the dots both within and across systems - e.g. it resolves the various identities of a teammate across Jira/GitHub/PagerDuty, or connects Pull Requests to Jira tickets - regardless of order-of-ingestion. It automatically enriches the data when possible. For instance, it automatically infers changesets between consecutive application deployments, building a complete, connected picture of the entire software development lifecycle.
We play well with over 70+ integrations
2) Extensible
The Faros AI infrastructure provides a lot more than static metrics! It is customizable and extensible at every level:
Data: Users can connect up home-grown data sources via custom Airbyte connectors or the real-time Events API.
Business Logic/ Transforms: Custom flows, including data transformation using the Transformation API or dbt, can be defined for any process, e.g., a deploy process, incident resolution process etc., that tracks entities across systems to uncover bottlenecks.
Incident Management Flow
Visualization: With our embedding of Metabase, users have access to a full-blown Analytics solution on top of their data, pre-configured with a rich library of state-of-the-art engineering metrics dashboards - like DORA metrics, that can be fully customized to a team’s unique needs.
Velocity Metrics Dashboard
Catalogs: Customizable pages can be configured for every resource type (e.g. teams and services) with a rich set of drag-drop widgets to provide valuable catalogs for the organization!
Catalogs with Customizable Pages & Drag-drop Widgets
Integrations: A graphQL API powered by Hasura provides flexibility and ease of querying data both within and across data sources
Automations: With our Activepieces integration, teams can create automation workflows (e.g. remind teammates on slack about Pull Requests waiting for reviews)
Automation Workflow - Integration with Slack
Unlike black box metrics solutions, Faros AI is:
Transparent: Metrics and chart definitions can be inspected and updated, and the underlying data explored. This transparency combined with the extensibility mentioned above means that you can start instrumenting and automating with no change in process or behaviors in an incremental way while having access to historical measurements.
Contextual: Since Faros maps your data to your hierarchical organization, All metrics can be broken down and filtered on your organization chart. This allows you to quickly understand how systemic an issue is throughout your organization, and make much more targeted, relevant, and meaningful decisions.
Contextual Insights - By Organization, Team, and Individual
Secure: Faros comes with a comprehensive Role Based Access Control mechanism which scopes the data one can leverage for proper privacy, and has several deployment modes: multi-tenant or single-tenant SaaS, on-premise or hybrid where you run the connectors from your VPC.
A Modern Data Stack
As you can see, the Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, Activepieces, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization.
Faros AI Open Source Architecture - A Modern Data Stack
See Faros AI in Action
The power of Faros AI comes from its flexibility; it works for all types of data, all types of questions, all types of roles. Whether you are a senior engineering leader trying to better understand your entire engineering org, or a team member looking to play around with specific data to answer your own questions, Faros AI can help you move beyond guess-work and start making data-driven decisions for better outcomes.
Get Started for free - Check it out for yourself, with Faros Essentials on your laptop in under 10 minutes or request a demo of our SaaS solution and see Faros AI in action!
Vitaly Gordon
Vitaly Gordon is the Co-founder & CEO of Faros. Prior to Faros, Vitaly was VP of Engineering at Salesforce and the founder of Salesforce Einstein, the world's first comprehensive enterprise AI platform.
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