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. The Asimov release expands on this by providing new modules and AI-powered features that help organizations maximize the productivity and ROI of both human and AI-powered engineering teams.
What does Faros do?
Faros is the complete Token Engineering platform. It builds a live model of your engineering 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, ensuring measurable outcomes and improved efficiency. Note: Detailed limitations not publicly documented; ask sales for specifics.
What new capabilities are included in the Faros Asimov release?
The Asimov release introduces several new modules and features:
AI Transformation module: Quantifies the impact of new tools like GitHub Copilot, combining quantitative systems data with qualitative developer sentiment for cost/benefit analysis.
Initiative Tracking module: Provides visibility into engineering resources, progress to goals, and helps identify risks and resource utilization.
Developer Experience module: Centralizes and correlates developer sentiment survey data with engineering metrics, enabling organizations to measure and improve team health and satisfaction.
Cross-org Heatmaps and Team Health Panels: Deliver fast, actionable insights into organizational performance and hotspots.
Scorecards: Configurable organizational heatmaps for tracking key metrics across teams.
TeamCentral: A customizable team catalog centralizing operational and performance data.
Lighthouse AI: AI-powered helper for building custom metrics, natural language chart explainers, and workflow automations to reduce repetitive work.
Webhooks for data ingestion, improved UX/navigation, and enhanced role-based access controls.
Note: Some advanced features may require configuration or integration with existing systems.
Features & Capabilities
What features does Faros offer for engineering organizations?
Faros offers a comprehensive set of features for engineering organizations, including:
Token Engineering: Observability, optimization, and governance of AI coding spend.
EngOps Modules: Prebuilt analytics libraries for Engineering Productivity, DevOps Management (DORA), Software Quality, AI Transformation, Initiative Tracking, and Developer Experience.
Scorecards and Heatmaps: Configurable organizational heatmaps to track key metrics and identify performance hotspots.
TeamCentral: Centralized team catalog with customizable widgets for speed, quality, predictability, and sentiment metrics.
Lighthouse AI: AI-powered assistant for building custom metrics, natural language chart explanations, and workflow automation.
Automations: Multi-step workflows for reminders, alerts, and notifications (e.g., Slack, PagerDuty, email, spreadsheets).
Webhooks: For data ingestion from sources with security or performance constraints.
Integration with 60+ engineering data sources, including source control, CI/CD, ticketing, and incident management tools.
Note: Some features may require additional setup or integration depending on your environment.
Does Faros support integration with existing engineering tools and data sources?
Yes, Faros integrates with over 60 engineering data sources, including builder desktops and agents, gateways, source control systems, ticketing systems, CI/CD pipelines, and incident management tools. This enables seamless connectivity with your existing workflows and provides organization-wide context for AI engineering optimization. Note: Integration depth may vary by tool; check the Faros Security & Trust Center for details.
Does Faros have an API?
Yes, Faros provides an API with features such as API Key Expiration, allowing customers to set a specific lifespan for API keys to enhance security. For more details, visit the Faros Security & Trust Center. Note: API capabilities may be subject to change; consult documentation for the latest information.
Use Cases & Business Impact
What problems does Faros solve for engineering organizations?
Faros addresses several critical challenges, including:
Exploding token bills from AI agents defaulting to costly models
Model route guesswork and inefficiencies
Uneven results and lack of visibility into AI ROI
Risk exposure from ungoverned AI usage
Coordination challenges across departments
Resource constraints for building custom tracking systems
Faros provides token intelligence, evidence-backed validation (Time Machine), and a unified control plane to optimize spend, improve outcomes, and ensure compliance. Note: Best fit for organizations seeking measurable ROI from AI engineering; teams with highly unique or legacy systems may require custom integration.
What business impact can customers expect from using Faros?
Customers can expect measurable business impact, including:
Up to 50% reduction in cost per task (as demonstrated by Faros's Time Machine on 211 real tasks)
Improved engineering efficiency and velocity
Enhanced ROI visibility by tracing every AI dollar to shipped results
Risk mitigation through automated policy enforcement and audit trails
Strategic decision-making with benchmarking and diagnostics features
Note: Actual results may vary based on organization size, data quality, and implementation scope.
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. Read the case study.
Coursera leveraged Faros to articulate their engineering vision and track north star metrics. Read the case study.
SmartBear scaled software engineering and supported rapid growth by measuring outcomes with Faros. Read the case study.
These examples highlight Faros's ability to deliver measurable improvements in productivity, cost savings, and compliance. Note: Results are customer-specific; contact Faros for more examples.
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 to see immediate results. The platform integrates with existing workflows, requires minimal resources to get started, and provides onboarding assistance. Data remains secure and does not leave your boundary during setup. Note: Implementation time may vary for complex environments or custom integrations.
What feedback have customers given about the ease of use of Faros?
Customers have reported positive experiences regarding Faros's ease of use. For example, Ben Cochran (VP of Developer Enablement at Autodesk) noted that Faros enables actionable insights for productivity improvements. Mustafa Furniturewala (SVP of Engineering at Coursera) highlighted Faros's role in communicating engineering value and tracking metrics. Vineeta Puranik (CTO of SmartBear) emphasized the intuitive design and accessibility for all organizational levels. See Autodesk case study, Coursera, SmartBear. Note: User experience may vary by organization and use case.
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, privacy, and cloud security best practices. For more details, visit the Faros Trust Center. Note: Certification scope and coverage may evolve; check the Trust Center for the latest status.
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), and compliance with organizational policies for authentication, access, and data handling. Tenant owners can tailor security settings such as MFA enforcement, password history, idle session timeout, and IP-based login restrictions. Faros also complies with export laws and regulations of the US, EU, and other jurisdictions. For more, see the Faros Trust Center. Note: Some advanced security features may require configuration by your organization.
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 growth and changing AI engineering needs. Faros connects spend directly to shipped outcomes, allowing customers to see measurable ROI. For more details, contact Faros or visit Faros.ai. Note: Exact pricing details are not publicly documented; request a quote for specifics.
Build vs Buy
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 specialized needs may still require some custom development.
Product Information & Documentation
Where can I find technical documentation and security details for Faros?
Technical documentation, trust, and security details for Faros are available at the Faros Trust Center. This resource covers security practices, certifications, compliance measures, and more. Note: Some documentation may require authorized access.
We’ve got some exciting news to share. Today we’re announcing ‘Asimov’, a major product release that includes a ton of new features designed to maximize the potential of engineering teams and help organizations soar at a time when budgets might be feeling the pinch and AI coding assistants are joining the party.
A Word on the Name "Asimov"
First off, why the name "Asimov"? While we're fans of the legendary sci-fi author, this isn't just a nod to his genius. Much like how Asimov envisioned the future, this release aims to shape the way we approach software engineering intelligence at the moment AI has us reimagining the entire discipline.
This release has four main themes:
Maximizing return on engineering budgets
Reducing risk to business outcomes with heatmaps and health panels
Accelerating the transition to data-driven engineering with Lighthouse AI
Extra goodies that will delight existing and future users
So let’s dive in!
ROI-Centric EngOps Modules
In today's fast-paced tech landscape, understanding the return on your investments is paramount. We’re delivering on that need with three new EngOps modules.
Modules are prebuilt analytics libraries — inclusive of all the data sources, metrics, dashboards, widgets, and customizations you need — that run on top of the Faros platform.
Our EngOps modules are infused with productivity expertise, benchmarks, and best practices to provide rapid time-to-value when you connect up your sources. You can build upon the module’s foundation to get limitless insight into your organization by creating your own custom metrics, views, and reports.
Joining our popular modules for Engineering Productivity, DevOps Management (DORA), and Software Quality, the Asimov release includes:
AI Transformation module
Initiatives Tracking module
Developer Experience module
AI Transformation: Quantify the impact of new tools like GitHub Copilot
Are you considering investing in new AI technology to increase productivity and improve the developer experience? Are you wondering whether you should adopt new coding assistants like GitHub Copilot and whether your company can tunnel the productivity gains toward better outcomes?
The AI Transformation module is designed to get those questions answered with data.
With Faros, you can ground your AI pilots and evaluations with data that validates the business case, and then find the best ways to put the productivity boost to good use (which may be different from team to team). This module combines quantitative systems data with qualitative developer sentiment to build your cost/benefit analysis.
You’ll get before-and-after metrics and estimates of cost and time savings as well as a sense of the downstream business outcomes you can look forward to.
You can read about Faros's own A/B test of GitHub Copilot in this blog and watch the video below for a tour of the module.
Initiative Tracking: Get visibility into engineering resources
Top of mind for every engineering leader and technical program manager are questions like:
What are people currently working on?
How are strategic cross-org initiatives progressing?
What’s going well?
Where are the issues?
The Initiative Tracking module answers those questions and then some. It’s where you come to make sure engineering is appropriately staffed and working on the right things and your most high-priority projects. You can keep critical work on track and understand what is running behind, and you can utilize this visibility to make better decisions with your partners in Product and Finance.
Visibility into all your initiatives, sliced and diced the way you want to look at it, will help you make faster and sounder decisions based on progress to goal, estimated remaining time, completed and outstanding work, and who’s working on what. Below is a taste of the module's dashboards.
The Initiative Summary view helps quickly identify risks based on timelines and costs
Predict delivery delays and understand resource utilization with Initiative Tracking
Developer Experience: Understand how sentiment correlates to systems data
Want to act faster on developer feedback? Curious to see how their sentiments correlate to system data? Need to measure whether the action plans you’ve put in place together with HR are having the desired benefit on both people and systems?
The new Developer Experience module helps organizations leverage employee surveys to their full potential. It blends the qualitative insights from Agile, team health, and developer experience and satisfaction surveys with quantitative metrics and outcomes. It centralizes survey data and tracks it over time, juxtaposed with the engineering telemetry that correlates with each sentiment.
Because every organization is unique, this module is highly configurable. You define the survey themes and categories, and you select the corresponding EngOps metrics to overlay on them. To get you up and running quickly, you can also leverage our pre-packaged survey templates, categories, and metrics based on industry benchmarks and best practices.
Cross-org Heatmaps and Team Health Panels Deliver the Right Level of Insight, Fast
Picture this: You're sipping your morning coffee and open your laptop. With just a quick glance at your screen, you're able to take the pulse across the scope of your responsibilities and reduce the risk of missing something important.
That’s exactly what we’ve built in Faros. Whether you’re the SVP of Engineering or a Team Lead, you now have a single view that intuitively tells you where to focus your attention.
Let’s talk about Scorecards first.
Scorecards
Scorecards are organizational heatmaps that track the most important metrics across engineering, typically as determined by senior leadership. Often, that’ll be a mix of Agile and DORA Metrics, productivity metrics, and satisfaction metrics. It’s a little different for everyone, that’s why it’s completely configurable. It’s a place for your organization to set the standardized metrics you want everyone aligned on.
Once the scorecard is configured, Faros provides a powerful birds-eye view of the entire engineering organization that highlights performance hotspots. Jump to a specific group or team’s performance for more details, context, and insight, and then dive into underlying dashboards to proactively address the issue.
Scorecards in Faros help leaders identify hotspots at a glance and drill in for details and context
TeamCentral
We’ve all heard of service catalogs, but how about a team catalog? One place you can go to get all the information you need about a specific team. That’s the dream.
TeamCentral does just that. It’s got everything a manager or team member will want to see in one place, which helps reduce the time it takes to identify problems, spot conflicting priorities, and keep things running smoothly.
TeamCentral can be personalized with widgets for speed, quality, predictability, and sentiment metrics. It also features essential operational data like who’s on call, app and service ownership, and what the team is actively working on.
TeamCentral centralizes everything you need to know about the team and is completely customizable
AI-boosted Data Analysis and Workflow Automation
The high-quality data in Faros provides the foundation for the next generation of AI-powered engineering metrics. With the announcement of Lighthouse AI in July, there are some great new features to supercharge your insight into your organization’s health and impact.
An AI helper to build custom metrics
One of the most beloved capabilities of Faros is the ability to build your own charts. With all due respect to out-of-the-box metrics and dashboards, every company has its own unique reporting needs and ad-hoc business needs that need fast answers.
Lighthouse AI will get you those insights faster. Now you can use a GenAI prompt to ask Faros a business question, and Faros will suggest charts and tables that hold the answer, provide key information about the data, and supply tips and tricks on how to build your query.
Lighthouse AI uses GenAI to supercharge data analysts building custom metrics to answer business questions
Natural language explainers for any chart
Not sure what a chart is trying to tell you? Lighthouse AI now explains every chart in natural language, whether it’s been custom-built or came out of the box. Simply mouse over the Lighthouse AI icon for a clear explanation that helps laypersons understand the metrics better and act on them more confidently.
GenAI chart explanations by Lighthouse AI help understand the metrics better and act on them more confidently
Automations to remove toil and repetitive work
We all want AI to take care of repetitive tasks, communication overhead, and burdensome work so that humans can operate at a higher level. To that end, we’re launching Faros Automations in this release.
You can easily create multi-step workflows that offload reminders, alerts, and notifications to Faros.
Here are some cool automations you might want to try:
Send a Slack or PagerDuty notification when a metric breaches an accepted threshold
Email a bi-weekly summary of recently released features to your stakeholders
Update a spreadsheet when a vulnerability is detected
Send a weekly image of a dashboard to stakeholders
You can read an example of how the Faros engineering team utilizes automations to send a weekly internal update on what's been released in our blog.
Example of a Faros automation that sends a Slack alert and creates a Jira issue when CFR exceeds threshold
Other Goodies: Webhooks, UX improvements, survey data, and more
There are a few more goodies in Asimov I want to share.
Faros now supports Webhooks for data ingestion — where a webhook built into the data source can push data to the Faros platform. This is a great option for organizations with specific security restrictions or performance limitations that preclude them from using pull-based connectors. Read our article on webhooks vs. connectors to learn which option is best for you.
Navigation in Faros is now more intuitive and streamlined. The left-hand menu has shortcuts to a user’s most popular view, including home pages, favorites, dashboards, and TeamCentral. Users can now easily navigate to Modules and the Scorecard using new menu buttons on the top of the screen. And admins can easily toggle the menu to view admin-exclusive Setup Pages.
You asked for it, you got it! Admins can now customize what each role in Faros can view and do. For example, you can configure whether Analysts can view the Scorecard and Executives can view TeamCentral.
We’ve made it easier to track the adoption of Faros within your organization as you expand your journey into data-driven engineering. Faros usage data is now part of our reporting database, so you can report on who’s been logging in and which dashboards get the most views.
Finally, Faros’s connected schema now supports survey data, which makes it possible to utilize insights from health, retro, and satisfaction surveys within the context of everything else you’re measuring. Leverage predefined survey types like NPS, eNPS, quality, satisfaction, speed & agility, alignment & goals — or create your own.
That’s All, Folks (For Now)
We hope you’re as excited as we are about these new capabilities and the opportunities they create to become much stronger, data-driven engineering organizations.
Want to learn more or see Faros in action? We’d love to talk — so, please reach out!
Sara Asher
Sara is the Head of Product at Faros. Prior to Faros, she held leadership positions at Salesforce and at Alpine Data where she built applications around data analysis and predictive modeling.
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