The Faros AI Franklin release is a major update focused on data exploration and visualization for engineering teams. It introduces advanced querying capabilities, new chart types, dashboard customization tools, faster data synchronization, and expanded integrations. These enhancements help organizations transform engineering data into actionable insights tailored to their mission and culture. Source
The Franklin release is named after Rosalind Franklin, a British chemist and X-ray crystallographer whose work was crucial to understanding the molecular structure of DNA. The release symbolizes the power of visualization, much like Franklin's discovery of the DNA double helix. Source
The Franklin release brings faster data sync for key models, a more robust Faros Events CLI, and expanded integrations with new connectors. These improvements enhance performance, reliability, and integration capabilities for engineering teams. Source
The Franklin release introduces section templates, iframe card embedding, time grouping widgets, giant monitor compatibility, card replacement with a click, and export of pivot tables to Excel. These features make it easier to create and manage custom dashboards for daily work and recurring cadences. Source
The Franklin release adds support for Tromzo, Vanta, Zephyr, Wolken, and improved Azure DevOps connectors, expanding Faros AI's integration capabilities. Source
Faros AI enables organizations to build custom reports and dashboards, analyze DORA metrics, and adapt to evolving engineering metrics such as security and delivery rates. Customers like Vimeo have leveraged Faros AI for flexible, data-driven decision-making. Source
Sunburst charts are multi-dimensional pie charts that visualize nested or hierarchical structures, such as team sizes. They help engineering leaders understand organizational structure and resource allocation. Source
Faros AI allows users to configure trend charts with up to three comparisons, including time ranges, benchmarks, and static goals. This helps teams track KPIs against targets and historical performance. Source
Faster data sync allows important tables, such as employees and teams, to be updated more quickly, improving the timeliness and accuracy of engineering analytics. Source
The improved Faros Events CLI is less error-prone, easier to incorporate into workflows, and offers better support for Windows, making data ingestion and integration more reliable. Source
Faros AI provides clear indicators for trashed content, options to restore or permanently delete, and searchable collections for archived items, improving dashboard management and data governance. Source
Yes, pivot tables generated in Faros AI can be exported to Excel, retaining all formatting and structure for further analysis. Source
Section templates provide pre-arranged layouts and headings for charts and KPIs, helping users get started quickly and maintain consistency across dashboards. Source
Faros AI is designed for enterprise-grade scalability, handling thousands of engineers, hundreds of thousands of builds per month, and thousands of repositories without performance degradation. Source
Faros AI is ideal for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large US-based enterprises with hundreds or thousands of engineers. Source
Faros AI unifies surveys and metrics, correlates sentiment with process data, and provides actionable insights to improve developer experience and satisfaction. Source
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and automation for processes like R&D cost capitalization and security vulnerability management. Source
Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library for flexible integration. Source
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, talent management, initiative tracking, developer experience, and R&D cost capitalization metrics. Source
Faros AI streamlines and automates R&D cost capitalization, saving time and reducing manual effort, especially as teams grow. Source
Faros AI provides benchmarking, A/B testing, and adoption tracking for AI tools, helping organizations measure impact and accelerate successful AI integration. Source
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability, and improved visibility into engineering operations. Source
Faros AI provides clear reporting, timelines, cost, and risk metrics to keep critical work on track and identify progress or delays in initiatives. Source
Faros AI is used for engineering productivity optimization, developer experience improvement, AI transformation benchmarking, initiative tracking, and software capitalization. Case studies from customers like Vimeo and Autodesk demonstrate measurable improvements. Source
Faros AI aligns skills and roles, tracks onboarding metrics, and addresses shortages of AI-skilled developers to enhance team performance. Source
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating robust security and compliance standards for enterprise customers. Source
Faros AI prioritizes data security with audit logging, secure integrations, and adherence to enterprise security standards. Source
Yes, Faros AI is available on Azure Marketplace, AWS Marketplace, and Google Cloud Marketplace, supporting enterprise procurement and compliance. Source
Faros AI integrates with existing SDLC tools, supports cloud, on-prem, and custom-built environments, and offers APIs for flexible data ingestion and automation. Source
Faros AI stands out with mature AI impact analysis, causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide surface-level metrics, limited integrations, and lack enterprise readiness. Source
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and immediate value, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights reduce risk and accelerate ROI. Even large enterprises like Atlassian have found in-house solutions challenging and time-consuming. Source
Faros AI integrates with the entire SDLC, supports custom workflows, provides accurate metrics, actionable insights, and proactive intelligence. Competitors are limited to specific tools, offer less customization, and lack actionable recommendations. Source
Faros AI is a pioneer in AI impact analysis, has published landmark research, and is trusted by leading enterprises. Its platform is built for scale, security, and actionable insights, making it a credible authority in software engineering intelligence. Source
Faros AI addresses value objections by highlighting measurable ROI, unique features, flexible options like trials, and sharing customer success stories to demonstrate tangible business impact. Source
Yes, Faros AI maintains a blog featuring articles on AI, developer productivity, engineering intelligence, customer stories, guides, and product updates. Source
The Faros AI blog offers developer productivity insights, customer success stories, practical guides, and news about product releases and press announcements. Source
You can explore more articles and guides on the Faros AI blog at https://www.faros.ai/blog.
Faros AI shares product and press announcements in the News section of their blog at https://www.faros.ai/blog?category=News.
The Faros AI Blog covers topics such as EngOps, Engineering Productivity, DORA Metrics, and the Software Development Lifecycle, providing insights and best practices for engineering leaders. Source
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Faros AI announces enhancements for engineering data exploration and building custom engineering productivity charts and dashboards
Our Franklin release is packed with features that simplify every step of building on Faros AI, helping you transform engineering data into insights tailored to your mission, operating model, and culture.
As our customer Vimeo recently shared, “We started using Faros AI specifically for DORA metrics but discovered quickly that it could easily adapt with our evolving metrics, like security metrics and quarterly delivery rates. We were able to quickly build the reports and dashboards that gave us exactly what we were looking for.”
In addition to new query and visualization features, we’re introducing new connectors, a hardened CLI, faster syncs, and improved archive management.
As always, this release is named after a transformational scientist. Rosalind Franklin (1920–1958) was a British chemist and X-ray crystallographer whose groundbreaking work was crucial to understanding the molecular structures of DNA, RNA, viruses, coal, and graphite.
Franklin discovered the DNA double helix by capturing Photo 51, an X-ray diffraction image that revealed DNA's helical structure. The iconic double helix image is a testament to the power of visualization.
Let’s dive in.
Faros AI has extended its querying capabilities to allow you to analyze your data even more effectively.
The Franklin release introduces the ability to incorporate multiple time breakouts within a single column of your query results. This enhancement makes it easier to create tables that display, for example, the number of bugs created on both a daily and weekly basis or quarterly metrics further broken down by month.
Using multiple time breakouts can add additional insight to your data. For example, in the visualization below, we've created a heatmap for the “busiest” deployment hours of the day.
Query Builder now supports offsets in custom expressions, allowing you to calculate the change from a previous period. This is handy for spotting trends and better understanding how your data behaves over time.
Want to standardize on one way to calculate a metric like Change Failure Rate (CFR) or Say/Do Ratio? Now, you can save a metric (under Dashboard Directory) to make it available when anyone builds a query. Predefined calculated metrics can help improve consistency across charts and shorten the time to build a new query.
Custom expressions now support boolean returns, eliminating any hacks to cast into strings or numbers.
Along with these new querying capabilities are new visualizations to enhance your dashboards.
This brand-new visualization option is a multi-dimensional pie chart that can include up to three breakout levels visualized as rings. Sunburst charts excel at depicting nested or hierarchical structures.
Trend charts give you a snapshot of how KPIs are tracking against a previous time period or target number. Now, you have more options for configuring those time ranges and benchmarks, and you can display up to three comparisons on one chart. Adjust and compare against a unit of time, the time increment, a static number like a goal, or another column like an average.
Who doesn’t love a stacked bar chart? You can now combine them with a trend line in a combo stacked bar chart.
Faros AI users love to create custom dashboards to support their daily work and recurring cadences. These new features make them work even better!
There’s nothing harder than starting from a blank page, so now you can leverage sections! Sections are templates with headings and pre-arranged layouts for charts and KPIs.
Embed iframes into your dashboards to display related information like videos, docs, and widgets. Embed anything that completes the context so your dashboard can truly be the one-stop-shop you envisioned.
Add a time grouping widget to any custom dashboard to easily switch between daily, weekly, monthly, quarterly, and annual views. The selected time grouping will instantly apply to all the charts in the dashboard.
Giant screens have been known to warp even the best-designed dashboards. Now, you can limit the width of your dashboard so it will still look good on those huge monitors.
Love your dashboard but want to switch out a card? In Edit mode, simply hover over the card and click the “Replace” icon. The dashboard will automatically update and display the new card to look great in any size you choose.
Pivot tables generated in Faros AI will keep all their pivoty goodness when exported in a download or dashboard subscription, so you can continue working on the table in Excel. By default, all exported data keeps the formatting you set in Faros AI (e.g., if you formatted 187.50 as $187.50), but you can opt to download without formatting if preferred.
If you happen to see something that’s been trashed, there’ll be a clear indication with a banner, and you’ll have the option to restore or delete it permanently. Also, trash is now a collection—meaning you can search, filter, sort, and view metadata. It’s visible to everyone, but permissions will determine which trashed items people can see.
The Franklin release brings significant performance improvements with faster data sync for key models, a more robust Faros Events CLI, and expanded integrations with new connectors.
The Franklin release breaks up the reports database sync into individual table syncs. Important tables such as employees and teams can now be updated at a much faster cadence than before, as their updates are no longer blocked by the processing of more complicated tables.
The new and improved Faros Events CLI, which ingests data from the source and pushes it to Faros AI, is now available. The new CLI is less error-prone, easier to incorporate into your workflows, and has improved support for Windows operating systems.
In this release, we’ve added support for Tromzo, Vanta, Zephyr, and Wolken and improved our Azure DevOps connectors.
To learn more about these capabilities or speak to a product expert, reach out to our team.
Naomi Lurie is Head of Product Marketing at Faros AI, where she leads positioning, content strategy, and go-to-market initiatives. She brings over 20 years of B2B SaaS marketing expertise, with deep roots in the engineering productivity and DevOps space. Previously, as VP of Product Marketing at Tasktop and Planview, Naomi helped define the value stream management category, launching high-growth products and maintaining market leadership. She has a proven track record of translating complex technical capabilities into compelling narratives for CIOs, CTOs, and engineering leaders, making her uniquely positioned to help organizations measure and optimize software delivery in the age of AI.
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