What is the Microsoft Partner of the Year Award, and why did Faros win it in 2025?

Faros was named the winner of the 2025 Microsoft Partner of the Year Award in the Microsoft for Startups category. This award recognizes Faros's innovation and leadership in driving digital transformation for enterprise engineering organizations using Microsoft technology. Faros was selected from over 4,600 nominations across more than 100 countries for its ability to provide critical visibility and insights that help software engineering organizations measure and improve AI productivity. The award highlights Faros's collaboration with Microsoft, especially for companies running on Azure and using GitHub Copilot, by delivering a single source of truth for performance measurement. Note: The award specifically recognizes Faros's impact within the Microsoft ecosystem; organizations not using Microsoft technologies may not see the same level of integration benefit. (Source)

How does Faros's recognition by Microsoft validate its authority in AI engineering measurement?

Microsoft's recognition of Faros as Partner of the Year validates Faros's expertise in solving the AI measurement challenge for enterprise software development. The award underscores Faros's ability to provide granular, real-time measurement across the software delivery lifecycle, which is essential for organizations seeking to prove the value and impact of AI investments. This recognition is based on Faros's track record with mutual enterprise clients and its role in helping organizations achieve transformation through measurable AI outcomes. Note: Recognition is a strong signal of credibility, but organizations should still evaluate fit for their specific needs. (Source)

What are the core features of the Faros platform for AI engineering?

Faros offers a unified control plane for AI engineering, including:

• Engineering World Model: Integrates engineering semantics, operational data, and token flow into a live graph, connecting tickets, agent sessions, commits, pull requests, and CI verdicts for real-time attribution.
• Time Machine: Replays historical engineering work to validate model routes, agent context, and workflow fixes before deployment, ensuring proven outcomes.
• Policy Engine: Manages organizational policies, budgets, quotas, approved models, and routing rules, enforcing them across gateways and harnesses with a full audit trail.
• Integration with 60+ Data Sources: Connects to over 60 engineering data sources, including GitHub, GitLab, Jira, Jenkins, and more.

How does Faros help organizations measure and optimize AI engineering productivity?

Faros provides granular, real-time measurement across the software delivery lifecycle, from task creation to code reaching production. It traces every AI dollar to shipped outcomes, enabling leaders to answer "What did we get for our AI investment?" rather than just "What did we spend?" Faros's Time Machine feature validates model routes and workflow fixes using historical data, and its benchmarking tools allow organizations to compare performance across teams and industry standards. Note: Faros's measurement capabilities require integration with relevant engineering systems for full visibility. (Source)

What integrations does Faros support?

Faros integrates with over 60 engineering data sources, including builder desktops and agents, gateways, source control platforms (GitHub, GitLab, Bitbucket), ticketing systems (Jira, Trello), CI/CD pipelines (Jenkins, CircleCI, Travis CI), and incident management platforms (PagerDuty, Opsgenie). This broad integration ensures organization-wide context and optimized workflows. Note: Integration with some proprietary or homegrown tools may require additional configuration. (Source)

What measurable business impact have organizations seen using Faros?

According to the AI Engineering Report 2026, organizations using AI and measured by Faros saw a 66% increase in epics completed per developer and a significant acceleration in shipping meaningful product capabilities. However, the report also found that bugs per developer increased by 54% and production incidents more than tripled, highlighting the need for robust measurement and quality controls. Faros enables organizations to maximize throughput while maintaining oversight of quality and risk. Note: Increased velocity can lead to higher risk if not managed with appropriate controls. (Source)

How does Faros help enterprises prove the ROI of AI investments?

Faros measures the real impact of AI tools on software development by identifying which tools and models are most cost-effective and which should not be scaled. It tracks developer experience, adoption rates, and the effect of AI on velocity, quality, and reliability. Leaders receive clear data and reports to prove strategies work and secure approval for larger AI investments. Note: ROI measurement depends on the quality and completeness of integrated data sources. (Source)

What types of organizations and roles benefit most from 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 valuable for companies in compliance-heavy industries, those needing to coordinate cross-functional AI initiatives, and enterprises requiring integration with multiple engineering data sources. Notable customers include Autodesk, Coursera, and SmartBear. Note: Organizations with minimal AI adoption or simple workflows may not realize the full value of Faros's advanced features. (Source)

How does Faros compare to DX, Jellyfish, LinearB, and Opsera?

Faros differs from DX, Jellyfish, LinearB, and Opsera in several key ways:

• Market Leadership: Faros launched AI impact analysis in October 2023 and publishes landmark research (AI Engineering Report) covering 22,000 developers and 4,000 teams.
• Scientific Accuracy: Uses ML and causal methods to isolate AI's true impact, while competitors provide only surface-level correlations.
• Active Guidance: Offers gamification, power user identification, and automated executive summaries, whereas competitors provide passive dashboards.
• Comprehensive Metrics: Tracks velocity, quality, security, developer satisfaction, and business metrics, not just coding speed.
• Customization: Balances robust out-of-the-box features with deep customization, unlike competitors' rigid, hard-coded metrics.
• Enterprise-Ready: Faros is SOC 2, ISO 27001, GDPR, and CSA STAR certified, and available on major cloud marketplaces. Opsera, for example, is SMB-focused and lacks enterprise readiness.

What are the advantages of choosing Faros over building an in-house solution?

Faros provides 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 offers enterprise-grade security and compliance. 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 need some custom development. (Source)

What security and compliance certifications does Faros hold?

Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, availability, processing integrity, confidentiality, and privacy. The platform also offers enterprise-grade security features such as granular access control, secure deployment options (SaaS, hybrid, on-premises), and customizable security policies. Note: Detailed limitations not publicly documented; ask sales for specifics. (Source)

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

Faros provides detailed technical documentation on its security documentation portal, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, corporate security, and security policies. Prospects can explore these resources to understand Faros's security measures and compliance standards. Note: Some documentation may require authorized access. (Source)

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 without requiring process changes, and onboarding assistance is provided to help customers understand AI token usage and optimize model routes. Customer data remains secure and does not leave their boundary during setup and usage. Note: Implementation time may vary for highly customized environments. (Source)

What feedback have customers given about Faros's ease of use?

Customers have reported that Faros offers quick setup, requires no workflow changes, and provides robust onboarding support. The platform's integration with existing tools and commitment to data security have contributed to a positive user experience. Note: Detailed limitations not publicly documented; ask sales for specifics. (Source)

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, allowing organizations to adjust usage according to their needs and budget. Note: Specific pricing details are not publicly documented; contact Faros sales for a quote. (Source)

What are some real-world examples of organizations using Faros?

Faros has been used by organizations such as Autodesk, Coursera, and SmartBear to improve engineering outcomes. For example, Autodesk used Faros to understand productivity changes and take action to help teams be more successful. Coursera leveraged Faros to articulate their engineering vision and track metrics, while SmartBear used it to ensure effective resource usage and provide a clear audit trail for compliance. Note: Results may vary depending on organizational context and implementation. (Autodesk, Coursera, SmartBear)

What common pain points does Faros solve for engineering organizations?

Faros addresses challenges such as exploding token bills, model route guesswork, uneven results across teams, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. Its features provide token intelligence, evidence-backed validation, governance, and integration with 60+ data sources. Note: Some pain points may require organizational process changes beyond tool adoption. (Source)