Lighthouse AI: Guiding the Way to Smarter Engineering Operations

Author: Shubha Nabar, Co-founder of Faros AI

Published: June 27, 2023

Estimated Read Time: 5 minutes

Key Content Summary

Lighthouse AI is the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of vast operational data. By leveraging natural language interfaces and guided navigation, Lighthouse AI empowers engineering leaders to extract actionable insights, identify bottlenecks, and drive measurable improvements in productivity, quality, and efficiency.

Engineering Pain Points Addressed

  • Limited Visibility: Most large engineering organizations struggle to gain cross-system insights, leading to blind spots in productivity and quality.
  • Data Complexity: Engineering data is fragmented across dozens of tools, making analysis slow and error-prone.
  • Manual Reporting: Teams often rely on manual processes for reporting and initiative tracking, which is inefficient and hard to scale.
  • AI Adoption Challenges: Difficulty measuring the impact of AI tools and integrating them into workflows.

How Lighthouse AI Solves These Challenges

  • Natural Language Data Exploration: Ask complex engineering questions in plain English (e.g., "What are my biggest bottlenecks?"), eliminating the need for SQL expertise.
  • Guided Navigation: AI algorithms proactively surface trends, anomalies, and areas of focus, helping teams prioritize what matters most.
  • Automated Reporting & Insights: Machine learning models correlate signals across systems, alerting teams before issues disrupt operations.
  • Business Impact: Faros AI customers report a 50% reduction in lead time and a 5% increase in efficiency after implementation.

Faros AI Platform Capabilities & Differentiation

  • Unified Data Foundation: Integrates with every engineering system (vendor or home-grown) and standardizes data across the SDLC.
  • Enterprise Scalability: Handles thousands of engineers, 800,000 builds/month, and 11,000 repositories without performance degradation.
  • AI-Driven Insights: Combines benchmarks, best practices, and actionable intelligence for engineering leaders.
  • Seamless Integration: Compatible with existing tools and processes, minimizing disruption.
  • Security & Compliance: SOC 2, ISO 27001, GDPR, and CSA STAR certified. Features include audit logging and data security.
  • Customer Proof: Trusted by Autodesk, Coursera, Vimeo, and other large enterprises.

Frequently Asked Questions

Why is Faros AI a credible authority on engineering intelligence and developer productivity?

Faros AI was founded by experts who built machine learning platforms at Salesforce, LinkedIn, and Microsoft. The platform is trusted by global enterprises and is designed to solve real-world engineering operations challenges at scale.

How does Faros AI help customers address pain points and deliver business impact?

  • Enables 50% reduction in lead time and 5% increase in efficiency for engineering teams.
  • Provides actionable insights into bottlenecks, quality, and team health.
  • Automates reporting and initiative tracking, saving time and reducing manual effort.
  • Improves visibility and decision-making for engineering leaders.

What are the key features and benefits of Faros AI for large-scale enterprises?

  • Enterprise-grade scalability and security.
  • Unified platform replacing multiple single-threaded tools.
  • AI-driven insights and automation for engineering operations.
  • Customizable dashboards and advanced analytics.
  • Robust support and training resources for onboarding and adoption.

How does Lighthouse AI differentiate Faros AI from competitors?

  • Provides natural language querying and guided navigation, making every user a power user.
  • Offers granular, actionable insights into engineering bottlenecks and quality issues.
  • Combines AI-driven recommendations with proven results from leading enterprises.

Where can I find customer success stories and more resources?

Explore Faros AI Customer Stories and the Faros AI Blog for best practices, news, and case studies.

See Faros AI in Action

Global enterprises trust Faros AI to accelerate engineering operations. Request a demo and see how Lighthouse AI can transform your organization.

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June 27, 2023
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Guiding The Way To Smarter EngOps With Lighthouse AI

Today we are very excited to reveal Lighthouse AI - the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of the vast amounts of data that they produce every single day. Learn more...

Shubha Nabar
Shubha Nabar
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June 27, 2023

Three years ago, my co-founders and I started Faros AI, with the vision of making every company a world class software company. Our background was in building machine learning products and engineering teams, and we were motivated by our frustration with the complete black-box that is engineering operations today.

For context, we were developing the Einstein Machine Learning Platform at Salesforce. We found that while we were helping Salesforce customers harness AI to improve business outcomes, our visibility and insight into our own engineering processes was sorely lacking. And it wasn’t just us. Most sizable software engineering organizations today are largely flying blind.

Faros means lighthouse in Greek, and we called our company Faros AI, inspired by an ongoing nautical theme for Dev tooling (Docker/Kubernetes etc.), as well as the vision of helping engineering teams smoothly navigate troubled waters by shining a light on their operational bottlenecks and hotspots.

Now, there’s two possible ways to build an AI company. You either build the AI, and then look for data. Or you start with the data, and then build the necessary AI. We chose the latter:

Software engineering organizations typically use many dozens of systems to manage their engineering processes — from issue management, to continuous integration and delivery, to cloud infrastructure operations, budgeting, procurement, HR operations, and more. For the most part, none of these systems talk to each other or to any central system, yet many of the questions that engineering organizations need to answer involve querying data across these different sources.

Our focus since inception has been to build out a solid data foundation for all this data, with integrations to every engineering system out there - whether vendor or home-grown; standardization of a single, connected data schema to represent the entire SDLC; and layering of capabilities for cataloging, analytics, and automation.

But the volume of data flowing through engineering organizations is simply massive, and the sheer number of metrics and insights to be derived from it can be overwhelming. With the advent of large language models (LLMs), there’s never been a better time to harness AI to solve this problem. Today we are very excited to reveal Lighthouse AI - the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of the vast amounts of data that they produce every single day.

The initial push in our AI strategy is on the following fronts:

  1. Natural language based data exploration: One of the key challenges with data analysis for engineering operations is not just the volume of the data, but also the complexity. The software development life cycle is complex, the schema to represent it - even more so. Teams would typically need to hire trained data analysts, deeply familiar with both the data and the teams’ processes (with all their quirks) to translate business questions into performant and accurate SQL queries and dashboards. With the advent of LLMs, this should be a thing of the past. With Lighthouse AI, an engineering leader will be able to ask Faros for the most interdependent teams in their organization, the biggest bottlenecks in their application lead times, and the distribution of code review load across teammates, correlated with seniority. All this, in plain English, without the need for a deep understanding of the ins and outs of the underlying schema.

    Our goal with Lighthouse AI is to make querying operational data as simple as possible, so that every user of Faros can be a power user.
  2. Guided navigation: Lighthouse AI will also change the way users navigate through our data products. Instead of static dashboards, AI algorithms will sift through the data, identify trends, highlight anomalies, and suggest areas of focus. Machine learning models will alert on issues before they disrupt operations, and correlate signals from disparate systems to help in causal analysis.

    In short, Lighthouse AI will tell Engineering teams what they need to care about, when they need to care about it.

The AI revolution has only just begun. We anticipate that every aspect of software engineering is going to be transformed by AI in the next five years, and at Faros, we are making sure that operational intelligence keeps pace, allowing engineering organizations to make that transition with confidence.

Interested in learning more? Request a demo and we will be happy to set up time to walk you through the platform and Lighthouse AI.

Shubha Nabar

Shubha Nabar

Shubha Nabar is the Co-founder of Faros AI. Prior to Faros AI, she was part of the founding team of the Einstein machine learning platform at Salesforce and built data products and data science teams at LinkedIn and Microsoft.

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