We’ve built the most powerful engineering leadership copilot, and today we are incredibly excited to share it with the world.

Engineering leadership is becoming more complex, yet the tools to measure it have remained stagnant. Lines of code reward verbosity. Commit counts incentivize small, meaningless changes. Story points are notoriously inconsistent.

We founded Bilanc to change this. We are building the most robust and thorough engineering data platform on the market, now trusted by incredible engineering leaders at high-growth Series B startups and established tech companies alike.

Every day, our platform analyzes millions of lines of code, generates hundreds of reports, and helps engineering teams understand how every single code change impacts their productivity.

Why We Built Bilanc

For too long, engineering leaders have had to rely on broken proxies for productivity. Most leaders spend valuable time wrestling with Jira queries, tediously updating Google Sheets, or chasing down status updates just to get a blurry picture of what is actually happening.

We took a different approach. Instead of trying to fix broken metrics, we built an AI-native system that estimates the actual effort and complexity behind every merged Pull Request.

We don't just count lines; our system reads the actual diff, retrieves codebase context, and assigns a "Bilanc Output Estimate"—a calibrated score between 0-100 that reflects the cognitive effort required to produce that work.

What Bilanc Does

Bilanc isn't just a dashboard; it’s an active member of your engineering management team. Here is how we help teams move faster:

1. Instant Answers via AI

Stop writing SQL or fighting with issue tracker filters to find out what’s going on. With Bilanc, you can query raw data from your dev tools using natural language.

• “Which engineers had the highest rework rate last month?”

• “Show me the trend of architectural changes vs. bug fixes over the last quarter.” Our AI assistant instantly answers any question you have, turning raw data into custom insights immediately.

2. Justifying AI Costs & Measuring Adoption

Every company is buying AI tools (like GitHub Copilot or Cursor), but few can quantify the ROI. Bilanc tracks AI adoption across your organization and calculates the actual impact on code quality and velocity.

• Adoption Tracking: See exactly who is using AI features and how often.

• Impact Analysis: Compare productivity scores and cycle times between AI-native workflows and traditional workflows to justify your tool spend.

3. Automated Reporting & Deep Context

We automate the busy work. Bilanc provides executive summaries, engineer spotlights, and codebase recommendations. Our multi-agent analysis categorizes work (Feature vs. Fix vs. Tech Debt) and identifies risks (security, performance) automatically. This gives you the "reality on the ground" without needing to micromanage every PR.

Trusted by High-Performing Teams

We are already working with dozens of engineering teams—including major security vendors and high-volume fintech platforms—to help them measure what matters.

Whether you are trying to understand why velocity has slowed down, looking to spot burnout before it happens, or needing to prove the value of your new AI tooling, Bilanc provides the data to back up your intuition.

Let’s Talk

We’d love to speak with anyone who finds the problem of engineering productivity interesting. It’s all we think about!

If you are ready to stop guessing and start measuring with precision. Sign up now!

Bilanc to the world! 🚀