Product Introduction

1. Bilanc is an AI-powered Engineering Management Platform designed to measure and enhance developer productivity through advanced analytics and Large Language Models (LLMs). It analyzes merged pull requests, estimates coding effort, and quantifies the productivity impact of AI tools like GitHub Copilot or Cursor Business.
2. The core value of Bilanc lies in transforming raw engineering data into actionable insights, enabling companies to optimize resource allocation, benchmark performance against industry standards, and objectively measure the ROI of AI adoption in software development workflows.

Main Features

1. Bilanc integrates with AI coding tools like GitHub Copilot and Cursor Business to calculate team-specific adoption rates, productivity boost percentages, and model effectiveness for different engineering tasks.
2. The platform provides pre-built reports with DORA metrics (Deployment Frequency, Lead Time, etc.) and proprietary AI-driven metrics, such as effort estimation per line of code, all benchmarked against anonymized industry peer data.
3. Automatic AI categorization of pull requests and tasks analyzes code changes, commit messages, and linked project management tickets to generate real-time breakdowns of engineering time allocation across features, bugs, and technical debt.

Problems Solved

1. Bilanc addresses the inability to quantify how AI tools impact engineering output, replacing subjective assessments with metrics like AI-generated code contribution percentages and task-specific productivity gains.
2. The platform primarily serves engineering managers, CTOs, and DevOps leaders who need to demonstrate productivity improvements, justify AI tool investments, and align engineering output with business objectives.
3. Typical use cases include auditing AI tool ROI during budget cycles, identifying underperforming teams through benchmark comparisons, and automating weekly productivity reports for stakeholder reviews.

Unique Advantages

1. Unlike generic engineering dashboards, Bilanc specializes in AI impact analysis using proprietary LLMs trained on code review patterns and productivity datasets from 50,000+ public repositories.
2. The platform’s scheduled AI summaries combine quantitative metrics with natural language insights, automatically generating executive-ready reports on sprint performance or AI adoption trends.
3. Competitive differentiation comes from SOC2-certified infrastructure, regional data residency options, and a zero-retention policy for OpenAI interactions, addressing enterprise security concerns absent in similar tools.

Frequently Asked Questions (FAQ)

1. How does Bilanc ensure data security with sensitive codebase information? Bilanc uses read-only API access to source code platforms, never stores raw code, and operates under SOC2 compliance with optional on-premises deployment for regulated industries.
2. Which project management tools does Bilanc currently support? The platform integrates natively with JIRA, Linear, GitHub Issues, and GitLab, with custom connector development available for other systems within 7-10 business days.
3. Can Bilanc measure productivity for non-AI-assisted development work? Yes, the platform establishes baseline productivity metrics before AI tool adoption and continues tracking traditional development efforts through its effort estimation models.