# Bilanc > Engineering intelligence platform that analyses every pull request with AI to measure productivity, track AI tool ROI, and surface bottlenecks. Bilanc is the engineering intelligence platform for the agentic era. We analyse every pull request with AI to measure engineering productivity and AI tool ROI. Built for engineering leaders who need to understand the real impact of AI coding tools on their teams. ## Pages - [Home](/): Overview of Bilanc — engineering intelligence for the AI era. - [Pricing](/pricing): Simple per-engineer pricing and Enterprise plan details. - [Blog](/blog): Insights on engineering productivity, AI coding tool ROI, and DORA metrics. - [Beyond Lines of Code](/blog/beyond-lines-of-code-measuring-engineering-productivity-with-ai): How we measure engineering productivity with AI. - [Measuring AI's Impact](/blog/measuring-ai-impact-on-engineering-productivity): Framework for measuring AI tool impact on engineering teams. - [LLMs as Feature Extractors](/blog/llms-as-feature-extractors-for-classical-ml): Using LLMs to feed classical ML pipelines. ## Product Bilanc connects to your GitHub, GitLab, or Bitbucket and analyses every pull request using AI. It measures engineering productivity, tracks DORA metrics, and surfaces the ROI of AI coding tools like Copilot, Cursor, and others. ### Key Features - **AI Impact Measurement**: Quantify the productivity gains from every AI coding tool across your engineering organisation - **Pull Request Analytics**: Every PR is scored for complexity, effort, and quality — giving managers a ground-truth view of engineering output - **DORA Metrics**: Track deployment frequency, lead time, change failure rate, and MTTR in real time - **Bottleneck Detection**: Surface slow review cycles, blocked engineers, and systemic delays before they compound - **Developer Experience**: Understand where engineers spend their time and what's slowing them down - **Automated Reporting**: Weekly and monthly summaries for engineering managers, delivered automatically ### Pricing $25 per engineer per month. Simple, per-seat pricing. No annual commitments required. ## Company - **Founded**: 2023 - **Website**: https://bilanc.co - **Contact**: hello@bilanc.co - **Backed by**: Y Combinator ## Use Cases - Engineering managers wanting to measure the ROI of AI coding tools like Copilot or Cursor - CTOs and VPs of Engineering tracking team productivity across multiple squads - HR and Finance teams needing data-driven justification for AI tool spend - Engineering teams looking to reduce cycle time and improve delivery throughput ## Target Audience Engineering leaders at software companies (10–500 engineers) who are adopting AI coding tools and need to measure their impact objectively. ## Integrations - GitHub - GitLab - Bitbucket - Jira - Linear ## Key Differentiators Unlike DORA metrics dashboards or activity trackers, Bilanc uses LLMs to read the actual code in every pull request — understanding effort, complexity, and quality at the semantic level. This means productivity scores reflect real engineering work, not just commit counts or lines of code. ## Links - Homepage: https://bilanc.co - Pricing: https://bilanc.co/pricing - Blog: https://bilanc.co/blog - LinkedIn: https://www.linkedin.com/company/bilanc - Twitter/X: https://twitter.com/biaborhein - Y Combinator: https://www.ycombinator.com/companies/bilanc