The AI Engineering Productivity Platform

Bilanc understands the impact of AI on your engineering productivity

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Core Features

Engineering Metrics

Benchmarks

AI Reports

AI Impact Analysis

Resource Allocation

Engineering Productivity

We use AI to calculate a Productivity Score which accounts for the complexity of the tasks your engineers are picking up, the quality of code being shipped, and the depth of their understanding of the codebase.

AI Insights & Docs

Every week, our agents delivers a report showing what has happened across all engineering projects: what's gone well, and what’s stuck. All in easy-to-share docs, to speed up reviews, team meetings and more.

Integrations

We're building integrations across your tech stack. Github, Gitlab, Bitbucket, Linear, JIRA, incident.io and more. If we don't have an integration, we'll build it for you in a few days.

AI Adoption Analysis

We help engineering leaders that are struggling to either increase AI adoption, or justify AI investments. We run experiments to measure the impact of AI on engineering productivity.

A few customer success stories

We’ve been using Bilanc at Origin Financial for the past few months, and it’s been awesome. It gives our engineering leaders super clear visibility without adding extra overhead — which is rare.

The insights are actually useful (not just vanity metrics), and it’s helped us improve productivity across the board. It’s lightweight, easy to adopt, and just works.

— Gustavo Silva (VP of Engineering)

Hey,... Long story short… Metrics like lines of code (LoC) on their own can be misleading or only tell part of the story. But combining all that data with LLMs turned out to be surprisingly powerful. We ran a demo and got our first analysis back in under 24 hours (data ingestion period), and it closely aligned with my own subjective analysis of the dev team. Top and bottom performers were clearly identified.

— Andis Cirulis (VP of Engineering)