Solution
AI & Developer Productivity Insights
Prove AI is delivering faster with healthier teams
Understand if AI tools across your team improved cycle time and accelerated delivery.
You can’t manage what you can’t measure
No AI ROI evidence
Limited visibility from tool-native dashboards only shows usage, not impact.
Vanity metrics, not delivery data
Acceptance rates and lines suggested don’t show if the code shipped, improved cycle time, or introduced new bugs.
No unified view across AI tools
There’s no single place to compare how tools are affecting delivery and which ones are worth keeping.
Everything you need to measure and improve delivery
Discover powerful insights into your team's health, projects and pipeline by extracting, transforming, and visualizing the data locked up in your engineering systems.
Transform insights into improvement
AI-powered recommendations
Taking action against your data with the MCP Server is easy and delivered right to you.
Metrics benchmarks
Add context to your team’s performance to understand what good looks like and set goals accordingly.
Developer experience
Combine metrics and developer sentiment to understand what’s happening and why.
Data at every level
Segment your data by team, users, repo, tool, and workflows.
Automation and workflow acceleration
Automate PR routing, reviewer assignment, and approvals with policy-driven YAML.
Learn More
Read our guide on the APEX framework to evaluate and scale AI impact.
Integrates with the tools you love
Lead with confidence
From proving AI ROI to governing adoption, understand and communicate the impact of changes across complex workflows, distributed teams and enterprise environments where safety, security, and compliance are paramount.
Engineering productivity
Automation & workflow acceleration
Developer experience
AI workflows & governance
Team coaching & development
Business alignment
Resource allocation
Investment strategy
Predictable delivery
Cost capitalization
From 50% DORA health scores to 98% in less than 6 months. LinearB has given our business critical telemetry and attribution for our engineering teams."
Matt Culver
Engineering Chief of Staff, Super.com
How it works
1
Actionable data
The platform automatically detects AI activity across tools to analyze and visually present insights through an intuitive UI and customizable dashboards.
2
Customizable insights
The information can be organized to fit your processes and structure with views at the top organization level and detailed drill-down to the team, project, and individual PR level.
3
AI-driven productivity
Integrated benchmarks, in-app recommendations, and MCP prompts help teams quickly identify and implement productivity improvement measures.