Developer Productivity Intelligence

Know the real cost of AI
in your engineering team

Link AI usage to tasks, projects, and productivity. Track time, measure impact, protect developer wellbeing. One platform for the full picture.

$4.2K
AI cost per sprint
tracked
23%
productivity gain
measured
1.8h
avg. daily focus
protected
The Gap in the Market

Your team adopted AI.
Your tools didn't.

AI costs are invisible

Teams use Copilot, ChatGPT, Claude — but nobody knows the real cost per project, per developer, or per task. Finance gets a single invoice with zero attribution.

Time tracking is disconnected from AI

Harvest, Toggl, Clockify track hours. But they have no idea how much of that time involves AI assistance, or what that AI actually costs.

No productivity-to-cost correlation

Is AI making your team faster? Nobody can prove it. There's no way to link AI spend to actual output — commits, PRs, features shipped.

Developer wellbeing is an afterthought

Tools track output, never input. No one monitors when devs are overworked, skipping breaks, or losing focus — until burnout hits.

"We spend $50K/month on AI tools but can't tell if it's making us faster or just more expensive."

— Every engineering director in 2026

The Cadenzo Approach

One ecosystem.
Complete visibility.

Cadenzo connects the dots that no other tool does: it links time spent on tasks to AI consumed, correlates both with actual output, and watches over developer health — all in one platform.

AI cost attributed to projects and tasks
Productivity metrics that prove ROI
Developer wellbeing as a first-class signal
Works offline — syncs when ready
Desktop Tracker
Timer + AI capture
IDE Extension
Copilot / LLM detection
Backend API
Analytics engine
Web Dashboard
Insights & reports
Capabilities

Four pillars. One platform.

AI Cost Intelligence

Know exactly what AI costs — per task, per project, per developer.

$4.2K/sprint
avg. AI spend visibility unlocked
  • Automatic capture of Copilot, ChatGPT, Claude, and custom LLM usage
  • Token-level cost attribution to specific projects and git repos
  • Model-by-model breakdown with custom pricing per org
  • Budget alerts before costs spiral
Why Cadenzo

The tool that doesn't exist yet.

Existing solutions solve pieces of the puzzle. Cadenzo is the first to connect AI costs, productivity metrics, time tracking, and developer wellbeing in one system.

Tool
What they do
What they miss
Harvest / Toggl
Time tracking
AI cost tracking, productivity correlation, wellbeing
GitHub Copilot Metrics
Copilot acceptance rate
Multi-model, cost attribution, project linking
Waydev / LinearB
Engineering analytics
AI cost correlation, time tracking, wellbeing
Sleekplan / DX
Developer experience surveys
Real-time data, automated tracking, cost insight
Cadenzo
All of the above — unified, correlated, privacy-first.
How It Works

Four steps to full clarity

01

Install & Forget

Install the desktop tracker and IDE extension. They detect projects automatically from git context. Zero configuration needed.

02

Work Naturally

Start your timer, code with AI, commit, push. Cadenzo captures everything in the background — time, AI requests, tokens, costs.

03

See the Full Picture

Open the dashboard. See how much AI costs per project, how it correlates with output, and whether your team is in a sustainable rhythm.

04

Optimize & Protect

Use data to decide which AI tools deliver ROI. Get alerts on budget overruns. Protect developers with proactive wellbeing signals.

Stop guessing.
Start measuring.

Cadenzo gives engineering leaders the data to prove AI ROI, protect developer health, and optimize spend — without surveillance or micromanagement.

Free for individual developers. Team plans available.