Navigara
Measure engineering before and after AI, then tie the speed to the roadmap and the roadmap to revenue.
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What is Navigara?
Navigara is an engineering analytics platform that measures AI ROI by converting productivity gains into quantifiable 'engineer equivalents'—the hiring capacity teams avoided. It analyzes commit data to show how much faster engineers work with AI, breaks down spend by work type (features, maintenance, tests, etc.), and ties impact to roadmap objectives.
Navigara pricing
Pricing model: Freemium
Navigara pros
- Converts abstract productivity gains into concrete 'engineer-equivalent' metrics (e.g., '60 engineers on payroll, +56 capacity added')
- Breaks down AI spend and capacity gains by work type, team, and roadmap alignment to identify where AI delivers most value
- Uses Engineering Throughput Value (ETV) grading per commit rather than AI tool usage metrics
- Provides per-engineer and per-team capacity multipliers to justify AI spending to leadership
Navigara cons
- Requires teams to tag commits and objectives meaningfully—incomplete roadmap metadata reduces accuracy
- Only measures existing AI adoption; cannot predict ROI before tools are deployed
- Pricing and integration specifics not disclosed; unclear which AI tools it supports
Frequently asked questions about Navigara
How does Navigara measure AI ROI?
It analyzes engineering commits before and after AI adoption to calculate capacity gains (in engineer-equivalents), cost per added engineer, and maps spend to roadmap alignment.
What is Engineering Throughput Value (ETV)?
A per-commit grading system that measures engineering velocity and productivity, not AI tool usage directly.
What breakdown does Navigara show?
AI spend by work type (features, maintenance, tests, docs, fixes), by roadmap alignment (on-roadmap vs. off-roadmap), and per-engineer metrics across teams.