What is Navigara?
Navigara is an engineering analytics platform that connects AI coding performance directly to your product roadmap. It analyzes code like a senior engineer would, measuring how much real capacity AI tools add to your team — not in vague percentages, but in concrete terms like "engineers of capacity" you didn't have to hire. By grading every commit in ETV (engineering time value), Navigara turns raw AI spend into a clear ROI statement: what you paid, what you got, and whether any of it actually moved your roadmap forward.
Who it's for
- Engineering leaders who approved AI tool budgets and now need to show the board or CFO exactly what that spend returned.
- CTOs and VPs of Engineering who want to know whether AI is accelerating features or quietly inflating maintenance and bug-fix workloads.
- Finance-minded operations teams that need to tie engineering speed to revenue and hold AI spend accountable against hiring costs.
Key features
Capacity measurement, not activity tracking
Navigara scores each commit in ETV rather than counting pull requests or lines of code. This avoids the trap where cheaper work inflates activity metrics. The result is a clean read of how many engineer-equivalents your team gained — for example, 60 engineers shipping like 116.
Roadmap alignment in dollars
Connect Navigara to Jira or Linear, and every dollar of AI spend gets categorized: roadmap-aligned, aligned but off-roadmap, or unaligned with no stated outcome. This exposes the "shadow work" teams do when they can build faster — the things they always wanted to build, now that they can.
Work-type breakdown
AI spend is split into five buckets: features, maintenance, tests, docs, and fixes. This reveals whether your AI tools are creating new value or just cleaning up after themselves. If maintenance and bug-fix shares balloon, you're paying the tools to fix what the tools broke.
Smart model routing
Navigara can automatically route routine CRUD tasks to low-cost AI models without sacrificing quality. This cuts spend further by matching task complexity to model capability, so you're not paying premium rates for boilerplate work.
What stands out
"The same gain, read as engineers nobody hired and nobody has to onboard."
That's the core insight: Navigara reframes AI ROI from abstract percentages to a headcount number you can actually sign off on. It also answers the question most teams skip — was any of this on the roadmap? — by pricing out alignment in dollars. The per-team breakdown (Platform at 2.39x, Payments at 1.79x) shows where the next decision lives, and the cost-per-added-engineer figure ($2,230/month in the example) makes the budget conversation with finance essentially self-solving.
Worth checking out if…
You've bought AI coding tools and can't yet prove what they returned, or you suspect a chunk of AI spend is going to off-roadmap work and maintenance. If you need to justify renewals, defend budgets, or decide where to double down on AI adoption, Navigara gives you the numbers to do it — in minutes, from Git history, JIRA/Linear, and your AI licensing data.
