Are your AI tools worth $240k/month?

Seat usage is not the same as business impact. Navigara measures the actual change in engineering throughput per commit before and after AI tools are adopted, so leaders can see whether the spend produces real output.

Which teams deliver the most value?

Self-reported productivity is not comparable across teams or vendors. Navigara grades commits with a language model and aggregates the result by team, repo, or vendor so you get a single comparable signal of output.

Are we shipping faster than last year?

Activity totals do not control for headcount, AI tooling changes, or scope. Navigara benchmarks current ETV against the team's own pre-AI baseline so year-over-year comparisons stay apples-to-apples.

What is Engineering Throughput Value (ETV)?

Engineering Throughput Value (ETV) is Navigara's per-commit metric. A language model reads each diff and assigns a value score that reflects substantive engineering work, rather than counting raw activity. ETV is reported relative to the team's pre-AI baseline and split into Growth, Maintenance, and Waste categories.

How is Navigara different from DORA metrics?

DORA measures pipeline events such as deploy frequency, lead time, change-failure rate, and MTTR. Navigara measures the content of the work itself by grading each commit with ETV, then layers DORA-style outcomes on top so leaders see both how often the team ships and what is actually being shipped.

Which tools does Navigara integrate with?

Navigara connects to GitHub, GitLab, Jira, and Linear. It reads commit history, pull requests, and issue activity to produce ETV scores and delivery analytics without requiring engineers to log time or fill in dashboards.

Who founded Navigara?

Navigara was co-founded in 2025 by Jirka Bachel (CEO, ex-CTO and ex-VP of Engineering at Seznam.cz) and Peter Malina (CTPO, ex-Director of Engineering at Kiwi.com).

Where is Navigara based?

Navigara has offices in San Francisco, California and in Prague, Czech Republic. The company raised a $2.5M seed round in early 2026.

BuildMeasureScale

The performance layer for AI-native engineering.

We measure engineering performance, tie it to revenue, and fix what slipped.

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Trusted by engineering teams

Five things we do every day.

Prove your AI ROI.

Measure engineering before and after AI, then tie the speed to the roadmap, and the roadmap to revenue.

Faster, and faster at what: the work mix behind the gain
Cost per unit of throughput, judged against what it bought
Board-ready pack, scored from commit history, not surveys

Explore AI ROI

Q1-2026-Board-Pack.pdf

Section 03 · Engineering output · Q1 2026

+0%

vs. Q1 2025 baseline

Per-developer performance improved across most teams this quarter, with fixes/bugs holding steady.

Average developer performance, by team

ETV per developer per week · Q1'25 baseline vs Q1'26

Q1'25Q1'26

Platform

4.27.2

+71%

Payments

5.08.1

+62%

API

3.85.6

+47%

Mobile

4.56.5

+44%

4.86.4

+33%

Growth

4.65.0

−8%

02468

Improve your processes.

Every night an agent reads your tickets, your commits and your AI spend, then flags where your standards slipped. Close the findings and your delivery climbs.

Written by the fractional CTOs who fix this for a living
Every finding carries a severity, a location and an owner
Every rule and threshold is yours to overwrite

Explore Process Checks

process checks · navigara.app

Nightly run · 12 weeks in97 resolved

ReviewRubber-stamp review on a risky changeResolved
RoadmapWork shipped under an epic nobody trackedResolved
AlignmentSprint spent on a deprioritized initiativeOpen
ReviewCommit unrelated to its ticketOpen

Open findings12427

ETV / dev / mo9.414.1

Align your engineering to the roadmap.

Only 49% of last quarter's output landed on a named objective. We rank every objective by the performance it actually received, and flag the ones running late.

Every objective ranked by the performance it received, in ETV
Unplanned work broken out, so scope churn shows mid-quarter
Drill into any number to see the PRs behind it

Explore Roadmap Alignment

objectives · navigara.app

Objective alignment · 12 months49% aligned

Checkout redesignActive144.0ETV
Billing platform v2Completed42.8ETV
Mobile app redesignStarted39.0ETV
SOC 2 Type IIActive23.6ETV
Search relevanceActive1.4ETV

Aligned447.9ETV

Unplanned466.1ETV

Overdue3

Measure engineering performance, all the way up.

Every commit is graded in ETV, not counted, and every author is graded the same way, human or agent.

A developer is the sum of their pull requests, a team of its developers
Average team performance per month, which hiring alone cannot move
Every number opens down to the commits behind it

Explore Engineering Performance

benchmarking · navigara.app

Avg. Developer Performance · YoY

Performance per developer per quarter, calculated from commit complexity, architecture changes, and deployment impact. Full methodology here →

Lower your token spend.

Chameleon routes each task to the cheapest model that can hold the quality bar. Some work must never leave your frontier model, and it does not.

Trainable: if migrations always run on the frontier model, that becomes policy
Spend priced against graded output, not per pull request
Every dollar traced from an initiative to the commit

Explore Token Spend Intelligence

chameleon · navigara.app

Routing · 1,284 tasks · last 24h$18,240 · 30d

Scaffold CRUD endpointsHaiku 4.5−94%
Refactor auth middlewareSonnet 5−61%
Payments architecture spikeOpus 5Held
Incident root cause, checkoutOpus 5Held

Saved vs frontier-only41%

Quality bar held100%

As featured in

See all coverage

Three numbers to know if AI tools are performing

Performance

How much faster is my team?

Value shipped per developer, and how much it has changed over the last 90 days.

16.2ETV / dev / mo90-day trend +18%

Target15 ETV

Performance per developer

AI Spend

How many tokens does that gain cost?

What one unit of shipped value costs you in AI spend. Lower is better.

$242per 1 ETV90-day trend +8%

Target$200

AI spend per ETV

Roadmap Alignment

Is that performance on the roadmap?

How much of that shipped value lands on roadmap priorities, not just volume.

51%align with roadmap90-day trend −11%

Target75%

Align with roadmap

Unaligned

Your data, your environment, your rules.

Three deployment models. Pick the one that matches your security.

Cloud SaaS

Fully managed. No infrastructure needed. Data is processed and stored in Navigara's cloud. Connect your sources, get insights in minutes.

Cloud SaaS with on-prem collector

SaaS frontend and API with a collector agent inside your network. Source code stays within your perimeter; only metadata and analysis results are sent to the cloud. Docs →

Full on-premises

All components deployed inside your infrastructure. Complete data sovereignty with no external dependencies. For regulated environments and air-gapped networks. Docs →

SSO, SCIM, and audit logs in every mode

SAML / OIDC via Okta, Entra, or Google. Role-based access for execs, managers, and ICs. Every read is logged and exportable.

What leaves your perimeter

per deployment

Cloud SaaS

Source + metadata in Navigara cloud

Fully managed · fastest to value · SOC 2 Type II

SaaS + Collector

Only metadata + analysis results

Source code never leaves your network · collector runs inside VPC

Full on-prem

Nothing leaves. At all.

Helm + Terraform · air-gap supported · BYO storage and identity

Compliance

SOC 2 · GDPR · ISO 27001 (Q3 '26)

DPA on request · sub-processor list public

# on-prem collector · what's emitted

commit.metadata ✓ shape, author, timestamps

review.activity ✓ approvals, comments

analysis.scores ✓ ETV per developer

source.code ✗ stays in your network

secrets / .env ✗ never read

→ residency: your VPC / your region

Map engineering work to business outcomes.

Every dollar of engineering output tied to a company goal. Navigara traces every commit to the initiatives that matter, then quantifies the throughput in dollars per priority. Every team, every week. The black box is now your ledger.

Commits

team-backend213team-frontend270team-platform245+ 5 more

Navigara processing

Architect

Maps changes to features

Classification

Tags intent and work type

Performance

Complexity, engagement

Commit story

What changed and why

JIRA cross-check