Navigate The
AI transformation.
Run AI-native engineering on data. Built by CTOs who got tired of guessing.
AI Transformation - Year over Year
Engineering performance grew 128% YoY → Headcount grew 28% (34 devs).
Performance is measured the way a senior engineer would do it: by reading the story behind each PR. We use a mix of LLMs, ML, and algorithms to do this at scale. Our white paper at research.navigara.com. Performance is measured in ETV (Engineering Throughput Value). Each commit is classified into Growth, Maintenance, or Fixes.
Built on top of research.Navigara's measurement layer is grounded in the Open-Source Engineering Performance. A study of public repositories across six AI-forward organizations. The same model that benchmarks Cloudflare, Meta, OpenAI, and Microsoft is what your team gets pointed at on day one.
Five things you can do on Monday morning.
Prove AI is working.
Stop arguing about whether the new tools are paying off. Benchmark your team against itself a year ago. Same people, same codebase, real numbers. Real performance, real delta, no debates.
- Year-over-year comparisons, normalized for headcount and project scope
- Drill into any team, repo, or individual contributor
- Board-ready charts you won't have to defend in the room
See what other companies are doing.
Real-time view into what's happening across engineering: new tools, new processes, new patterns. Implement what's working, faster.
- Anonymized adoption curves from 200+ engineering orgs
- Filter by company stage, headcount, and stack
- Weekly digest on what your peers shipped this week
Unbiased reporting your board will read.
Weekly, monthly, and quarterly reports on what your teams are actually doing: adoption rates, tool usage, output. Numbers you can take to the board.
- One-click board pack: PDF, Notion, or Google Slides
- Audit trail with raw signals behind every metric
- No vibes, no proxies, no team self-reports
- Rolled out Cursor + Claude to 100% of the team in May'25
- Cut median PR review wait from 14h to 3.2h (CODEOWNERS rebuild)
- Migrated 6 monoliths to Bazel; CI dropped from 22m to 7m
- Replaced manual ledger reconciliation with an LLM-assisted pipeline
- Hired 2 senior engineers from Stripe in Q2'25
- Killed 4 legacy gateway integrations; 38% less code to maintain
- Adopted Claude Code for spec-driven endpoint generation
- Replaced REST handlers with auto-generated tRPC + OpenAPI sync
- On-call rotation moved from weekly to bi-weekly; less context loss
- Unified iOS + Android under React Native (Q3'25)
- Brought design system in-house; 60% fewer one-off components
- Detox snapshot tests cut regression QA from 3 days to 4 hours
- Swapped Elasticsearch for Typesense; ops surface 70% smaller
- Embedding pipeline moved from nightly batch to streaming
- Killed legacy ranker; replaced with single learned-to-rank model
- 2 senior engineers and the EM left in Q4'25; team has not refilled
- Experimentation platform migration absorbed ~40% of remaining capacity
- Hiring pipeline reopened in Feb; expect inflection by Q3'26
Performance-based targets that move with the curve.
Every quarter, peer companies ship faster. We benchmark your team against your peer cohort in real time, then move your targets up to keep pace. The bar isn't where you were, it's where they are.
- Targets re-indexed weekly against your peer cohort's actual output
- See exactly how fast the curve is moving and where you sit on it
- Slack alerts when the cohort accelerates and your team falls behind
Ask in Slack. Get an answer.
Native Slack interface. Ask anything about your engineering org and get an answer. No dashboards to open, no filters to set.
- Natural language across every metric, team, and timeframe
- Citations link back to raw activity for verification
- Schedule recurring questions as Slack digests
Your data, your environment, your rules.
Three deployment models. Pick the one that matches your security.
Align engineering work to business outcomes.
Every quarter the CEO names the initiatives that move the company forward. Navigara measures, in Engineering Throughput Value, exactly how much each team is putting against each one → week by week, in dollars. No more "what is engineering doing?"
Run engineering
on data.
Connect your stack. See your first delta within an hour. The board pack writes itself.