Navigara, Inc.
Navigara is the performance layer for engineering teams, using AI to measure output, prove AI ROI, and align engineering work to business objectives.
At a Glance
- Engineering-heavy organizations
- Software companies using AI coding assistants
- Enterprise technology teams
AI Tools by Navigara, Inc.
(1)
Navigara
AI ROI Engineering Analytics
Discussions
No discussions yet
Be the first to start a discussion about Navigara, Inc.
Latest News
Products & Services
Engineering performance measurement platform that analyzes code and workflow data to provide visibility into team impact, AI ROI, and roadmap alignment.
Token Spend Intelligence tool that routes tasks to the most cost-effective AI models while maintaining quality.
A live benchmark of engineering output across top open-source projects and major tech companies.
Market Position
Navigara positions itself as the 'performance layer' for engineering, similar to 'Moneyball' for sports. It differentiates through AI-native measurement (grading diffs) and a focus on AI ROI rather than just DORA metrics.
Leadership
Founders
Jirka Bachel
Co-Founder & CEO. 18+ years of technical leadership across Silicon Valley and Prague. Previously Co-Founder and CTO of Onetone.ai and technical lead for the Seznam.cz browser (1.5M monthly users).
Peter Malina
Co-Founder & CTPO. 15+ years leading engineering teams. Previously Director of Engineering at Kiwi.com, where he ran the Platform group.
Executive Team
Jirka Bachel
Co-Founder & CEO
Multiple-time CTO with experience in building browsers and AI-powered customer support tools.
Peter Malina
Co-Founder & CTPO
Expert in scaling engineering teams and platform infrastructure for consumer products.
Board of Directors
Founding Story
Founded by engineering leaders who were frustrated with managing large teams using 'gut feeling' and spreadsheets. They built Navigara to provide the data they wished they had—a way to translate every commit into a language the business can act on.
Business Model
Revenue Model
Subscription-based (SaaS) priced per developer per month.
Pricing Tiers
14-day trial, up to 1,000 pull requests analyzed, full platform access.
Continuous performance analysis, pre-AI year comparisons, per-developer breakdowns. For teams up to 30 devs.
Includes all 'Measure' features plus AI ROI tracking, roadmap alignment (Jira/Linear), nightly process checks, and benchmarking.
On-prem or air-gapped deployment, SOC 2, SSO/SAML, dedicated success manager.
12-month full-repo analysis run on-prem; credited toward Enterprise if the engagement continues.
Target Markets
- Engineering-heavy organizations
- Software companies using AI coding assistants
- Enterprise technology teams
- Measuring the impact of AI coding tools
- Aligning engineering capacity with product roadmaps
- Improving engineering delivery processes
- Managing AI token spend and model quality
- Kiwi.com
- ESET
- FTMO
- Finshape