Schedule a demo
See Oobeya with your engineering context
Explore delivery metrics, code quality, and AI coding assistant impact in a walkthrough tailored to your team and toolchain.
Your session
Tell us what you need
Share your priorities, team size, and tools. We’ll tailor the walkthrough to your needs.
- Delivery and quality
- DORA metrics, bottlenecks, and code quality.
- AI impact and attribution
- Assistant adoption and code attribution with Blamely AI.
- Deployment and rollout
- Integrations, infrastructure, and pricing.
Book your demo
Open scheduling in a new tabTrusted by engineering organizations worldwide
Customer story
Connects 3,000+ developers and 10,000+ repositories in one view of delivery, governance, and productivity.
Watch story
Use Case
Compares delivery performance across around 100 teams in 10+ countries using consistent tribe-level metrics.
Use Case
Aligns DevOps standards and AI metrics across 4,000+ developers and multiple group companies.
Use Case
Assesses engineering performance across 2,000+ developers and 10+ group companies with a consistent measurement model.
Use Case
Turns Azure DevOps and SonarQube data into clear engineering improvement priorities.
Use Case
Tracks telecom software delivery across teams and uses gamification to strengthen developer engagement.
View all 51 customers by industry
Banking & Financial
Software Vendor & IT Services
Fintech & Payments
Insurance
Manufacturing & Energy
Retail & E-commerce
Telecommunications
Customer reviews
How teams use Oobeya
According to our POC evaluations around IT productivity measurement, Oobeya was the tool that best met our expectations. Its integration flexibility, Symptoms capability, and DORA metrics gave us visibility across nearly 4,000 developers and helped us clearly see inefficient points, including outsourced projects.
A. D. · Turkcell
Engineering Leader
Telecommunications
What stands out the most with Oobeya is its depth of analysis and insights. It provides automated recommendations based on our team's activity, and the integration with tools like Azure DevOps and SonarQube makes the transition seamless.
M. I. · TEB (BNP Paribas)
DevOps Lead
Banking
Oobeya provides a comprehensive overview of our SDLC. We can see a wide range of metrics crucial for engineering efficiency by collecting data from different sources like version control, issue management, and deployment tools.
E. B. · Invicti
DevOps Chapter Lead
Cybersecurity
We use Oobeya effectively in measuring our software development processes. We can manage our processes better by evaluating the outputs it produces. You cannot manage data that you cannot measure.
A. C. · Etiya
Senior Manager, Solution Development
Telecom Software
We can easily track the squads and the projects. It is a very talented engineering intelligence platform that we can observe the team's productivity and motivation with DORA Metrics.
T. A. · Edenred
Software Development Manager
Fintech / Employee Benefits
Oobeya's onboarding process was impressively smooth. The support team is highly responsive, and the automatic detection of issues with actionable suggestions has been invaluable for a busy development team.
M. F. A. · Experilabs
Chief Technology Officer
Software & Innovation
Based on G2 and Gartner reviews.
Trust and recognition
Engineering intelligence for enterprise teams
- G2Category Leader
- Named a Category Leader in Software Development Analytics Tools, reflecting strong customer satisfaction and product-market fit.
- Gartner®2026 Gartner® Magic Quadrant™
- Oobeya is included in the report for Developer Productivity Insight Platforms. Read the announcement
- Enterprise fitUsed in complex environments
- Used in organizations that need cross-tool reporting, governance, and visibility across large engineering systems.
Demo FAQ
Before you book
What the session covers and how to prepare.
What happens in a demo?
A guided walkthrough of delivery, quality, and engineering metrics, focused on your team's questions and toolchain.
Who should join?
Invite the engineering decision-makers, platform leads, or quality leaders involved in your evaluation.
Do we need to prepare data?
No. Bring your current toolchain, team structure, and the engineering questions you want to answer.
Can the walkthrough cover our tools?
Yes. Share your planning, SCM, CI/CD, quality, and observability tools. You can review the integration catalog first.
Can we focus on DORA metrics?
Yes. The demo can cover deployment frequency, lead time, change failure rate, and recovery performance. See DORA Metrics for an overview.
Can we explore AI coding assistant impact?
Yes. Discuss assistant adoption, engineering outcomes, and AI code attribution with Blamely AI. Review AI Impact before the session.
Can we discuss private deployment?
Yes. Bring your infrastructure, governance, and data residency requirements. See On-Premise for deployment options.
What happens after the demo?
We can discuss deployment fit, rollout scope, and commercial planning. Review Plans for the package structure.
Discuss your requirements first
Send your questions or explore the product before booking.