Oobeya is a Software Engineering Intelligence Platform that helps software teams and engineering organizations understand engineering metrics, delivery, quality, workflow, developer experience, and AI-assisted development in one operating view.
SOFTWARE ENGINEERING INTELLIGENCE PLATFORM
Software engineering intelligence for modern software teams
Connect Git, project, CI/CD, quality, test, and AI-assisted development signals to understand delivery performance, developer experience, code quality, and AI impact in one operating view. Use it with one software team, then scale the same measurement model across engineering organizations with thousands of developers.
Oobeya is a Niche Player in the 2026 Gartner® Magic Quadrant™
for Developer Productivity Insight Platforms
::
Trusted by engineering organizations worldwide
Customer story
Sicredi connects 3,000+ developers and 10,000+ repositories in Oobeya, giving a large, distributed engineering organization one trusted view of delivery, governance, productivity, and platform health.
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Use Case
SD Worx evaluates tribe-based delivery metrics across around 100 development teams in 10+ countries, helping distributed engineering groups compare delivery health with one shared language.
Use Case
Turkcell brings 4,000+ developers, thousands of repositories, and multiple group companies into a shared visibility model for DevOps standardization, AI metrics, and portfolio-level engineering insight.
Use Case
Koc Group, a Fortune 500 company, uses Oobeya to assess 2,000+ developers across 10+ group companies on one platform, aligning diverse industries around the same engineering assessment model and improvement rhythm.
Use Case
TEB, a BNP Paribas company, uses Oobeya to turn Azure DevOps and SonarQube data into clearer improvement priorities, helping enterprise teams move from fragmented metrics to practical, comparable recommendations.
Use Case
Etiya uses Oobeya to make telecom software delivery measurable across complex teams, with the Gamification module helping drive engagement around process health and improvement signals.
View more customer logos by industries
Banking & Financial
Software Vendor & IT Services
Fintech & Payments
Insurance
Manufacturing & Energy
Retail & E-commerce
Telecommunications
Built for every role
Engineering intelligence for the people who shape software delivery
Oobeya supports one software team and scales to engineering organizations with thousands of developers, giving each role the context they need from executive visibility to team-level improvement signals.
Team health
Lead with evidence, not status updates
Compare delivery flow, quality, capacity, and AI impact across teams with one trusted view of engineering performance.
Explore for engineering leaders →Delivery signalsLive
Team health
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What this role gets
See where teams are accelerating, where work is blocked, and which signals need leadership attention.
✓Team comparison
✓Delivery bottlenecks
✓AI impact visibility
DORA trends
Quality risk
Capacity balance
Explore Oobeya
Start from the pages that match your current priority
Explore engineering metrics across Git, Jira, CI/CD, quality, testing, and AI-assisted development, then move into focused workflows for AI Impact, benchmark targets, SonarQube visibility, and KPI behavior.
Metrics
Engineering Metrics
Learn which software engineering metrics matter across delivery, flow, planning, quality, developer experience, and AI-assisted development.
Explore page
Productivity
Developer Productivity
Measure productivity through outcomes, workflow friction, quality, developer experience, and AI-assisted development context.
Explore page
AI Impact
AI Coding Assistant Impact
Track Copilot, Cursor, and Claude adoption against efficiency, quality, cycle time, and DORA outcomes within the same engineering intelligence model.
Explore page
Ask Oobeya
AI Chat
Ask Oobeya plain-language questions about delivery risk, team health, quality, and AI-assisted work.
Explore page
AI Attribution
AI Code Attribution
Identify AI-assisted, AI-generated, and human-authored code, then connect code-origin signals to engineering outcomes.
Explore page
Benchmarks
Engineering Benchmarks
Compare teams against benchmark levels and turn engineering maturity into a shared operating language.
Explore page
SPACE
SPACE Metrics
Use SPACE as a balanced framework for developer productivity, satisfaction, collaboration, and flow.
Explore page
Microsoft
Microsoft Ecosystem
See how Oobeya connects Azure DevOps, GitHub, Entra, and Microsoft procurement into one leadership view.
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Gamification
Gamification
Translate KPI targets and benchmark expectations into visible team goals that support healthy improvement loops.
Explore page
Integrations
Integrations
Unify Git, Jira, CI/CD, quality, identity, and AI tooling so teams can work from one trusted engineering dataset.
Explore page
DORA
DORA metrics leadership can actually act on
Use DORA's current software delivery performance model with delivery, quality, rework, and AI workflow context in the same operating view.
See whether faster output is producing healthier delivery.
Tie DORA movement to behavior, tooling changes, and ownership.
Inside Oobeya
DORA in delivery context
weekly view
Delivery signal
Release pace, review wait time, and work-in-flight together.
Risk signal
Change failure and incident recovery without losing ownership context.
AI impact signal
See whether AI-assisted development changes flow in healthy ways.
Integrations
Connect the stack you already run, without adding process overhead
Oobeya unifies delivery, quality, and organizational context so leadership can work from one consistent operating view instead of fragmented dashboards.
Keep team workflows intact while combining Git, CI/CD, planning, quality, identity, and AI signals into one clearer system of record.
Explore Integrations
Ask Oobeya
Chat with your engineering data
Ask plain-language questions about delivery risk, team load, release stability, and AI-assisted workflow change. Oobeya connects signals across your SDLC and returns contextual, explainable answers in seconds.
- Why did change failure rate increase last sprint?
- Which teams are accumulating delivery risk after AI adoption?
- Where are review bottlenecks forming, and why?
- What changed across repos, and how does it impact stability?
Ask Oobeya
AI Chat
You
10:42 AM
What changed last week, and why does it matter?
Oobeya
10:42 AM
Change volume increased by 28% in Team A, review time rose due to 2x larger PRs, and change failure rate ticked up after a spike in hotfixes. The primary driver is a growing queue in code review.
Oobeya is typing...
Show risk trend by teamWhich repo needs review focus?
Ask follow-up about risk, owners, bottlenecks...
Oobeya FAQ
Questions teams ask when evaluating Oobeya
Clear answers about what Oobeya does, who it is for, how it fits modern engineering environments, and where teams usually go next.
Ready to See It in Action?
Talk to an expert, see your data in action
Share your context, and we’ll walk you through the most relevant visibility and governance insights for your teams.
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Oobeya, Inc. @ 2026 2513 Shallowford Rd. #200 Suite 232, Marietta, GA 30066 USA