Unified view
One operating picture across the SDLC
Bring repositories, boards, pipelines, quality signals, incidents, and AI-assisted workflow data into one leadership-ready surface.
AI-POWERED ENGINEERING INTELLIGENCE
AI impact and
SDLC visibility in one platform
Oobeya helps engineering leaders see delivery, quality, and AI-assisted workflow change in one operating view.
Move from fragmented signals to clear decisions, stronger governance, and faster improvement loops.
app.oobeya.io/dashboard
Engineering intelligenceLive signals
Lead time
2.4h
Deploy freq
12/day
MTTR
28m
::
Organizations using Oobeya
Real customers, real stories.Trusted by complex engineering organizations to measure, align, and improve in the AI era.
Oobeya is used across banking, telecom, insurance, software, retail, and large-scale enterprise engineering teams that need a shared view of delivery, quality, workflow, and improvement signals.
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.
Watch story
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
The Oobeya Difference
Why engineering teams choose us
Oobeya helps organizations move from disconnected tools and lagging dashboards to one clearer system for delivery, quality, AI impact, and engineering governance.
Leadership signal
Ask Oobeya AI
Turn scattered telemetry into clear answers, summaries, and leadership-ready guidance on what to fix next.
AI context
AI-assisted delivery with governance
Understand where coding assistants change speed, quality, and review pressure without losing accountability.
Enterprise fit
On-premise deployment
Run Oobeya in the deployment model that fits your governance, residency, and enterprise operating constraints.
Explore Oobeya
Start from the pages that match your current priority
Whether you are scaling AI-assisted delivery, setting benchmark targets, operationalizing SonarQube, or aligning KPI behavior, Oobeya now has cleaner entry points for each conversation.
AI Impact
AI Coding Assistant Impact
Track Copilot, Cursor, and Claude adoption against efficiency, quality, cycle time, and DORA outcomes.
Explore page
Ask Oobeya
AI Chat
Ask Oobeya plain-language questions about delivery risk, team health, quality, and AI-assisted work.
Explore page
AI Summary
AI Insights
Turn engineering dashboards into executive summaries, risks, strengths, and next-best actions.
Explore page
AI Attribution
IDE Plugin
Capture AI-assisted code origin signals from the IDE and connect them to engineering intelligence.
Explore page
Benchmarks
Engineering Benchmarks
Compare teams against benchmark levels and turn engineering maturity into a shared operating language.
Explore page
Microsoft
Microsoft Ecosystem
See how Oobeya connects Azure DevOps, GitHub, Entra, and Microsoft procurement into one leadership view.
Explore page
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
Measure the four key metrics with delivery, quality, 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...
Insights
Practical writing for leaders shaping AI-driven engineering systems
Read how engineering teams are measuring AI coding assistant adoption, interpreting DORA in context, and building better visibility across delivery, quality, and governance.
Oobeya is included in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms. Learn how Oobeya approaches engineering intelligence, AI impact, and developer productivity visibility.
Emre DundarA recap of Oobeya Poland Tour 2026 across Warsaw, from Data & AI Warsaw Tech Summit and IDC CIO Summit Poland to SysOps/DevOps Warszawa MeetUp and 1:1 engineering leadership meetings.
Emre DundarA practical guide to measuring AI-assisted development with DORA, SPACE, quality guardrails, adoption signals, and realistic ROI expectations.
Sukru CakmakOobeya has been recognized again as a Category Leader in G2's Software Development Analytics Tools category for Spring 2026.
Omer CelebiogluOobeya 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.
Oobeya is an engineering intelligence platform that helps leaders understand delivery, quality, workflow, and AI-assisted development in one operating view. It is designed to reduce fragmented reporting and make engineering decisions easier to trust.
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