Deeper SDLC Analytics
Analyze delivery, quality, workflow, test, security, and AI-assisted development signals instead of stopping at catalog and maturity visibility.
Oobeya vs Cortex
Engineering intelligence beyond portal visibility
Cortex is a strong fit for service catalog, ownership, scorecards, and engineering operations programs. Oobeya is built for organizations that need deeper SDLC analytics, AI-assisted insights, advanced reporting, and enterprise deployment control.
Built for enterprise decisions
Primary focus
SDLC analytics across delivery, quality, workflow, test, security, and AI adoption
AI assistance
AI Chat and AI Insights for engineering analysis and improvement guidance
Deployment
Cloud options, true on-premise deployment, and local LLM support options
Enterprise rollout
Advanced reporting, onboarding, Customer Success, security, SLAs, and compliance support
When Oobeya fits better
Choose Oobeya when leadership needs trusted SDLC intelligence, not only a catalog-driven operating layer.
Where Oobeya delivers stronger engineering intelligence
Cortex helps teams standardize ownership, catalog services, and drive scorecard programs. Oobeya becomes the stronger fit when the evaluation depends on SDLC-wide analytics, AI guidance, deployment flexibility, and leadership reporting.
AI Chat and AI Insights
Move from dashboards to guided analysis with conversational engineering intelligence, improvement suggestions, and local LLM support options.
Executive-Ready Reporting
Give CIOs, CTOs, VPs, team leaders, and transformation teams reporting that connects engineering metrics to business decisions.
Enterprise Deployment Control
Support regulated environments with on-premise deployment, security expectations, compliance needs, SLAs, onboarding, and Customer Success services.
Comparison Matrix
Oobeya is stronger when SDLC evidence drives decisions
Cortex can be useful for catalog-led engineering operations, scorecards, and ownership workflows. Oobeya is designed for organizations that need richer engineering intelligence across real delivery data, AI insights, advanced reporting, and controlled deployment models.
Best fit when you need:
- Leadership reporting across teams, products, portfolios, and business units
- AI Chat, AI Insights, and local LLM support options
- SDLC analytics beyond catalog and scorecard governance
- On-premise deployment, security reviews, SLAs, compliance, and onboarding support
| Features | Oobeya | Cortex |
|---|---|---|
| Service catalog and ownership model | Limited | |
| Scorecards and maturity standards | Partial | |
| DORA and flow metrics depth | Partial | |
| Delivery, quality, test, and security analytics | Partial | |
| AI coding assistant visibility | ||
| AI Chat assistant for engineering analysis | Partial | |
| AI Insights with local LLM support options | ||
| Advanced executive reporting | Partial | |
| On-premise deployment | ||
| Enterprise support, onboarding, SLAs, and compliance |
Customer proof
Engineering teams choose Oobeya fortrusted visibility at scale to measure, align, and improve in the AI era.
For comparison evaluations, Oobeya brings customer stories, testimonials, and enterprise adoption signals together with the engineering intelligence features teams need after the first dashboard.
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
Compare with confidence
Interested in evaluating an enterprise-ready Cortex alternative for your organization?
Schedule a focused walkthrough to validate SDLC analytics depth, AI capabilities, deployment model, reporting needs, and enterprise support expectations with your own context.
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