Cortex
Cortex is an AI-powered internal developer portal that helps engineering teams improve productivity, reliability, and security by automating best practices and providing actionable insights.
Overview
Cortex is an internal developer portal (IDP) designed to help engineering teams ship software faster, more reliably, and securely by leveraging artificial intelligence. It centralizes data from multiple sources to provide a unified system of record that models ownership, service health, and best practices. Cortex automates workflows, enforces standards, and delivers actionable insights to improve engineering velocity, efficiency, security, and reliability. It integrates with popular IDEs like IntelliJ and VSCode and supports tools such as Git and Application Performance Monitoring (APM) systems.
The platform’s core capabilities include automated ownership recommendations, AI-driven engineering intelligence dashboards, customizable scorecards for enforcing standards, and workflow automation to streamline common engineering tasks. Cortex’s AI-powered cataloging engine, Magellan, automatically discovers and maps services, teams, and ownership, accelerating IDP setup. Engineering leaders, platform engineers, SREs, and developers benefit from tailored features that improve productivity, security compliance, incident response, and operational maturity.
What sets Cortex apart is its focus on AI-driven insights and automation within the developer workflow, enabling teams to reduce mean time to restore (MTTR) by up to 67%, double deployment frequency, and accelerate migrations significantly. Cortex also provides frameworks for AI readiness and maturity, helping organizations adopt AI coding assistants safely and effectively. With a strong emphasis on continuous improvement, Cortex tracks key metrics like DORA and velocity trends, enabling data-driven decision-making. Getting started involves connecting data sources, configuring GitOps workflows, and leveraging Cortex MCP for natural language queries within the IDE. Comprehensive documentation and case studies support onboarding and adoption.
The Problem
Engineering teams struggle with fragmented data, lack of clear ownership, inconsistent best practices, and inefficient workflows that slow down software delivery and increase operational risk. Without a unified system, teams face challenges in tracking service health, enforcing standards, and responding quickly to incidents.
The Solution
Key Features
Scorecards & Initiatives
Codify best practices, set targets, and track progress to raise engineering maturity across teams.
Cortex MCP (Multi-Channel Platform)
Enables natural language queries and surfaces actionable insights directly within IDEs and workflows.
Engineering Intelligence Dashboards
Monitor key metrics like deployment frequency, MTTR, and DORA to identify bottlenecks and improve performance.
Workflows Automation
Automate golden paths for scaffolding, infrastructure provisioning, and service creation.
Key Strengths
How Developers Use Cortex
Accelerating Production Readiness
Platform engineers use Cortex to automate readiness checks and enforce operational standards, reducing deployment risks.
Improving Incident Management
SRE teams leverage Cortex’s scorecards and workflows to detect issues early and automate incident response tasks.
Driving AI Adoption and Maturity
Engineering leaders track AI tool impact and adoption with Cortex’s AI Maturity Framework to optimize AI-driven development.
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Pricing
Free | Enterprise | |
|---|---|---|
| Price (Monthly) | Free | Custom pricing |
| Price (Annual) | Free | Custom pricing |
| Messaging | Community support via documentation and forums | Dedicated support and onboarding |
| Support | Community support via Discord and GitHub | Priority enterprise support with SLAs |
| Analytics |
Resources
Cortex provides extensive resources including detailed documentation, case studies, a blog, and an academy to help teams onboard and maximize value from the platform.