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CTO.ai
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Added:8/14/2025
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SUBSCRIPTION
AI-PoweredCloud-BasedSaaSEnterpriseAutomation
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Building and managing developer operations has never been easier, thanks to CTO.ai. This smart DevOps platform changes how teams deploy software by providing automated workflows instead of complex manual processes. CTO.ai is a Vancouver-based company offering a Developer Control Plane that helps teams build, test, and deploy applications efficiently on any cloud provider.

Unlike traditional DevOps tools that require extensive setup and maintenance, CTO.ai reads your development needs and creates automated workflows with built-in monitoring. Whether you need faster deployments, better code reviews, or want to measure your team's performance, this platform makes developer operations simple and reliable. It's like having a smart DevOps expert who automates everything for your team.

What is CTO.ai

CTO.ai is a Developer Control Plane built to deliver fast, reliable, and well-measured software development workflows. Think of it as a mix between traditional CI/CD tools and modern platform engineering, but much simpler to use. It uses artificial intelligence and automation to provide containerized workflows that support ChatOps, GitOps, instant pull request previews, and AI code reviews.

The main difference from regular DevOps tools is simple: instead of making you configure complex pipelines, CTO.ai creates smart workflows that work across any cloud provider. Each deployment includes automatic DORA metrics tracking, allowing you to easily measure and improve your software delivery performance. Founded in 2017, this platform has become popular because it saves time and makes DevOps accessible to any development team, regardless of their infrastructure expertise.

How to Use CTO.ai

Using CTO.ai is straightforward and developer-friendly. First, visit cto.ai and contact their team to set up your Developer Control Plane. The platform integrates with your existing Git repositories and cloud infrastructure without requiring major changes to your current workflow.

Here's how to get the best results:

  • Connect your GitHub repositories for automatic workflow detection

  • Use the CLI tool to run workflows locally or in Slack

  • Set up instant PR previews to test changes before merging

  • Enable AI code review for automated feedback on pull requests

  • Configure DORA metrics tracking to measure your team's performance

The platform works through simple YAML configuration files that define your entire deployment workflow. You can create custom workflows using their SDK or use pre-built templates for popular frameworks like React, Node.js, and Python. The system automatically captures deployment events and provides real-time insights through their dashboard. Teams can trigger workflows from Slack, CLI, or GitHub, making it accessible for both technical and non-technical team members.

Features of CTO.ai

CTO.ai offers comprehensive DevOps automation features that make software delivery easier and more measurable. The platform provides real-time CI/CD workflows that integrate with any cloud provider including AWS, GCP, and DigitalOcean. All deployments include automatic DORA metrics collection to track your team's software delivery performance.

Key features include:

  • Developer Control Plane with containerized workflows for any cloud

  • AI Code Review that provides intelligent feedback on pull requests

  • Instant PR Previews without requiring new servers

  • ChatOps integration allowing workflow management from Slack

  • GitOps workflows with automatic deployment triggers

  • DORA metrics tracking for lead time, deployment frequency, and failure rates

  • Infrastructure as Code templates using CDK, CDKTF, or Pulumi

  • Workflow SDKs for popular programming languages

The platform also offers professional services including application modernization, platform engineering consulting, and cloud infrastructure management. Deep integrations with GitHub, Slack, and major cloud providers ensure seamless workflow automation across your entire development lifecycle.

CTO.ai Pricing

CTO.ai offers enterprise-focused pricing designed for development teams and organizations looking to streamline their DevOps processes. The DevOps as a Service plan starts at $3,500 per month when billed annually.

This comprehensive package includes:

  • Intelligent Review, Build & Preview with AI code review and automatic PR previews

  • Software Engineering Insights & Metrics including real-time DORA metrics tracking

  • Continuous Delivery and GitOps flows with custom Infrastructure as Code templates

  • Services and Support with priority commercial support via Slack, email, or Zoom

Additional services like assigned customer success managers, platform setup, and migration services may incur extra costs. The platform is designed for teams who want a fully managed DevOps solution rather than building and maintaining internal infrastructure. Contact their sales team for custom pricing based on your specific requirements and team size.

FAQ's About CTO.ai

What makes CTO.ai different from other DevOps platforms?
CTO.ai provides a fully managed Developer Control Plane that combines CI/CD, ChatOps, GitOps, and AI code review in one platform. Unlike traditional tools, it automatically captures DORA metrics and provides instant PR previews without requiring extensive DevOps expertise.
How much does CTO.ai cost?
CTO.ai's DevOps as a Service starts at $3,500 per month when billed annually. This includes intelligent review and build features, DORA metrics tracking, continuous delivery workflows, and priority support. Contact their sales team for custom pricing.
Can CTO.ai work with my existing cloud provider?
Yes, CTO.ai supports multi-cloud deployments including AWS, Google Cloud, and DigitalOcean. The platform provides Infrastructure as Code templates that work with your preferred cloud provider without vendor lock-in.
Does CTO.ai require extensive DevOps knowledge to use?
No, CTO.ai is designed to simplify DevOps for development teams. The platform provides pre-built workflows, AI-powered automation, and ChatOps integration that makes deployment management accessible through familiar tools like Slack and GitHub.
What are DORA metrics and why are they important?
DORA metrics measure software delivery performance including lead time for changes, deployment frequency, change failure rate, and recovery time. CTO.ai automatically tracks these metrics to help teams identify bottlenecks and improve their development workflow efficiency.

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