CTO.ai logo

CTO.ai

by CTO.ai · Since 2017
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ActiveAvailable globallyCloud
Quick facts
VendorCTO.ai
Year launched2017
StatusActive
LocationVancouver, BC V6B 2R9, CA
Countries servedGlobal
Languages11
Integrations3+
Free tier
Free trial
Contact sales

About CTO.ai

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CTO.ai is a comprehensive DevOps-as-a-Service platform designed to simplify and accelerate the software delivery lifecycle. It combines automation, DORA metrics, and container workflows into a Slack-native and GitOps-enabled system. By offering an internal developer platform approach, [CTO.ai](http://CTO.ai) abstracts the complexity of cloud infrastructure, enabling teams to focus on building and delivering software rather than managing deployment pipelines. Its core value lies in reducing operational overhead, speeding up delivery cycles, and providing data-driven insights into engineering performance. One of the standout aspects of [CTO.ai](http://CTO.ai) is its deep integration with Slack and GitHub. Developers can execute commands, manage pipelines, and deploy services directly within Slack, enabling a collaborative, conversational approach to DevOps. The GitHub integration allows the platform to automatically track change cycle events, trigger workflows, and even create instant preview environments for pull requests. Combined with open-source Infrastructure-as-Code templates for AWS, GCP, and DigitalOcean, [CTO.ai](http://CTO.ai) empowers teams to deploy quickly while maintaining best practices and cloud compatibility. The platform is highly customizable through its “Workflow as Code” philosophy. Using SDKs for Python, Node.

Pros & Cons

What users like
  • +Slack and GitHub native integration for streamlined workflows
  • +Fully managed DevOps platform for faster deployment
  • +Extensive customization through workflow-as-code
  • +Automatic DORA metric tracking
  • +Strong Infrastructure-as-Code support
What users flag
  • Higher starting price may not suit small teams
  • Heavy reliance on Slack for workflow execution
  • Learning curve for workflow SDKs
  • Limited built-in analytics customization compared to BI tools
  • Requires organizational buy-in for platform adoption

Features

Key features

DevOps-as-a-Service – Fully managed DevOps workflows to deploy to any cloud with minimal setup.
Slack-Native Workflows – Run and manage pipelines directly from Slack to integrate communication with execution.
DORA Metrics Tracking – Automatically measures lead time, deployment frequency, failure rate, and recovery time.
Platform Engineering – Abstracts infrastructure complexity while enabling custom developer platforms.
Workflow as Code – Build fully customizable automation workflows in Python, Node.js, Bash, or Go.
Instant PR Previews – Automatically generate deployment previews for GitHub pull requests.
Infrastructure Templates – Use open-source IaC templates for rapid setup on multiple cloud platforms.

Additional features

Commands – Create conversational CLIs to integrate ChatOps and GitOps.
Pipelines – Manage builds, testing, and release workflows in real time.
Services – Provide instant preview environments without new server setups.
100% Serverless – Run code without managing infrastructure.
Customizable & Pluggable – Adapt workflows to fit specific cloud and toolchain needs.
Automatic Versioning – Version every workflow component for rollback and recovery.
CD/CI Automation – Build and push containers automatically to custom cloud environments.
Data-Driven Insights – Use delivery metrics for informed DevOps decision-making.
Event-Driven Workflows – Automate actions based on event triggers.
Custom SDK Support – Build workflows using Python, Node.js, Bash, and Golang SDKs.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Monthly plans

Starts At

USD 3,500

Countries & Languages

Global
Countries served
11
Interface languages
6
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussianChineseJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇦CAD🇦🇺AUD

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