Kubiya provides AI teammates that automate routine tasks within existing tools and platforms, enabling organizations to streamline operations and reduce the time required for task resolution from weeks to minutes. By leveraging natural language processing, Kubiya allows teams to delegate work through simple conversational interfaces, enhancing productivity and minimizing backlog in systems like Jira.
Funding
$12M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Founders
Product
Problem
DevOps and platform engineering teams face challenges in managing growing backlogs of repetitive tasks and support requests, leading to bottlenecks and delays in resolving critical issues. Existing self-service platforms often require specialized knowledge and scripting skills, hindering developer independence and increasing the burden on operations teams.
Solution
Kubiya provides AI teammates that integrate with existing DevOps tools and platforms, enabling teams to delegate routine tasks through natural language interfaces. By leveraging conversational AI, Kubiya automates processes such as ticket resolution, cloud permission management, infrastructure provisioning, and incident response. The platform allows users to interact with their infrastructure using simple chat commands, converting natural language into operational workflows. Kubiya's AI teammates learn from user interactions and organizational practices, continuously improving their ability to handle complex requests and provide predictable outcomes. This approach reduces the time required for task resolution, accelerates service level agreements, and enhances overall team productivity.
Target Audience
Kubiya is designed for DevOps engineers, platform engineers, and SREs who are responsible for managing infrastructure, automating workflows, and supporting development teams.
Features
- Natural language interface for task delegation and automation
- Integration with popular DevOps tools such as Jira, Slack, and Terraform
- AI-driven ticket queue management, including reviewing, resolving, and updating tickets
- Just-in-time (JIT) cloud permission management with AI-driven access control and budget enforcement
- Automated infrastructure provisioning with JIT access, budget enforcement, and TTL management
- AI-powered help desk support that leverages existing knowledge sources and processes
- Real-time incident detection, triage, and resolution with automated communication loops
- Multi-organization entity recognition for understanding user intent and abstracting necessary context
- Customizable policies for security and compliance enforcement