Power Up your Team with an AI Engineering Workforce

Resource constraints aren’t new - but rigid workflows, static self-service, and endless hiring won’t scale. Meet Kubiya Teammates - an AI Engineer, working 24/7 so your team can innovate, not operate.

Kubiya AI Teammates connect in minutes, instantly mapping roles, permissions, and resources -so your AI Engineer operates like a seasoned professional from day one. No setup delays,  no rigid workflows. Work where you work, take action faster, and see impact immediately - no bottlenecks, no ramp up, no busywork, just results.

From self-service requests to troubleshooting, incident response, and automation - Kubiya AI Teammates don’t just surface gaps, they close them. With autonomous execution, they handle end-to-end tasks like a true veteran teammate. No bottlenecks, no hand-holding - just seamless execution so you can focus on what matters.

Manage AI workflows like your cloud - because it’s the only way. No need to change your engineering or DevOps practices; Kubiya’s Teammates integrate seamlessly, running stateless, containerized processes that reuse the same underlying infrastructure you already trust. Use familiar tools like Terraform to manage AI workflows just as you do infrastructure. AI management with Kubiya isn’t a departure from your best practices - it’s an evolution.

Gain full visibility into your AI workforce and engineering efficiency. Kubiya AI Teammates track execution, workload trends, and productivity gains -offering real-time insights into project progress, DORA metrics, and overall impact. See how AI-driven operations accelerate delivery, reduce bottlenecks, and give your team extra hands.

Trusted by world class engineering and operations teams at:

Delegation is the new Automation

Oops Is Not An Operational Strategy

Traditional automation is rigid and blind to real needs. Agents? Unsupervised interns at best. Kubiya flips the script -AI Engineer Teammates act as digital twins of your experts, embedded in Slack, Teams, CLI, and Jira -executing flawlessly, every time

Work Wherever You Work

Your tools are everywhere- your AI Engineer should be too. Kubiya enables instant action within your workflow, no context switching.

Vendor Limitations ≠ Your Problem

Forget vendor quirks. Kubiya’s AI Engineer automates your stack, so you can focus on delivery.

Delegate, Don't Just Automate

More than hype- Kubiya’s AI Engineers go beyond buzzwords, scaling smarter by automating tasks, unlocking true self-service.

Already Invested in Automation?

No need to start over. Kubiya’s AI Engineers supercharge your existing tools - Backstage, Airflow, Jenkins, HashiCorp Cloud Platform, and more -making them interactive, intelligent, and effortless to use. Modernize without disruption and let automation work for you, not the other way around.

Offload undifferentiated heavy-lifting tasks. Focus on what matters most.

Kubiya AI teammates handle recurring and routine tasks using your org’s tools & platforms,
tribal knowledge, and organizational practices. They’ll even document it all in Jira.

Automation that works for you,
not the other way around

Agentic-native capabilities redefine how engineering workflows operate - moving from static automation to dynamic, end-to-end processes that self-optimize and execute autonomously. From time-to-automation to full operational efficiency, this is the new standard for scale and speed.

Features

Traditional Automation

AI Engineer Teammates

User Interaction

Manual navigation & UI-heavy workflows

Conversational, accessible anywhere

Workflow Adaptation

Rigid, requires manual adjustments

Adapts to your existing workflows

Automation

Limited & complex scripting

Simple, natural language automation

Time to Value

Slow onboarding, steep learning curve

Instant access, zero learning curve

Efficiency

Siloed tasks, prone to human errors

Streamlined, intelligent task execution

Scalability

Challenging to scale across teams

Effortlessly scales with your org

Integration

Complex and requires custom development

Plug-and-play with existing tool

Monitoring & Insights

Basic analytics, delayed feedback

Real-time insights and proactive alerts

Security Management

Manual, error-prone processes

Automated policy enforcement

Onboarding Process

Lengthy and requires extensive training

Intuitive, minimal onboarding effort

User Empowerment

Limited self-service capabilities

Empowered teams with full autonomy

LLM-Powered Automation

Basic automation capabilities

Advanced AI-driven automation on-prem

Newfound ROI: The Impact
of an AI Engineer

Measuring the ROI of automation? More headcount doesn’t mean more efficiency. AI Engineer Teammates boost deployment frequency, reduce MTTR, and fully automate processes better suited for machines - cutting operational overhead and turning agentic automation into real, quantifiable business value.

Kubiya In the News

Read what others are saying about how delegation is transforming automation
with AI teammates. Join the movement and be part of the future.

Devops

Supercloud 7 at from theCUBE studios

Amit Eyal Govrin and Shaked Askayo discuss the future of AI and DevOps at the SuperCloud7 Event.
platform engineering

NYSE Floor Talks with Kubiya & A+E Networks

Interview with Amit Eyal Govrin & Neeraj Mendiratta, VP of Platform Engineering at A+E Networks
developer experience

SiliconAngle: The Human Factor in AI

How to personalize the exchange between developers and platform engineers or DevOps
developer self-service

VentureBeat: Enabling Self-Serve DevOps

Kubiya gives developers, DevOps and platform engineers a hand with conversational AI platform
developer self-service -agents
Kubiya Unveils Industry’s First AI ‘Teammate’ for Autonomous Kubernetes Ops
theCube analyst panel
TheCube Analyst Panel -Agentic Native discussion wiht Kubiya Founders
kuberentes crew launch
Kubiya gives developers, DevOps and platform engineers a hand with conversational AI platform
Kubiya fundraise news
Kubiya raises another $6M for AI assistant for DevOps teams
thecube conversaitons
Amit Eyal Govrin & Jesse Robbins | CUBE Conversations
supercloud 7 event
Amit Eyal Govrin and Shaked Askayo discuss the future of AI and DevOps at the SuperCloud7 Event.
NYSE Floor Talks with Kubiya & A+E Networks
Interview with Amit Eyal Govrin & Neeraj Mendiratta, VP of Platform Engineering at A+E Networks
developer experience
How to personalize the exchange between developers and platform engineers or DevOps
VentureBeat: Enabling Self-Serve DevOps
Kubiya gives developers, DevOps and platform engineers a hand with conversational AI platform

Trusted by world class engineering and operations teams at:

FAQs

What’s the difference between Kubiya and a workflow automation?

Traditional automation platforms are static repositories requiring manual navigation and rigid workflows. Kubiya is an agentic-native platform that brings dynamic, conversational interactions to your tools, enabling seamless automation and real-time collaboration.

What if I’ve already invested in an automation platform?

Kubiya integrates into your existing ecosystem - Backstage, Airflow, Jenkins, and more - making your current investments interactive and agentic without disrupting workflows.

How does Kubiya differ from a coding assistant?

While coding assistants focus on improving code creation, Kubiya elevates operations. It enables real-time infrastructure automation, streamlines security, data and engineering workflows, and adapts to your ecosystem seamlessly.

Can I deploy Kubiya on my own infrastructure?

Absolutely. Kubiya supports on-premise deployments, ensuring data sovereignty, security, and compliance with your internal policies.

How does Kubiya improve my team's  productivity?

Kubiya boosts your team’s productivity by automating repetitive tasks, enabling self-service workflows, and reducing incident resolution time, freeing engineers to focus on high-impact work. By integrating seamlessly with your existing tools, optimizing resource utilization, and acting as an on-demand AI teammate, Kubiya helps teams scale efficiently without adding headcount.

What makes Kubiya “agentic-native”?

Kubiya is agentic-native because it goes beyond simple task execution, it reasons, interacts, and adapts dynamically within your workflows. Unlike traditional automation tools that follow rigid scripts, Kubiya’s AI Teammates make context-aware decisions, autonomously handling tasks while staying within trusted guardrails. They engage in two-way interactions, gather relevant data before taking action, and refine their responses based on real-time conditions. This enables true intelligent automation, allowing engineering, security, data and DevOps teams to scale efficiently without micromanaging every process.

Does Kubiya require coding or scripting knowledge to use?

Kubiya is designed to be user-friendly and does not require coding or scripting knowledge to operate. AI Teammates interact through natural language, allowing engineers, developers, and operations teams to trigger workflows, automate tasks, and retrieve insights through Slack, Microsoft Teams, or CLI, without writing scripts. However, for advanced customization, teams can extend Kubiya’s capabilities by integrating with APIs, Terraform, and existing automation scripts if needed.