Kubiya | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Kubiya

Name: Kubiya
Price: Contact for pricing USD
Author: Kubiya

Backed By Kubiya

AI agent platform for automating and orchestrating operational workflows.

AI Agents, Governance & Orchestration

Overview

Kubiya is a self-contained agent platform for enterprises, enabling teams to automate complex workflows, manage infrastructure, and orchestrate operations using natural language. It supports integration with existing tools, offers enterprise-grade security, and is ideal for DevOps and operations teams.

Use Cases

Automate DevOps workflows using natural language

Manage infrastructure and orchestrate operations

Automate incident response and resolution

Integrate with tools like Slack and Jira for seamless operations

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Professional

40,000 AEM/month (Yearly commitment required)/month

Full platform access

Enterprise

Custom AEM (Contact Sales)

Everything in Professional

Alternates Research On The Product

Top Features

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Conversational AI Interface (Slack, Teams, Web UI, CLI, API)

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Enterprise-grade AI Orchestration for Engineering/DevOps

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Context Graph and Model Context Protocol (MCP) for real-time context awareness

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Zero-Trust Execution with RBAC/ABAC, OPA Policy-as-Code enforcement

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Full Audit Logging and Governance Controls (Decision traceability, full audit trail)

Strengths

Transforms complex DevOps activities into straightforward, conversational interactions.
Enterprise-grade security with RBAC, SSO, and audit logging.
Deep integration with cloud infrastructure, CI/CD, and observability tools.
Reduces context switching and enhances collaboration.
Self-contained, enterprise-grade framework that supports the full lifecycle of agent development.

Weaknesses

Data risk is mitigated by the self-hosted deployment option, which keeps data behind the organization's firewall, and security features like E2E encryption and PII masking.
Risk of functional limitations in highly advanced or niche customization scenarios.
Dependence on continuous advancements in AI/LLM technology.
Standard support is limited to Business Hours (8:00 AM – 5:00 PM PST) unless the Enterprise plan or an additional 24/7 service level is purchased.
AEM credit burn risk (unused AEMs expire annually).

Reviews From The Web

Real user experiences from across different platforms

Jordan Brennan

Feb 14, 2025

Trustpilot (via tenereteam.com)

Recommendations

Engineering and DevOps teams struggling to move AI agents from PoC to production

agents from PoC to production.

Enterprises with complex, multi-cloud, or on-prem infrastructure that require deterministic, secure automation

infrastructure that require deterministic, secure automation.

Small teams or individuals who only need basic chatbot-style automation without enterprise security requirements

tbot-style automation without enterprise security requirements.

Users looking for a pay-as-you-go model without a yearly commitment

yearly commitment.

Final Verdict

The only enterprise-grade AI platform that orchestrates any LLM inside your infrastructure with context awareness, production reliability, and zero-trust security for engineering and DevOps teams. It reduces the Time-to-Automate Paradox by offloading operational toil to secure, intelligent, auditable agents.

Best For

•Engineering and DevOps teams struggling to move AI agents from PoC to production.
•Enterprises with complex, multi-cloud, or on-prem infrastructure that require deterministic, secure automation.
•Organizations prioritizing Zero-Trust security, fine-grained access control, and full auditability for AI-driven actions.
•Teams looking to reduce context-switching and provide developers with safe, self-serve access to operational workflows.

Watch Out For

•The required yearly commitment may be a dealbreaker for some organizations.
•The reliance on a credit consumption model (AEMs) with an expiration date.
•Data risk is mitigated by the self-hosted deployment option, which keeps data behind the organization's firewall, and security features like E2E encryption and PII masking.
•Risk of functional limitations in highly advanced or niche customization scenarios.

Limited Advanced Customization may require integrating with APIs, Terraform, or existing automation scripts, adding complexity. The effectiveness relies heavily on the advancements in AI technology, which might have limitations in certain scenarios. Requires a yearly commitment for paid plans. Unused AEM (Agent Execution Minutes) expire at the end of the contract term.

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