Our take: Kosmoy provides enterprise-grade AI governance and control across LLMs, MCP servers, and autonomous agents, deployed as self-hosted infrastructure in your Kubernetes to manage AI spend and enforce policy without vendor lock-in.
Main limitation: No public prices; custom proposals only; requires Kubernetes infrastructure
By the AI Tool Atlas editors.
Based on the vendor's official documentation; we have not tested this product hands-on. What “documented overview” means
Who should use Kosmoy
Kosmoy provides enterprise-grade AI governance and control across LLMs, MCP servers, and autonomous agents, deployed as self-hosted infrastructure in your Kubernetes to manage AI spend and enforce policy without vendor lock-in. Based on the vendor's documentation, not on a hands-on test.
Best for: Regulated enterprises
Also a good fit for
CIO and platform teams
AI governance teams
Consider another tool if no public prices; custom proposals only
Or if
Requires a demo/sales process
Aimed at enterprises, not individuals
Requires Kubernetes infrastructure
Kosmoy pricing and usage limits
Prices checked Oct 1, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.
Vendor pricing page re-checked automatically 11 days ago: no changes detected.
The official Kosmoy pricing page as we saw it. kosmoy.com, captured Oct 1, 2026
Proposal scope includes control layers, workload scope, deployment, and support
For: Large enterprises with complex AI governance needs
Limits
Customizable per proposal
All four control layers available (Inventory, Observability, Gateway, Action Control)
Includes
AI Inventory across all systems
Observability with policy tracing
4 more
AI Gateway for LLM/MCP/A2A calls
Action Capsule for agent sandboxing
FinOps and cost tracking
Enterprise SLA and support
API included
Usage caps, credits and extra costs
Implementation, integrations, and external consumption are separated from platform fee
What is Kosmoy, and how does it work?
Kosmoy is an enterprise platform for inventorying, monitoring, governing and controlling AI use, including LLM calls, MCP servers and AI agents. Its AI gateway enforces guardrails, routing, RBAC and logging at one policy point.
It is deployed in the customer's own Kubernetes on Azure, AWS, GCP or on-premises and aims at regulated enterprises. Pricing is scoped per proposal based on layers, workloads, deployment and support.
Kosmoy's official site: how the product presents itself. kosmoy.com, captured Oct 1, 2026
What you provide and what you get back
What you give Kosmoy and what comes back, from its documentation
You provide
LLM calls from applications
MCP server requests
Agent execution events
Policy and governance rules
You get back
Governed LLM routing and responses
Audit logs and policy decisions
Cost tracking and FinOps reporting
Agent execution traces and observability
Where you can use it
Platforms
Web, API
Account
Required
Self-hosted Kubernetes; Azure, AWS, GCP, or on-premises
Catalog all AI use cases, models, agents, teams, and integrations
Monitor calls, usage, costs, feedback, and evals with policy tracing
One policy point for LLMs, MCP servers, and agent-to-agent communication
Kubernetes sandboxes (Action Capsules) for autonomous agent containment
Control layers, workload scope, deployment, implementation, and support defined per proposal
Where Kosmoy is most useful
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Discovering shadow AI usage across an enterprise
Who
CIOs and AI governance teams
You provide
Connected systems and applications using AI
Expected result
Complete inventory of AI models, MCP servers, and agents in use across the enterprise
Plan needed
Starting with AI Inventory layer; custom proposal required
Feature overview on the official site. kosmoy.com, captured Oct 1, 2026
AI gateway for LLMs, MCP servers and A2A agents
Single policy point for all AI calls across LLMs, MCP servers and agent-to-agent communication Enforces guardrails, RBAC, routing, and logging in one place rather than per-application
Access: Kubernetes-native deployment; applications route through gatewayLimit: All AI calls must be configured to route through the gatewaysource (opens in a new tab)
AI agent registry
Catalogs all agents in use with risk tier, owner, and approved actions Gives governance teams visibility into autonomous agents and who controls them
Access: Kosmoy Studio dashboard and APILimit: Requires agents to be registered; discovery is not automaticsource (opens in a new tab)
Observability with policy decisions in traces
Records every AI call, policy decision, and routing decision with full traceability Enables auditing, compliance verification, and debugging of AI governance
Access: Traces dashboard and exportable audit logsLimit: Trace storage depends on log retention policy in custom proposalsource (opens in a new tab)
AI FinOps metering
Tracks consumption, cost, and token usage per model provider, team, and project Teams see AI spend in real time and can be alerted when approaching budgets
Access: FinOps dashboard; API for billing integrationLimit: Requires active integration with model provider APIssource (opens in a new tab)
Kosmoy pros and cons
Reasons to choose Kosmoy
Self-hosted in customer Kubernetes Data stays within customer infrastructure; no data residency concernsdocumentedsource (opens in a new tab)
Runs on Azure, AWS, GCP or on-premises Enterprises can deploy in their preferred cloud without re-architectingdocumentedsource (opens in a new tab)
No model lock-in per vendor Can freely switch between model providers without Kosmoy re-deploymentdocumentedsource (opens in a new tab)
Public documentation site Teams can self-serve learning and reference before contractdocumentedsource (opens in a new tab)
Check before paying for Kosmoy
No public prices; custom proposals only Cannot determine cost without lengthy sales engagementdocumentedsource (opens in a new tab)
Aimed at enterprises, not individuals Not suitable for solo developers or small teamsdocumentedsource (opens in a new tab)
Requires Kubernetes infrastructure Organizations without K8s must provision and manage itdocumentedsource (opens in a new tab)
How to use Kosmoy for deploying Kosmoy for enterprise AI governance
Kosmoy documentation: where the steps below come from. docs.kosmoy.com, captured Oct 1, 2026
Set up Kosmoy
Contact Kosmoy sales ([email protected] or Book a demo) to describe your AI estate and governance needs
Kosmoy discovers your AI systems, stakeholders, and control requirements
Technical deep-dive session to review architecture, integrations, security, and operating model
Proof-of-concept deployment to validate the platform against your workloads
Example: deploying Kosmoy for enterprise AI governance
Define which control layers you need: Inventory (catalog all AI use), Observability (monitor calls), Gateway (enforce policy), or Action Control (sandbox agents)
Map your applications, models, agents, and teams into the governance model
Deploy Kosmoy into your Kubernetes cluster (Azure, AWS, GCP, or on-premises)
Configure connectors for your model providers (OpenAI, Anthropic, etc.) and identity system (Okta, Entra, etc.)
Review and export the result
Verify Kosmoy is tracking your LLM calls in the dashboard with policy decisions visible in traces
Confirm FinOps dashboard is showing cost data from your model providers
Test a guardrail rule to ensure it blocks or routes AI calls as expected
Kosmoy integrations and API
Kosmoy documentation (continued). docs.kosmoy.com, captured Oct 1, 2026
Native integrations and export formats
Export: Audit logs (CSV, JSON), FinOps reports
API access and separate billing
Kosmoy has no public API in its official documentation. REST API for governance queries, tracing, and policy configuration API documentation ↗
Privacy, data use and commercial rights
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
How your inputs and outputs are handled
AI calls, policy decisions, and tracing data stored in customer Kubernetes cluster
Not used for model training per enterprise contract
Configurable per proposal
Commercial use and plan restrictions
Data remains customer's property; Kosmoy does not use for competitive advantage
Privacy terms defined in custom Data Processing Addendum
Controls for business users
Kubernetes-native data isolation
Customer-managed encryption keys
Audit logging for compliance verification
Other tools to consider instead of Kosmoy
"Better suited" is based on documented features and pricing, not on a head-to-head test.
Microsoft Copilot: better suited to enterprise AI assistant (limited governance)
n8n: better suited to workflow automation platform with AI
Model provider consumption (OpenAI, Anthropic, etc.) and hyperscaler costs (Azure, AWS, GCP) remain under customer's existing contracts. Kosmoy pricing covers only the platform and implementation; external consumption is kept separate and visible. source (opens in a new tab)
Can I start with just one control layer and add others later?
Yes. Different use cases can sit at different control depths. You can begin with Inventory and Observability, then add Gateway enforcement for production, then Action Capsules for agent containment. The rollout can follow your organizational readiness. source (opens in a new tab)
Does Kosmoy support on-premises or isolated (air-gapped) deployment?
Yes. Kosmoy supports Azure, AWS, GCP, on-premises, and air-gapped Kubernetes environments. The proposal states which environments are included and any additional implementation or support requirements. source (opens in a new tab)
What is an Action Capsule?
An Action Capsule is a Kubernetes-native sandbox that wraps any autonomous agent (OpenClaw, NemoClaw, custom agents) with pre-flight authorization, execution leases, just-in-time credentials, and a kill switch. It contains agent risk within your infrastructure. source (opens in a new tab)
Does Kosmoy prevent model lock-in?
Yes. Kosmoy is model-agnostic and routes calls through its policy gateway to any model provider. You can freely switch providers without changing your Kosmoy deployment. source (opens in a new tab)
Not verified: Exact pricing (requires proposal); Privacy policy details (404); Trial duration and scope; Typical implementation timeline; Minimum contract term.
How we documented and maintain this page
Every fact about Kosmoy above comes from the 3 official pages listed here, last compared on Oct 1, 2026; we have not run Kosmoy ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Oct 1, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error
