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Kosmoy

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Enterprise AISoftwarekosmoy.comMilan, ItalyUpdated

Kosmoy is an AI management platform that inventories, monitors, governs, and contains AI in regulated enterprises from a single control plane.

Overview

Kosmoy is an enterprise AI management platform and control plane designed for regulated industries. It provides a single, Kubernetes-native platform to inventory, monitor, govern, and contain all AI assets across the organization, including models, tools, and autonomous software agents. The platform emphasizes governance and risk management, delivering a unified policy layer that enforces access control, guardrails, budgets, and auditing across the organization's AI estate. It supports end-to-end lifecycle management from discovery and monitoring to evaluation, containment, and evidence collection, enabling compliance with major standards and regulations. It runs in the customer's own infrastructure, allowing deployment in private clouds or on-premises. The audience includes risk, security, IT, engineering and data science leaders who need visibility, control and cost transparency as AI systems proliferate. Core capabilities include inventory of AI use cases and components, centralized governance with policy and RBAC, monitoring and evaluation with testing and red-teaming, and runtime containment through sandboxing. The platform emphasizes vendor-agnostic integration and cross-provider compatibility, enabling governance across public and private AI deployments while maintaining enterprise-grade data governance, security, and compliance. By providing a single control plane across these functions, Kosmoy aims to reduce fragmentation, improve auditability, and accelerate responsible AI adoption in complex organizations.

Mission statement

Kosmoy is an enterprise AI management platform and control plane for regulated enterprises, offering AI governance, monitoring, agent management, and runtime containment in a customer's own Kubernetes infrastructure.

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What we offer

Kosmoy AI Management Platform

Empowers organizations to govern and manage all AI assets seamlessly.

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AI Gateway

Centralizes governance for AI calls across LLM, MCP, and A2A traffic.

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AI Observability

Gain visibility into every AI action with comprehensive monitoring and traceability.

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AI FinOps

Control AI costs with real-time attribution and budget enforcement.

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AI Inventory

Comprehensively manage and govern all AI assets within your enterprise.

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AI Agent Management

Manage AI agents across multiple platforms with consolidated governance and containment.

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AI Evaluation & Red Teaming

Optimize AI reliability and security through comprehensive evaluation and red teaming.

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Kosmoy Chat

Facilitates secure interactions across multiple AI agents for efficient communication.

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Agent Builder

Rapidly Create and Deploy Intelligent Agents Without Coding.

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Key Vault

Securely manage AI integration credentials with centralized access and compliance logging.

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LLM Gateway

Access multiple LLM providers seamlessly while maintaining enterprise-level governance.

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MCP Gateway

Streamlines MCP server interactions with unified policy enforcement and visibility.

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A2A Gateway

Govern agent-to-agent traffic efficiently across various A2A runtimes, ensuring robust policy enforcement.

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Market segments

Market size by segment

Growth potential (CAGR)

AI governance

0.89 Billion USD45.3% CAGR

Capabilities that enforce policy, access controls, and comprehensive logging to enable safe, auditable enterprise use of generative and other AI systems.

Products: AI Gateway, LLM Gateway, MCP Gateway, A2A Gateway, Key Vault, Kosmoy AI Management Platform

AI Inventory and Lifecycle Management

3.5 Billion USD35% CAGR

Centralized asset cataloging, metadata tracking, and lifecycle workflows that provide a single source of truth for models, use cases, and ownership for governance and reporting.

Products: AI Inventory, Kosmoy AI Management Platform, AI Agent Management, Agent Builder

AI observability and evaluation

3 Billion USD30% CAGR

Real-time tracing, monitoring, evaluation and red‑teaming capabilities that surface behavior, guardrail decisions, evaluation results, and evidence for compliance and model quality.

Products: AI Observability, AI Evaluation & Red Teaming, Kosmoy AI Management Platform

Autonomous agent governance

1.2 Billion USD25% CAGR

Capabilities to discover, permission, and enforce real-time guardrails for autonomous AI agents across environments, including agent discovery, granular read/write/execute permissions, prompt injection mitigation, and data protection in agentic workflows.

Products: AI Agent Management, A2A Gateway, Agent Builder, Kosmoy AI Management Platform

AI FinOps and cost management

1.5 Billion USD30% CAGR

Token usage and spend visibility with near real-time attribution across providers, users, IDEs, and projects to monitor, allocate, and control model spend.

Products: AI FinOps, AI Gateway, LLM Gateway, Kosmoy AI Management Platform

More information about our offering

Kosmoy AI Management Platform

Kosmoy AI Management Platform is an enterprise‑grade control plane that inventories, monitors, governs, and contains all AI assets across the organization. Deployed in the customer’s Kubernetes cluster, it provides a unified view of AI systems, models, agents, and MCP servers, plus governance, guardrails, cost visibility, and audit-ready evidence. The platform supports end-to-end AI lifecycle management from discovery to containment with a single policy layer across providers and runtimes.

  • Centralizes AI Call Controls
    The governance gateway offers a single point to manage all AI calls, enforcing role-based access control and guardrails to ensure compliance.
  • Enables Cross-Platform Inventory
    The registries provide a comprehensive inventory of agents and MCP servers, ensuring visibility and management across different AI platforms.
  • Contains Autonomous Agents
    The Action Capsule feature allows for the safe operation of autonomous agents within controlled environments, minimizing risks.
  • Tracks AI Usage Costs
    The platform provides detailed insights into AI usage, directing budgets and cost effectiveness across operations.
  • Tracks AI Systems
    This registry details all AI systems used within the organization, classifying them by ownership and risk levels for better governance.
  • Enables Comprehensive Monitoring
    Offers detailed tracing of AI activities and policy decisions, ensuring transparency and adherence to governance.
  • Tests AI Reliability
    Engages in structured evaluations and red teaming to ensure AI systems are robust and reliable against threats.
  • Ensures Regulatory Compliance
    The platform aids compliance with key regulations and is specifically designed to deploy in customer-controlled environments.
  • Manages AI Models
    Keeps track of AI models, including versions and assigned teams, facilitating effective management and collaboration.

AI Gateway

AI Gateway is the policy point for every AI call, governing LLM, MCP, and A2A traffic. It enforces authentication, guardrails, budgets, logging, and routing, providing a single enterprise-wide control plane. The gateway includes specialized lanes for LLM, MCP, and A2A traffic to ensure consistent policy application.

  • Secures Access With Auth
    Ensures only authorized users can make AI calls, enhancing security and compliance.
  • Centralizes Policy Enforcement
    Simplifies compliance and governance by providing a single point to enforce rules across all AI interactions.
  • Routes Each Call Appropriately
    Directs AI calls through the appropriate channels, ensuring each type of traffic (LLM, MCP, A2A) adheres to its specific security and operational policies.
  • Limits Expenditures With Budgets
    Controls costs associated with AI use by setting budget limits and tracking expenditures, preventing financial overruns.
  • Reduces Latency and Costs
    Selects the most appropriate model for each request, balancing cost and performance to enhance overall efficiency.
  • Enables Comprehensive Auditing
    Records details of every interaction for transparency and regulatory compliance, making auditing straightforward.

AI Observability

AI Observability provides real-time traces and evidence across providers and runtimes, capturing tool calls, agent hops, guardrail decisions, latency, and cost, with evaluation results to illuminate AI system behavior.

  • Capture Full AI Actions
    Every step of the AI process is recorded, providing clear visibility into how decisions are made and actions executed, which is essential for debugging and auditing.
  • Understand Guardrail Decisions
    AI Observability showcases the criteria and rationale behind guardrail decisions, ensuring that all operational actions comply with established policies.
  • Track Costs In Real-Time
    AI Observability offers detailed insights into expenditures tied to each AI operation, helping organizations manage their budgets proactively and optimize resource allocation.
  • Link Evaluations to Real Operations
    The results from AI evaluations are contextualized with operational data, allowing for comprehensive understanding and adjustment of AI behavior according to performance metrics.
  • Monitor User Interactions
    Feedback from users is aggregated to enhance AI performance and usage, providing critical insights into system effectiveness and areas for improvement.

AI FinOps

AI FinOps provides cost control for AI: per-call attribution by provider, model, app, team, user, and agent; budgets that warn and hard-block at the gateway; and cross-project cost visibility.

  • Enforce Spending Limits
    Budgets are set for applications and teams, ensuring immediate action at the gateway when spending exceeds predefined limits.
  • Detailed Cost Tracking
    Every AI call is tracked for its associated costs, giving visibility into spend at a granular level for effective management.
  • Control Agent Spending
    Immediately halts agents that enter a consumption loop, containing runaway costs before they escalate.
  • Gain Actionable Insights
    Real-time dashboards provide detailed breakdowns of AI spending across teams and projects, allowing for informed decision-making.
  • Optimize Model Usage
    AI FinOps routes requests to the appropriate model based on cost-effectiveness, ensuring savings are maximized without compromising performance.

AI Inventory

AI Inventory provides AI registries: AI Systems Registry, Model Registry, Agents Master Registry, and MCP Server Registry, plus risk classification and use-case governance, delivering a single source of truth for the AI estate.

  • Ensure Regulatory Compliance
    Systematically classify AI systems according to risk, aligning your operations with EU regulations for enhanced governance.
  • Streamline Agent Oversight
    Maintain a comprehensive view of every agent in your organization, ensuring compliance with approved use cases and reducing the risk of shadow AI.
  • Centralize AI Inventory
    Achieve transparency by tracking all AI systems, ensuring responsible use aligned with business objectives and regulatory needs.
  • Streamline Governance Processes
    Maintain an efficient workflow for governing AI systems throughout their lifecycle, supporting auditability and accountability.
  • Manage Resource Access
    Control and document access to MCP servers, enhancing security and operational efficiency.
  • Track Model Versions
    Facilitate effective model management through complete visibility of models, their versions, and associated teams.

AI Agent Management

AI Agent Management provides a cross-layer view to register, observe, govern, and contain every AI agent, on any platform.

  • Monitors Every Agent
    Utilizes a unified registry to manage all agents in an organization, ensuring compliance and oversight.
  • Integrates With Multiple Platforms
    Enables the management of agents from various platforms like Azure, AWS, and GCP seamlessly.
  • Enforces Security Policies
    Applies guardrails, routing, and logging to keep AI interactions secure and manageable.
  • Contains High-Autonomy Agents
    Provides a containment layer ensuring agents can operate safely within controlled environments.
  • Centralized Agent Inventory
    Offers a single source of truth about all agents, facilitating governance and compliance.

AI Evaluation & Red Teaming

AI Evaluation & Red Teaming is the hub for AI evaluation and observability, including 20 evaluators across dimensions, offline and online assessment, LLM and agent evaluation, red teaming and adversarial dataset generation.

  • Scores Quality Across Dimensions
    The platform features 20 evaluators that assess various aspects of AI tasks, ensuring robust evaluations that highlight strengths and weaknesses.
  • Evaluates LLMs and Agents
    Facilitates comprehensive assessments of both language models and agents, enabling organizations to align performance with business objectives.
  • Enhances Security Resilience
    Engages in proactive adversarial testing to identify vulnerabilities and improve system robustness with generated datasets.
  • Facilitates Continuous Improvement
    Allows for rigorous testing both in controlled environments and in real-time applications, effectively monitoring model performance post-deployment.
  • Supports Accountability
    Facilitates adherence to regulatory standards, providing necessary documentation for audits and compliance assessments.
  • Enables Immediate Adjustments
    Allows teams to make informed decisions and quick adjustments based on user feedback during the evaluation process.

Kosmoy Chat

Kosmoy Chat is the governed chat front-end across all approved AI agents, enabling safe and controlled conversation workflows.

  • Enables Seamless Communication
    Kosmoy Chat allows users to interact effortlessly with different AI agents, ensuring a cohesive user experience.
  • Ensures Safe Interactions
    This feature ensures that all conversations comply with governance standards, fostering trust and security in AI interactions.
  • Facilitates Regulatory Compliance
    With built-in compliance tracking, Kosmoy Chat helps organizations maintain adherence to regulations and internal policies, enhancing oversight.
  • Enhances User Engagement
    The streamlined interface promotes efficient communication, encouraging user interaction and satisfaction.

Agent Builder

Agent Builder is a no-code AI agent builder that enables rapid creation and deployment of agent workflows, allowing users to quickly assemble intelligent agents without coding experience.

  • Build Agents Without Code
    Easily create intelligent agents through a user-friendly interface that eliminates the need for programming skills, enabling faster deployment of automation solutions.
  • Seamlessly Govern AI Agents
    Connect agent operations with Kosmoy's end-to-end governance, ensuring every agent's actions comply with corporate policies and regulatory standards.
  • Deploy Workflows Across Platforms
    Utilize a unified interface to implement and manage agent workflows in real-time, ensuring efficient cross-platform functionality and compliance.

Key Vault

Key Vault centralizes credentials for every AI provider and integration, enabling secure and auditable access to tools and models.

  • Simplifies Credential Management
    By consolidating all AI provider credentials into a single vault, Key Vault simplifies management and enhances security, reducing the risk of mismanagement.
  • Enables Compliance Checks
    Key Vault tracks and logs access to credentials, ensuring compliance with auditing requirements and internal governance.
  • Protects Sensitive Information
    Key Vault ensures that only authorized users can access sensitive AI credentials, safeguarding them against unauthorized access.
  • Enhances AI Functionality
    Key Vault integrates with various AI platforms and tools, facilitating seamless credential management across diverse applications.

LLM Gateway

LLM Gateway provides multi-provider model access through a single OpenAI-compatible API, enabling usage of OpenAI, Anthropic, Google, Mistral, Meta, Hugging Face, Azure, and AWS. The gateway runs within the customer's own Kubernetes, ensuring that prompts, responses, logs, and credentials remain secure and do not transit a vendor-hosted control plane.

  • Streamline Access Across Providers
    Utilize a single OpenAI-compatible API to connect to various LLM providers, simplifying integration and operational overhead.
  • Integrate With Existing Tools Easily
    Most applications can transition to using Kosmoy's LLM Gateway with a simple change of the base URL, allowing for quick deployment and minimal code adjustments.
  • Maintain Data Sovereignty
    Prompts, responses, and data logs never leave the customer's infrastructure, ensuring privacy and compliance with data residency requirements.
  • Ensure Compliance and Security
    All API interactions are recorded and monitored, enabling robust security protocols and compliance with industry regulations.
  • Simplify Budget Management
    Organizations can set spending limits and routing preferences to optimize AI usage costs across various models and providers.

MCP Gateway

MCP Gateway provides a single policy point for every MCP server call, including per-server allow-lists, per-tool scope, auth, RBAC, and audit.

  • Restricts Server Access
    Define specific access for applications and agents to interact only with approved MCP servers, enhancing security and governance.
  • Enforces Tool Access Control
    Controls which tools can be invoked on each MCP server and logs all interactions, providing complete transparency.
  • Restricts Unauthenticated Access
    Every API call to MCP servers must be authenticated, preventing unauthorized access.
  • Captures Call Events
    Records every interaction with detailed logs including actor, server, and outcome for accountability.
  • Streamlines Internal Traffic
    Ensures that all internal MCP servers operating within Action Capsules route through the Gateway for consistent policy enforcement.

A2A Gateway

A2A Agents Gateway governs agent-to-agent traffic across Kosmoy-Capsuled agents, including integration with Azure AI Foundry, AWS Bedrock, and any A2A-compliant runtime.

  • Ensures Controlled A2A Communication
    Establishes secure and monitored pathways for internal and external agents to communicate, enhancing operational efficiency.
  • Facilitates Integration Across Platforms
    Seamlessly integrates agent communications with various compliant runtimes, promoting flexibility and reducing barriers to functionality.
  • Enhances Security Through Identity Verification
    Ensures all agents involved in communication are authenticated, significantly increasing the security of inter-agent interactions.
  • Restricts Agent Interactions
    Enforces security by ensuring agents can only interact with pre-approved peers, minimizing risk and exposure to vulnerabilities.
  • Maintains Comprehensive Interaction Records
    Provides thorough documentation of all agent interactions, facilitating compliance checks and auditing processes.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance

Primary estimate uses a dedicated AI governance market report (MarketsandMarkets) that defines AI governance narrowly and projects growth from USD 0.89B (2024) to USD 5.78B (2029) at 45.3% CAGR. Broader adjacent markets provide context: AI model risk management (larger, US$6.43B in 2025; 16.2% CAGR) and AI maturity assessment (US$1.52B in 2025; 13.48% CAGR), indicating overlap but different scopes.

AI Inventory and Lifecycle Management

Estimate uses explicit 39% CAGR for AI in warehouse management (proxy for inventory AI) and the $1.1T annual cost of poor inventory decisions as market opportunity; combined with industry knowledge that AI inventory/lifecycle is an emerging subset of broader SCM and warehouse AI markets, leading to a current market estimate of ~3.5B and high growth potential (~35% CAGR).

AI observability and evaluation

Search results report 2025–2026 market estimates ranging from ~$0.55B (agentic submarket) to $3.86B (broader AI observability) with CAGRs reported between ~22.8% and 36%. I synthesize these sources by weighting broader-market studies (Next Move, Research & Markets, Meticulous) and fast-growing agentic/LLM observability subsegments to estimate a 2026 market size of about $3.0B and an indicative growth potential near 30% CAGR, driven by generative/agent adoption, regulatory monitoring requirements, and consolidation of observability+guardrails capabilities.

Autonomous agent governance

No search results contained market-size or CAGR data for "autonomous agent governance." I estimated using internal market-knowledge and analogies to adjacent markets (AI governance, model risk/security, and emerging agent platforms). Assumptions: autonomous-agent governance is a niche early-stage segment of broader AI governance/security spending — roughly several percent of enterprise AI governance budgets today — driven by rapid adoption of agentic workflows, regulatory and compliance pressure, and rising demand for runtime guardrails (discovery, permissions, prompt‑injection mitigation, data protection). Using a conservative allocation of enterprise AI governance spend to agent governance yields a market around $0.8–1.5B today; I selected $1.2B as a mid‑point. Growth potential (CAGR ~25%) reflects fast adoption, new compliance requirements, and continued investment by security and MLOps vendors, producing high double‑digit growth in the next 3–5 years.

AI FinOps and cost management

Search results provided no explicit market-size or CAGR figures for “AI FinOps and cost management.” I estimated size using internal market hierarchy knowledge: global public cloud services spend (~$600B+ in recent years) and the observation that specialized FinOps/cloud-cost-management tooling typically represents a small fraction of cloud spend (roughly 0.2–0.3%). Applying a 0.25% penetration of total cloud spend yields ~$1.5B for AI FinOps and cost-management software/tools today. Growth potential (CAGR ~30%) reflects rapid adoption of AI/LLM workloads (increasing token/API spend), enterprises investing in cost-control tooling, and the nascency of AI-specific FinOps — producing materially higher growth than legacy cloud-management tooling.

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