Kosmoy
UnclaimedKosmoy 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.
What we offer
Kosmoy AI Management Platform
Empowers organizations to govern and manage all AI assets seamlessly.
kosmoy.com →AI Observability
Gain visibility into every AI action with comprehensive monitoring and traceability.
kosmoy.com →AI Agent Management
Manage AI agents across multiple platforms with consolidated governance and containment.
kosmoy.com →AI Evaluation & Red Teaming
Optimize AI reliability and security through comprehensive evaluation and red teaming.
kosmoy.com →Kosmoy Chat
Facilitates secure interactions across multiple AI agents for efficient communication.
kosmoy.com →Key Vault
Securely manage AI integration credentials with centralized access and compliance logging.
kosmoy.com →LLM Gateway
Access multiple LLM providers seamlessly while maintaining enterprise-level governance.
kosmoy.com →MCP Gateway
Streamlines MCP server interactions with unified policy enforcement and visibility.
kosmoy.com →A2A Gateway
Govern agent-to-agent traffic efficiently across various A2A runtimes, ensuring robust policy enforcement.
kosmoy.com →Market segments
Market size by segment
Growth potential (CAGR)
AI governance
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
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
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
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
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 ControlsThe governance gateway offers a single point to manage all AI calls, enforcing role-based access control and guardrails to ensure compliance.
- Enables Cross-Platform InventoryThe registries provide a comprehensive inventory of agents and MCP servers, ensuring visibility and management across different AI platforms.
- Contains Autonomous AgentsThe Action Capsule feature allows for the safe operation of autonomous agents within controlled environments, minimizing risks.
- Tracks AI Usage CostsThe platform provides detailed insights into AI usage, directing budgets and cost effectiveness across operations.
- Tracks AI SystemsThis registry details all AI systems used within the organization, classifying them by ownership and risk levels for better governance.
- Enables Comprehensive MonitoringOffers detailed tracing of AI activities and policy decisions, ensuring transparency and adherence to governance.
- Tests AI ReliabilityEngages in structured evaluations and red teaming to ensure AI systems are robust and reliable against threats.
- Ensures Regulatory ComplianceThe platform aids compliance with key regulations and is specifically designed to deploy in customer-controlled environments.
- Manages AI ModelsKeeps 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 AuthEnsures only authorized users can make AI calls, enhancing security and compliance.
- Centralizes Policy EnforcementSimplifies compliance and governance by providing a single point to enforce rules across all AI interactions.
- Routes Each Call AppropriatelyDirects 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 BudgetsControls costs associated with AI use by setting budget limits and tracking expenditures, preventing financial overruns.
- Reduces Latency and CostsSelects the most appropriate model for each request, balancing cost and performance to enhance overall efficiency.
- Enables Comprehensive AuditingRecords 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 ActionsEvery 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 DecisionsAI Observability showcases the criteria and rationale behind guardrail decisions, ensuring that all operational actions comply with established policies.
- Track Costs In Real-TimeAI 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 OperationsThe results from AI evaluations are contextualized with operational data, allowing for comprehensive understanding and adjustment of AI behavior according to performance metrics.
- Monitor User InteractionsFeedback 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 LimitsBudgets are set for applications and teams, ensuring immediate action at the gateway when spending exceeds predefined limits.
- Detailed Cost TrackingEvery AI call is tracked for its associated costs, giving visibility into spend at a granular level for effective management.
- Control Agent SpendingImmediately halts agents that enter a consumption loop, containing runaway costs before they escalate.
- Gain Actionable InsightsReal-time dashboards provide detailed breakdowns of AI spending across teams and projects, allowing for informed decision-making.
- Optimize Model UsageAI 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 ComplianceSystematically classify AI systems according to risk, aligning your operations with EU regulations for enhanced governance.
- Streamline Agent OversightMaintain a comprehensive view of every agent in your organization, ensuring compliance with approved use cases and reducing the risk of shadow AI.
- Centralize AI InventoryAchieve transparency by tracking all AI systems, ensuring responsible use aligned with business objectives and regulatory needs.
- Streamline Governance ProcessesMaintain an efficient workflow for governing AI systems throughout their lifecycle, supporting auditability and accountability.
- Manage Resource AccessControl and document access to MCP servers, enhancing security and operational efficiency.
- Track Model VersionsFacilitate 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 AgentUtilizes a unified registry to manage all agents in an organization, ensuring compliance and oversight.
- Integrates With Multiple PlatformsEnables the management of agents from various platforms like Azure, AWS, and GCP seamlessly.
- Enforces Security PoliciesApplies guardrails, routing, and logging to keep AI interactions secure and manageable.
- Contains High-Autonomy AgentsProvides a containment layer ensuring agents can operate safely within controlled environments.
- Centralized Agent InventoryOffers 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 DimensionsThe platform features 20 evaluators that assess various aspects of AI tasks, ensuring robust evaluations that highlight strengths and weaknesses.
- Evaluates LLMs and AgentsFacilitates comprehensive assessments of both language models and agents, enabling organizations to align performance with business objectives.
- Enhances Security ResilienceEngages in proactive adversarial testing to identify vulnerabilities and improve system robustness with generated datasets.
- Facilitates Continuous ImprovementAllows for rigorous testing both in controlled environments and in real-time applications, effectively monitoring model performance post-deployment.
- Supports AccountabilityFacilitates adherence to regulatory standards, providing necessary documentation for audits and compliance assessments.
- Enables Immediate AdjustmentsAllows 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 CommunicationKosmoy Chat allows users to interact effortlessly with different AI agents, ensuring a cohesive user experience.
- Ensures Safe InteractionsThis feature ensures that all conversations comply with governance standards, fostering trust and security in AI interactions.
- Facilitates Regulatory ComplianceWith built-in compliance tracking, Kosmoy Chat helps organizations maintain adherence to regulations and internal policies, enhancing oversight.
- Enhances User EngagementThe 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 CodeEasily create intelligent agents through a user-friendly interface that eliminates the need for programming skills, enabling faster deployment of automation solutions.
- Seamlessly Govern AI AgentsConnect agent operations with Kosmoy's end-to-end governance, ensuring every agent's actions comply with corporate policies and regulatory standards.
- Deploy Workflows Across PlatformsUtilize 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 ManagementBy consolidating all AI provider credentials into a single vault, Key Vault simplifies management and enhances security, reducing the risk of mismanagement.
- Enables Compliance ChecksKey Vault tracks and logs access to credentials, ensuring compliance with auditing requirements and internal governance.
- Protects Sensitive InformationKey Vault ensures that only authorized users can access sensitive AI credentials, safeguarding them against unauthorized access.
- Enhances AI FunctionalityKey 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 ProvidersUtilize a single OpenAI-compatible API to connect to various LLM providers, simplifying integration and operational overhead.
- Integrate With Existing Tools EasilyMost 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 SovereigntyPrompts, responses, and data logs never leave the customer's infrastructure, ensuring privacy and compliance with data residency requirements.
- Ensure Compliance and SecurityAll API interactions are recorded and monitored, enabling robust security protocols and compliance with industry regulations.
- Simplify Budget ManagementOrganizations 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 AccessDefine specific access for applications and agents to interact only with approved MCP servers, enhancing security and governance.
- Enforces Tool Access ControlControls which tools can be invoked on each MCP server and logs all interactions, providing complete transparency.
- Restricts Unauthenticated AccessEvery API call to MCP servers must be authenticated, preventing unauthorized access.
- Captures Call EventsRecords every interaction with detailed logs including actor, server, and outcome for accountability.
- Streamlines Internal TrafficEnsures 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 CommunicationEstablishes secure and monitored pathways for internal and external agents to communicate, enhancing operational efficiency.
- Facilitates Integration Across PlatformsSeamlessly integrates agent communications with various compliant runtimes, promoting flexibility and reducing barriers to functionality.
- Enhances Security Through Identity VerificationEnsures all agents involved in communication are authenticated, significantly increasing the security of inter-agent interactions.
- Restricts Agent InteractionsEnforces security by ensuring agents can only interact with pre-approved peers, minimizing risk and exposure to vulnerabilities.
- Maintains Comprehensive Interaction RecordsProvides 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.
- valued at USD 2.94 billion in 2025 and is estimated at USD 3.86 billion in 2026
- The global AI Observability Market was valued at USD 1.25 billion in 2025; estimated USD 1.78 billion in 2026, CAGR 22.8%
- Market Size (2025) USD 0.55 Billion; Growth Rate (2025 - 2030) 30.10%
- market for AI observability platforms has already reached $2.69 billion, on pace for $9.26 billion by 2030 at a 36.2% CAGR
- increase from $1.08 billion in 2025 to $1.23 billion in 2026, representing a CAGR of 14.2%
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 ~$1.5B for AI FinOps and cost-management software/tools today. Growth potential (CAGR ~30%) reflects rapid adoption of AI/LLM workloads (increasing token/API spend), enterprises investing in cost-control tooling, and the nascency of AI-specific FinOps — producing materially higher growth than legacy cloud-management tooling.
- Kosmoy
- Kosmoy AI Management Platform
- AI Gateway
- AI Observability
- AI FinOps
- AI Inventory
- AI Agent Management
- AI Evaluation & Red Teaming
- Kosmoy Chat
- Agent Builder
- Key Vault
- LLM Gateway
- MCP Gateway
- A2A Gateway
- projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, registering a remarkable CAGR of 45.3%
- USD 1.52 billion in 2025; projected to USD 5.38 billion by 2035, CAGR 13.48% (2026–2035)
- US$ 6.43 billion in 2025; expected to reach US$ 28.54 billion by 2035, CAGR 16.2% (2026-2035)
- AI In Warehouse Management Market Size | CAGR of 39.0%
- Poor inventory decisions cost businesses around $1.1 trillion globally every year
- valued at USD 2.94 billion in 2025 and is estimated at USD 3.86 billion in 2026
- The global AI Observability Market was valued at USD 1.25 billion in 2025; estimated USD 1.78 billion in 2026, CAGR 22.8%
- Market Size (2025) USD 0.55 Billion; Growth Rate (2025 - 2030) 30.10%
- market for AI observability platforms has already reached $2.69 billion, on pace for $9.26 billion by 2030 at a 36.2% CAGR
- increase from $1.08 billion in 2025 to $1.23 billion in 2026, representing a CAGR of 14.2%
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