AI MIDDLEWARE · ENTERPRISE CONTROL LAYER
Enterprise AI middleware for models, agents and tools.
Put one customer-owned control layer between your applications and every LLM, MCP server and agent. Standardise identity, policy, routing, cost, observability and evidence without replacing the integration stack you already have.
Or email sales@kosmoy.com.
AI middleware is an architecture, not just a proxy. It sits between applications and AI models, and between agents and the enterprise tools and data they use. Gartner published Innovation Insight: AI Middleware on May 1, 2026, describing a layer that spans concerns such as observability and auditing, security and cost control, agent development, performance, data management, AI operations and interface mediation.
Kosmoy covers the control and operations side of that layer. One OpenAI-compatible gateway mediates LLM traffic and native MCP/A2A calls; registries establish what exists and who owns it; guardrails, identity and budgets constrain every call; observability and FinOps explain what happened; governance and evaluation turn runtime evidence into decisions; Action Capsules can contain autonomous execution. The entire platform runs single-tenant in your Kubernetes, including air-gapped environments.
Kosmoy does not pretend to replace an iPaaS. Workato, MuleSoft and Boomi go much deeper on application connectors, transformations and workflow automation, while platforms such as TrueFoundry go deeper on model serving. Kosmoy is the independent layer for enterprises that need to govern the AI estate across those systems without handing the control boundary to a model vendor, hyperscaler or integration platform.
What it does.
Interface mediation
One policy path for LLM, MCP and A2A traffic, with provider abstraction, routing, failover and rate controls.
Security + cost control
Workload identity, RBAC, key vaulting, PII and prompt-injection guardrails, hard budgets and per-team limits enforced in path.
AI inventory
Systems, models, MCP servers and agents registered with owners, use cases and risk tiers — including assets discovered outside the gateway.
Observability + FinOps
Request, tool and agent telemetry attributed by team, application, model and use case, with spend and performance visible from the same event stream.
Governance + evidence
Approvals, risk state and runtime evidence feed EU AI Act, ISO 42001-aligned and NIST AI RMF workflows instead of living in a separate spreadsheet.
Evaluation + containment
Test model and agent behaviour, wire the result back to runtime policy, and place higher-risk execution in Action Capsules with constrained egress and kill switches.
Module questions, answered straight.
What is AI middleware?
AI middleware is the architectural software layer between enterprise applications and agents on one side and AI models, tools, APIs and data on the other. It standardises communication and can add identity, security, cost control, observability, orchestration and AI operations. Gartner published Innovation Insight: AI Middleware on May 1, 2026, signalling the category's growing importance.
Is AI middleware the same as an AI gateway?
No. An AI gateway is normally one runtime enforcement point inside an AI middleware architecture: it brokers LLM, MCP or A2A traffic and applies routing, budgets, access policy and guardrails. AI middleware is broader and may also include integration, agent orchestration, registries, data preparation, monitoring and operations.
Does Kosmoy replace Workato, MuleSoft or Boomi?
No. Kosmoy is not an iPaaS and does not try to replace their application connectors, data transformations or business-process automation. Kosmoy concentrates on the independent AI control layer: inventory, LLM/MCP/A2A policy, observability and FinOps, compliance evidence, evaluation and autonomous-agent containment.
What part of AI middleware does Kosmoy cover?
Kosmoy covers the control and operations side of AI middleware: interface mediation through its AI Gateway, identity and guardrails, budgets and cost attribution, AI inventory, monitoring, governance evidence, evaluation and runtime containment. It complements specialist data-preparation, enterprise-integration and deep agent-development platforms.
Why run AI middleware in Kubernetes?
The middleware layer sees sensitive prompts, identities, credentials, tool calls and audit data. Running the control plane single-tenant in the enterprise's own Kubernetes keeps that policy and telemetry boundary under customer infrastructure control, supports private models and can enable air-gapped deployments.
What changes in application code when using Kosmoy?
For LLM applications, often only the base URL: Kosmoy exposes an OpenAI-compatible API. MCP and A2A traffic use their native protocols through the same policy layer. Existing iPaaS and API integrations can remain in place behind the governed tool boundary.
Enterprise proof
Built for environments where AI cannot become another unmanaged SaaS silo.
Kosmoy works with regulated and operationally critical organizations, including Banca d’Italia and Leonardo.
- Runs in your Kubernetes
- Azure · AWS · GCP · on-prem
- LLM · MCP · A2A
- No mandatory vendor-hosted control plane
Design the AI control boundary before the stack hardens.
Bring your current gateways, iPaaS, model providers and agent platforms. We will map what should stay, what should be governed, and where the middleware control plane belongs.
Or email sales@kosmoy.com.