Agentic AI Platform on Kubernetes

Motivation

For most organizations the challenge with generative and agentic AI is no longer prototyping but operating it reliably at scale. Initial use cases are delivered quickly, yet each additional application adds complexity. Credentials are duplicated across teams, model consumption cannot be attributed to its source, every agent integrates its own tools, and deployment practices diverge from one project to the next. The result is a growing landscape of ungoverned integrations that security, finance, and platform teams are unable to oversee.

This offering establishes a governed platform in place of that fragmentation. A central AI gateway provides the single point of access to every model, externally managed or self-hosted, and to governed MCP tool servers through the same gateway, ensuring that access control, budgets, and guardrails are enforced centrally rather than per project. New use cases reach production within days, each one governed and observable by default.

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What we bring

PRODYNA brings more than two decades of experience in enterprise software development, cloud native architecture, and Kubernetes operations for various customers across different industries. With this offering we deliver a governed, scalable Agentic AI Platform built on standard enterprise open-source technologies:

• A central Open Source AI Gateway (agentgateway) for unified, OpenAI compatible access to externally managed and self-hosted models — with single sign-on (OIDC/JWT), per group access control (RBAC), upstream credential injection, token budgets, guardrails, and per user/per agent cost attribution
• A governed MCP gateway: the same gateway fronts Model Context Protocol tool servers with shared authentication, per server authorization, and a self- service registry
• A ready to use chat UI (LibreChat) with single sign-on (OIDC)
• Built-in observability with the Grafana stack: Prometheus metrics, Grafana Tempo (optional Langfuse) for distributed LLM & agent tracing, and ready-made dashboards for usage, cost and budgets
• Optional self-hosted LLMs on Kubernetes (vLLM), optionally managed by KServe

What you need

To make the best use of this offer and permit a fast and efficient start, you will need:

• A target environment (public cloud, private cloud, or on-premises) with infrastructure foundations in place
• Availability of your experts (e.g. platform, network, IAM, security)
• A small group of motivated IT colleagues to onboard as early adopters

What you get

PRODYNA will guide you and your employees through the solution creation process in the following phases: