Why an AI Agent Framework Is Not Enough for Production
Teams spend weeks choosing between LangChain and CrewAI. Then they spend months stuck trying to get their agent into production. The framework isn't the problem.
The agentic operations runtime — deploy your AI agents across Kubernetes, Cloud Run, or any container runtime, with enterprise-grade authentication and secure access to Gmail, Slack, GitHub, databases, and 140+ MCP tool servers.
How It Works
Docker Image
Auth + RBAC
Tools & Services
140+ MCP Servers
Gmail, Slack, GitHub, DBs & more
Any Cloud Runtime
GKE, Cloud Run, EKS, AKS, Docker
OAuth 2.1 + PKCE
Enterprise-grade security
Minutes to Deploy
From container to production
Everything you need to deploy AI agents to any cloud and connect them securely to 140+ MCP tool servers.
Deploy your containerized AI agents to any runtime environment with a unified deployment pipeline. Whether you're developing locally on Docker Desktop, scaling on Google Cloud Run, or running enterprise workloads on Kubernetes—Biznez handles the complexity.
The Agent Gateway is your central security layer for all MCP communications. Every request from your agents to external tools passes through OAuth 2.1 authentication, RBAC authorization, and audit logging. Connect your agents to Gmail, Slack, GitHub, and 140+ MCP servers with confidence.
Your Agent
JWT Token
Agent Gateway
Validate • RBAC • Audit
MCP Server
Gmail, Slack, GitHub...
Platform Users
Login via web UI, JWT passed to agents
Service Accounts
M2M authentication for automated agents
External Clients
OAuth flow for Claude Desktop, Cursor, etc.
Access the entire Docker Hub MCP ecosystem directly from the platform. Browse, search, and deploy 140+ pre-built MCP servers covering communication, productivity, development tools, databases, and APIs. Each server integrates seamlessly with the Agent Gateway for secure access.
Gmail, Slack, Discord, Teams
GitHub, GitLab, Linear, Jira
Google Drive, Notion, Airtable
PostgreSQL, MongoDB, Redis, Pinecone
Tavily, Brave Search, OpenAPI
AWS, GCP, Kubernetes, Terraform
Manage all your integrations centrally. Configure LLM providers (OpenAI, Anthropic, Gemini, Ollama) at the organization level, and let users authenticate their own OAuth services (Gmail, Drive, Slack) with secure token storage.
+ Usage tracking, cost monitoring, encrypted storage
Built for teams and enterprises. Each organization has isolated workspaces with their own runtimes, agents, connectors, and access controls. Deploy with confidence knowing your data never crosses boundaries.
Organization (Tenant)
Workspace A (Production)
Runtime: GKE • Agents: 3 • MCP: Gmail, Slack
Workspace B (Development)
Runtime: Docker • Agents: 1 • MCP: Gmail (sandbox)
Enterprise-grade operational capabilities included across all plans
Deploy agents for any workflow—each connecting securely to the MCP servers they need.
Agents
Email Digest Bot
MCP Servers
Gmail, Slack
Agents
Deployment Monitor
MCP Servers
GitHub, Kubernetes, Slack
Agents
Ticket Classifier
MCP Servers
Zendesk, Slack, PostgreSQL
Agents
Lead Qualifier
MCP Servers
Gmail, Salesforce, Tavily
Agents
Report Generator
MCP Servers
Google Drive, Notion, PostgreSQL
Agents
PR Reviewer
MCP Servers
GitHub, Linear, Slack
These are just examples. Deploy any agent and connect it to any of the 140+ MCP servers.
A gateway-centric architecture designed for secure, scalable AI agent deployments.
GKE, Cloud Run, EKS, AKS, Docker Desktop, or any Kubernetes cluster
OAuth 2.1 + PKCE, JWT validation, RBAC, and full audit logging
Gmail, Slack, GitHub, databases, APIs, and more—ready to connect
Enterprise-grade infrastructure using battle-tested open-source technologies. Deploy anywhere—cloud, hybrid, or on-premise.
Powerful RAG pipeline included from day one. Describe your data sources in plain language— documents, databases, enterprise systems—and your agents understand context instantly. No complex setup. No infrastructure headaches. Just describe what you need.
Built on a modular architecture—swap LLM providers, cloud platforms, databases, or any component without rewriting code. Choose your stack today, change it tomorrow. No lock-in. No rewrites. Just freedom.
Switch anytime without code changes
Deploy to your preferred cloud
Relational, NoSQL & vector stores
Full observability stack
Containers & serverless
Async communication
From individual developers to enterprise platform teams. Predictable pricing with usage-based expansion as your agent fleet grows.
For individual developers and proof of concepts
For engineering teams running agents in production
All plans include automatic testing before production and freedom to choose any LLM provider. Also available on AWS Marketplace and Azure Marketplace (pay-as-you-go).
Practical perspectives on deploying AI agents in production.
Teams spend weeks choosing between LangChain and CrewAI. Then they spend months stuck trying to get their agent into production. The framework isn't the problem.
88% of organisations reported a confirmed or suspected AI agent security incident in the past year. Here's what's going wrong and how to fix it.
78% of enterprises are piloting AI agents. Only 14% have made it to production. Here's why the gap exists and how to close it.