We don't show up empty-handed. Axon is a batteries-included AI agent platform — auth, workflows, AI gateway, observability, governance, and the MCP integrations to your enterprise systems, all already built. The custom agent that takes a small team three to six months to build from scratch typically ships on Axon in two to four weeks. Start with a targeted POC, prove value, then run the same platform in production. Every dollar of the engagement goes to your business outcome — not foundational plumbing.
AI agents that touch enterprise systems without authorization, audit trails, or human approval flows are an unacceptable risk. Most platforms make this your problem to solve.
Auth, MCP gateways, durable execution, observability, secrets management — the table stakes for production AI. Build it from scratch and you spend a year on plumbing before shipping a single agent.
95% of enterprise AI pilots stall before they ship. The demo works; the production system never gets built because the foundations were never there.
Axon™ ships with all of it already built. Not a Kubernetes platform. Not a model gateway. Not a deck that ends up in a drawer. The agent platform that lets your team ship the AI that moves your P&L — fast, governed, and in your cloud.
Axon™ separates concerns into two distinct planes with a technically enforced trust boundary. We manage the orchestration. You keep the data. The Axon Agent in your cluster polls our control plane — all communication is agent-initiated. No SSH. No kubectl. No shell access. Ever. For technical evaluators, our <a href="/the-signal/composable-agent-runtime-a2a-production/" class="text-neural-gold underline hover:text-neural-gold/80">Composable Agent Runtime on A2A</a> deep-dive walks through the runtime architecture in detail.
Managed by Ultrathink
Never stores customer data, secrets, or config values.
Trust Boundary
Your VPC
Runs in your cloud account. Your data never leaves your infrastructure.
Agent-initiated polling every 60s. Zero inbound access from Ultrathink.
Most vendors put "enterprise security" in a slide deck. We built it into the system architecture. Every security guarantee is technically enforced and contractually backed. For a comprehensive view, see our Security & Trust page.
Your secrets never touch our infrastructure.
Config var values flow directly from your CLI to K8s Secrets in your cluster. Our control plane stores only the variable names — never the values. Even a control plane breach exposes zero customer credentials.
We cannot SSH, kubectl, or shell into your infrastructure.
All communication is initiated by the Axon Agent inside your VPC. There are no open ports, no tunnels, no reverse proxies. The trust boundary is enforced at the network level, not by an access control list we manage.
Block us out anytime. Your workloads keep running.
If you block the Axon Agent's outbound traffic, your applications continue to run normally. You lose management automation, not service availability. This is by design — and it's in the contract.
Not marketing. A legal commitment.
The Axon Cloud Platform Agreement includes a binding no-access warranty. Our SOC 2 audit scope is narrow — only the control plane — because your data plane is yours. We can't access what we can't reach.
AI agents can connect to your enterprise data safely — with authorization, human approval flows, and full auditability at every step.
A single enforcement point for every AI agent tool call. Two-layer authorization, enforced where it belongs: coarse tool-level scope checks at your identity provider (Okta, Entra, Google Workspace) via RFC 8707 audience binding, and fine-grained data access enforced natively by the backing system of record (Snowflake RLS, Dynamics 365 security roles, Tableau row-level filters) reached via RFC 8693 token exchange. Your AI agents operate under the same identity and permission model as your human users — with rate limiting, audit logging, and sensitive field redaction built in.
How MCP Authentication Works in ProductionThe DAPERL pattern: Detection, Analysis, Planning, Execution, Reporting, Learning. AI agents generate a complete execution plan upfront. Your team reviews, modifies, and approves before any action executes. Risk-based routing automatically escalates high-risk actions — from auto-approval for low-risk reads to multi-approver gates for critical operations.
A catalog of enterprise connectors — Google Ads, HubSpot, Snowflake, Apollo, LinkedIn, Looker, and more — each production-hardened with container security, CVE scanning, and authorization headers. Multi-tenant deployment with per-tenant isolation. Connect AI to your enterprise systems without building from scratch.
MCP Authentication in ProductionAxon™ ships with the components every production AI agent needs — model gateway, vector store, agent memory, durable workflows, LLM observability, identity and authorization. The custom agent that takes a small team three to six months to build from scratch typically ships in two to four weeks when assembled from these components. Each is a managed, production-grade service we provision, configure, and operate for you through the Axon control plane. Your team works on what moves the business; we manage everything else.
Relational database via CloudNativePG — automated failover, backup, and per-app provisioning
In-memory cache and message broker for session state and real-time coordination
Vector database for semantic search, RAG applications, and embedding retrieval
Unified API gateway for any LLM provider — OpenAI, Anthropic, Azure, Bedrock — with cost tracking and rate limiting
Columnar analytics database for observability telemetry and business metrics
Durable workflow orchestration for reliable, long-running task execution
LLM observability and evaluation platform — tracing, prompt management, scoring, and cost analytics for every model call
AI agent memory layer for session, user, and cross-channel memory — so agents remember context across interactions
Graph database for knowledge graphs, relationship modeling, and entity resolution
Axon™ follows the Heroku model — declare what your application needs and the platform handles the rest. No Terraform modules to maintain. No Helm charts to debug. No infrastructure tickets to file.
A single manifest file declares your application's infrastructure needs — compute, capabilities, scaling. The platform handles provisioning and lifecycle management.
name: my-ai-app
runtime: python
port: 8000
requires:
- postgres
- redis
- vector-store
- llm-gateway
resources:
memory: 512Mi
cpu: 250m
All runtime configuration lives as K8s Secrets in your cluster. Platform-injected vars handle service discovery automatically — POSTGRES_URL, QDRANT_URL, LITELLM_URL are composed locally by the agent via K8s service discovery. No hardcoded connection strings. No secrets in your codebase.
Deploy, configure, and manage from the command line. Secrets go directly from your terminal to your cluster — the control plane never sees the values. The CLI talks to the Axon Agent, not to us.
Traditional enterprise software bundles everything into a single agreement that takes months to negotiate. Axon™ separates platform, professional services, and managed operations into three independent contracts — so you can start deploying in weeks, not quarters.
Software license and platform subscription. Narrow data processing agreement scoped to control plane telemetry only — because we never access your data. This is the contract your legal team can approve fast.
Typical Duration
Annual subscription
Pathfinder engagements and custom build SOWs. Clear IP ownership — your custom work transfers to you, our platform IP stays with us. Build your first AI application on Axon with our team, or bring your own engineers.
Ongoing Partnership
Per engagement
We operate your Axon environment — monitoring, incident response, upgrades, model evaluation, and continuous optimization. SLAs with service credits and success-based fees tied to your KPIs.
Ongoing Partnership
Ongoing partnership
Progressive tool discovery and the 3 meta-tool architecture for governed AI agent connectivity.
Token exchange, user impersonation, and the authorization pattern for enterprise MCP servers.
Enterprise architecture for AI agents — security hardening, governance layers, and production infrastructure.
You've seen the architecture. You understand the trust model. Now let's prove it — we'll walk you through a live Axon deployment and show you exactly how your first application ships in weeks, not months.