The AI Control Plane for Production AI
Build Production AI Applications, Not Infrastructure
Run memory, tools, routing, and governance through a single API.
Axion replaces months of building AI infrastructure with a unified execution layer so teams can ship faster, scale reliably, and focus on their product.
Product demo
See Axion in action
Watch how engineering teams build production AI applications without spending months building and maintaining AI infrastructure.
The platform
Three Layers. One AI Stack.
Send one request.
Axion handles routing, memory, tools, and infrastructure behind the scenes, so you can build reliable AI applications without the complexity.
Gateway Engine
Who should answer?
The best model for every request.
Every AI task has different requirements. Axion intelligently routes each request to the optimal model based on your routing policies, balancing quality, latency, capabilities, reliability, and cost without changing your application.
Smart Memory
What should the AI know?
Persistent context for every conversation.
Simply send a user or conversation ID. Axion automatically retrieves conversation history, user preferences, and application memory, injecting the right context into every request without custom RAG, vector databases, or memory infrastructure.
MCP Hub
What can the AI do?
Connect AI to the real world.
Securely connect AI to MCP servers, APIs, databases, and business systems. Axion enables AI to retrieve information, execute actions, and automate workflows through a unified and secure tool orchestration layer.
Gateway Engine
Who should answer?
The best AI model for every request.
Build once and connect every leading AI provider through a single API. Axion intelligently routes each request to the optimal model based on quality, latency, capabilities, reliability, and cost, so you never build or maintain provider-specific infrastructure.
Features
- One API for OpenAI, Anthropic, and more
- Intelligent routing with automatic model selection
- Reliability, guardrails, observability, and cost controls built in
Smart Memory
What should the AI know?
The right context. Automatically.
Give AI persistent memory without building memory infrastructure. Axion retrieves conversation history, user preferences, and connected application data, injecting the right context into every request automatically.
Features
- Persistent memory across users and conversations
- Sync data from Gmail, Outlook, Google Drive, and more
- No RAG pipelines, vector databases, or prompt engineering
MCP Hub
What can the AI do?
Take action beyond the conversation.
Connect AI to MCP servers, APIs, databases, and internal systems through a unified orchestration layer. Axion securely manages tool access so AI can retrieve information, execute actions, and automate real-world workflows.
Features
- Centralized MCP server and tool management
- Policy-based access control and execution
- Secure orchestration across internal and external systems
Smart Memory
AI That Remembers What Matters
Send a user or conversation ID.
Axion automatically retrieves relevant memory, syncs connected data, and enriches every prompt with the right context.
No RAG pipelines. No vector databases. No memory infrastructure.
Features
- Automatic memory updates, deletions, and synchronization
- Zero ingestion pipelines or retrieval infrastructure
- Scoped by organization, application, or customer
Example: remembered preferences
Last week Sarah said she prefers concise answers. Today she asks for a report summary — Axion injects that context automatically.
user_id: user_123
message: "Summarize this report."
Injected context
Sarah prefers concise answers. Last session: Q4 budget review.
→ Concise summary returned
- 1Find previous conversations and memories
- 2Pull relevant context from connected apps
- 3Enrich the prompt automatically
- 4Send to the AI — developer never attaches context manually
MCP Hub
Give AI Access to the Real World
Connect AI to Gmail, calendars, databases, and internal APIs.
Axion orchestrates every tool call with built in policies, permissions, and audit logs, so AI can safely retrieve data, take actions, and automate real workflows.
Integrations
Built for Control and Security
- Centralized management for all tools and MCP servers
- Policy based access control across your organization
- Secure execution with full audit logs
- Fine grained permissions for every tool and action
Example: email summary
The user asks to summarize today's emails. Axion calls Gmail, fetches the inbox, and sends the content to the model.
"Summarize today's emails"
MCP · Gmail — policy approved
12 emails fetched · read-only scope
AI response
You have 3 urgent threads: vendor contract, onboarding feedback, and a billing question…
- 1User asks a question that needs external data
- 2Axion selects the right MCP tool from your registry
- 3Tool runs under policy — access is authorized and audited
- 4Results are sent to the AI, which returns the final answer
Multi-Model Routing
Use the Best Model, Not Just One
Every AI request is different.
Axion routes each request to the right model based on your policies, performance, and cost so you always get the best result.
No vendor lock in. No provider specific SDKs.
Any providers · one endpoint
Supported providers
Hover to highlightSwitch models in one line
Change the model string — same SDK, any provider.
await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{
role: "user",
content: "Hello!",
},
],
});Replace model with any supported model (for example gpt-4o-mini, claude-sonnet-4, gemini-2.0-flash) or use model: "auto" to let Axion choose the best model automatically.
- OpenAI-compatible API
- Official SDKs
- Drop-in baseURL
Intelligent Routing
Stop choosing models. Start defining outcomes.
Set model: "auto" and let Axion make the routing decisions. Using Feature Routing Policies, Axion automatically selects the best provider and model for every request based on your priorities, quality, latency, cost, capabilities, and prompt size.
Optimize for your goal
Prioritize quality, latency, or cost, or pin a specific model when consistency matters.
Match capabilities
Route requests only to models that support vision, tool calling, reasoning, structured outputs, and other required capabilities.
Prefer specific providers
Define provider and model preferences for individual features, environments, or customer workloads.
Adapt to prompt size
Automatically switch models based on input tokens, context windows, and model limits to improve reliability and efficiency.
auto routing · metadata.feature
await openai.chat.completions.create({
model: "auto", // Let Axion choose the best model
messages: [{ role: "user", content: "Summarize this ticket." }],
metadata: {
feature: "support-bot",
env: "production",
},
});model: "auto" lets Axion select the best provider and model using your Feature Routing Policy. The feature tag identifies which routing policy to apply.
Reliability
AI Infrastructure You Don't Have to Worry About
Built for reliability.
Retries, fallbacks, timeouts, circuit breakers, and rate limiting all handled automatically.
Your AI applications stay fast, available, and resilient without extra engineering.
Automatic retries
Recover from transient provider failures automatically.
Intelligent fallbacks
Fail over to healthy models and providers without disrupting users.
Smart timeouts
Prevent slow providers from impacting application performance.
Circuit breakers
Automatically isolate unhealthy providers before failures cascade.
Rate limiting
Protect provider quotas and maintain fair, predictable usage across applications.
Analytics
Know Exactly What's Happening in Production
Full visibility, built in.
Every request is logged with latency, tokens, cost, failures, and metadata. Track performance, understand prompts, monitor providers, and identify optimization opportunities from a single dashboard.
Observability
Spend, reliability, and traffic in one unified view.
Governance & Safety
Govern AI with Confidence
Control AI behavior at every level.
Axion enforces guardrails, moderation, hallucination detection, routing policies, and security controls across every request. Ensure consistent, compliant AI behavior without changing your application code.
Intelligent Routing
Route with model: "auto" — policies pick the best model from metadata and request context.
Prompt Lab
Test Before You Ship
Build and test in one place.
Prototype prompts, compare models, inspect requests and responses, and analyze latency, cost, and routing decisions. Deploy to production with confidence from a single AI engineering workspace.
Build the next generation of AI applications
Be among the first to build on Axion, the AI Control Plane for Production Applications.