Launching soonAxion

AI Infrastructure Platform

Axion

The AI Control Plane for Production Applications

Build production AI applications through a single API. Connect AI providers, memory, and MCP tools while Axion intelligently routes requests, manages context, and orchestrates everything behind the scenes.

Watch the Demo

Product demo

See Axion in action

Watch how one control plane routes models, injects memory, and orchestrates tools — end to end.

demo.axion.dev

The platform

Three layers One AI stack

Your app sends one request. Axion intelligently selects the best AI model, injects the right context, and orchestrates MCP tools through a single control plane.

Gateway Engine

Who should answer?

Every task deserves the right AI model.

Axion intelligently routes every request to the best model based on your routing policies, whether it's GPT for writing, Claude for coding, or another provider.

Smart Memory

What should the AI know?

AI is only as good as its context.

Axion automatically injects conversation history, user preferences, and application memory into every request, no repeated prompts required.

MCP Hub

What can the AI do?

AI should do more than generate text.

Axion securely connects AI to MCP tools, allowing it to retrieve data, call APIs, and complete real-world tasks.

01

Gateway Engine

Who should answer?

Connect OpenAI, Anthropic, and other AI providers through a single API. Axion intelligently selects the best model for every request, so your application never manages provider-specific integrations.

Features

  • BYOK with OpenAI & Anthropic through one SDK
  • Intelligent routing with model: "auto"
  • Reliability, guardrails, and full observability built in
Explore
02

Smart Memory

What should the AI know?

Axion automatically injects the right context into every request using conversation history, user preferences, and connected application data, without manual prompt engineering or retrieval pipelines.

Features

  • Automatically manage and sync memory
  • Gmail, Outlook, and Google Drive connectors
  • No ingestion pipelines or vector database setup
Explore
03

MCP Hub

What can the AI access or do?

Register MCP tools once, and Axion securely orchestrates access to APIs, databases, internal systems, and third-party services on every request.

Features

  • Centralized MCP server registry
  • Policy-based tool access and execution
  • Works with your existing gateway credentials
Explore

Smart Memory

Context that stays current automatically

Enable Smart Memory and send a user or conversation ID. Axion automatically retrieves relevant memories, syncs connected app data, and enriches every prompt without custom RAG, vector databases, or ingestion pipelines.

GmailOutlookGoogle Drive+ more connectors

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.

POST /chat

user_id: user_123

message: "Summarize this report."

Injected context

Sarah prefers concise answers. Last session: Q4 budget review.

→ Concise summary returned

  1. 1Find previous conversations and memories
  2. 2Pull relevant context from connected apps
  3. 3Enrich the prompt automatically
  4. 4Send to the AI — developer never attaches context manually

MCP Hub

Connect AI to the tools it needs

Register MCP servers once. Axion securely orchestrates tool calls to Gmail, calendars, databases, internal APIs, and more with policy-based access and complete audit logs built in.

GmailGoogle CalendarSlackInternal APIs

Features

  • Centralized MCP server registry
  • Policy-based tool access for every organization
  • Use your existing gateway credentials

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…

  1. 1User asks a question that needs external data
  2. 2Axion selects the right MCP tool from your registry
  3. 3Tool runs under policy — access is authorized and audited
  4. 4Results are sent to the AI, which returns the final answer

Multi Model routing

Any model One endpoint

Connect proprietary and open-source AI models through a single OpenAI-compatible API. Axion intelligently routes every request, No SDK rewrites, No vendor lock-in.

Your app
SDK
Axion
Axion

Any providers · one endpoint

Supported providers

Switch models in one line

Change the model string — same SDK, any provider.

chat/completionsresponsesmodel: "auto"
typescript
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

Let Axion pick the right model

Set model: "auto" and tag requests with metadata.feature. Axion's Feature Routing Policies automatically select the best provider and model for every request based on your requirements.

Pinned model & goal

Lock a model or optimize for cost, latency, or quality.

Required capabilities

Route only to models that support vision, tools, etc.

Preferred providers

Prioritize specific providers or models for each feature.

Input token routing

Automatically choose models based on prompt size and token limits.

auto routing · metadata.feature

typescript
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

Built for production reliability

Every request is protected with automatic retries, intelligent fallbacks, timeouts, circuit breakers, and rate limiting built into the gateway, not your application.

Retry

Automatic retries on transient provider errors.

Fallback

Fail over to alternate models when primary fails.

Timeout

Configurable per-request timeouts at the edge.

Circuit breaker

Stop hammering unhealthy providers automatically.

Rate limits

Protect upstream quotas and enforce fair usage.

Analytics

Production observability, built in

Every AI request is automatically tracked with logs, latency, failures, metadata, and cost. Built-in analytics reveal prompt performance, spending trends, failure patterns, and optimization opportunities all from a single dashboard.

app.axion.dev/analytics

Observability

Spend, reliability, and traffic in one unified view.

Last 7 days
env=productionfeature=support-botcustomer_user_id=usr_8f2k…
Total cost

$1,284

Last 7 days

Requests

48.2k

+12% vs prior

Error rate

0.3%

Within SLO

P95 latency

840ms

Across providers

Request volume

48.2k total · +12% vs prior period

+12%
MonTueWedThuFriSatSun

Health snapshot

Across all providers

Success rate99.7%
Cache hits18%
Active features12
Latency & failure trackingAI cost insights & failure clustersPrompt-level analyticsFull request logsBudgets & anomaly alerts

Governance & Safety

Control AI behavior in production

Enforce intelligent routing, guardrails, and hallucination detection through centralized gateway policies without changing your application code.

app.axion.dev/governance

Intelligent Routing

Route with model: "auto" — policies pick the best model from metadata and request context.

  • Pinned model, goal, and required capabilities
  • Preferred providers and models
  • Input token routing
model: "auto"
env=productionfeature=support-bot

Active policies

8

Routed today

12.4k

Fallback rate

0.4%

Routing policy

Matched on metadata.feature

if feature = support-bot

goal: cost

cap: 8,000 input tokens

required: tool_call

prefer: gpt-4o-mini, claude-haiku

Routing decision

Returned on every gateway response

Matched
Selected modelgpt-4o-mini
ProviderOpenAI
Rulesupport-bot · cost
ReasonLowest cost within token cap

Prompt Lab

Test before you ship

Experiment with prompts, compare models side by side, inspect every request and response, and choose the best model all without leaving the dashboard.

Launching soon

Build the next generation of AI applications

Be among the first to build on Axion, the AI Control Plane for Production Applications.

Watch the Demo