Self-service AI Deployment Platform

Your AI,
deployed.

Build a Mac — pick your chip, memory, and AI stack. Deploy in 5 minutes. Run it 24/7 on isolated infrastructure. Full control, fixed price per period.

≤5 minto first token
OpenAI-APIdrop-in compatible
24/7always on

Built for teams building the future on Apple Silicon

Indie Devs
AI Labs
iOS Studios
Enterprise
Research

Build any AI workload

Pre-configured stacks for the most popular AI workloads. Build a Mac, pick a stack, deploy in minutes.

🧠

Local LLM Deployments

Run Llama 3.3, Qwen, Mistral, DeepSeek with an OpenAI-compatible API. Zero config.

Llama · Qwen · Mistral · DeepSeek

Build this
🤖

Agent Hosting

OpenClaw, AutoGPT, CrewAI, LangGraph — pre-configured and running 24/7.

OpenClaw · AutoGPT · CrewAI · LangGraph

Build this
💻

AI Development Environment

MLX, Core ML, Jupyter, VSCode Server — everything ready in 5 minutes.

MLX · Core ML · Jupyter · VSCode

Build this

Up and running in 3 steps

From zero to a production AI endpoint in under 5 minutes.

01

Build

Build a Mac in the constructor. Pick your chip, memory, SSD, and AI stack — or start with a clean macOS.

02

Deploy

One click. Dedicated Apple Silicon provisioned and configured in 5 minutes or less.

03

Use

OpenAI-compatible API, SSH, or web IDE. Your AI, running 24/7 on isolated hardware.

Use Cases

Built for every AI workload

Deploy autonomous agents on your own Mac

Build a Mac and install an agent stack — OpenClaw, AutoGPT, CrewAI, or LangGraph — in minutes. Your agent runs 24/7 on dedicated hardware with a local LLM backend, no cold starts, no idle timeouts.

One-click stacks
Pre-configured agent frameworks in the constructor
Local LLM backend
Ollama running alongside your agent — no external API needed
Always-on, always private
24/7 uptime on isolated hardware
Build an agent Mac →

Why we built on Apple Silicon

We don't sell Macs. We sell deployed AI. But the choice of hardware shapes what we can offer — and here's why it matters.

Unified memory, no hard ceiling

128 GB per node, and Thunderbolt 5 clustering lets you pool memory across devices. Run 70B on one node or 400B+ across a cluster.

Energy efficiency

Lower cost per inference means we charge a fixed monthly price without usage caps.

MLX and Core ML

Apple’s own ML stack, optimized for this silicon. First-class citizens in our catalog.

Privacy by architecture

One physical machine per customer. Your data never shares hardware with anyone else.

Developer Experience

Drop-in OpenAI replacement

Change the base_url. That's it. Your existing OpenAI code works with Macyou deployments without modification.

macyou-api
Python — OpenAI SDK (drop-in)
from openai import OpenAI

client = OpenAI(
    api_key="mcy_live_abc123...",
    base_url="https://dep-abc123.macyou.cloud/v1"
)

response = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True
)
for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")
Node.js — OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "mcy_live_abc123...",
  baseURL: "https://dep-abc123.macyou.cloud/v1",
});

const completion = await client.chat.completions.create({
  model: "llama-3.3-70b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);
cURL — streaming
curl https://dep-abc123.macyou.cloud/v1/chat/completions \
  -H "Authorization: Bearer mcy_live_abc123..." \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.3-70b","stream":true,
       "messages":[{"role":"user","content":"Hello!"}]}'
Enterprise

Need more than self-serve?

Enterprise plans include unlimited deployments, custom SLA, and a dedicated ML engineer. No public pricing — we build a plan around your requirements.

Compliance roadmap
SOC 2 planned (independent audit not yet started); HIPAA BAA not yet available — contact [email protected]
Dedicated ML Engineer
Named support, 1h response SLA, deployment assistance
Custom Deployments
Full catalog access + custom provisioning and configuration
99.9% SLA
Documented uptime commitment with dedicated infrastructure

Talk to our Solutions team

Get a custom quote for your team's needs.

FAQ

Frequently asked questions

In the “Build a Mac” constructor you pick a chip (M4, M4 Pro, M4 Max, M3 Ultra), memory and SSD, then add a pre-configured stack: Local LLM deployments (Llama, Qwen, Mistral, DeepSeek), Agent Hosting (OpenClaw, AutoGPT, CrewAI, LangGraph), AI Development Environments (MLX + Jupyter, Core ML, VSCode Server), Multi-Model Orchestration (LiteLLM), or a clean Apple Silicon machine. Most builds deploy in 5 minutes or less.

With Macyou, the model runs locally on dedicated Apple Silicon hardware that only you can access — we don’t send your data to OpenAI or any third party. Your deployment exposes an API that uses the same format as OpenAI (same endpoints, same request/response structure), so existing code works with just a base_url change. But behind that API is your own Ollama or llama.cpp instance running on bare metal, not a call to OpenAI’s servers. Fixed monthly price, no per-token fees, full data privacy.

No. We don’t use OpenAI’s services at all. “OpenAI-compatible” means your Macyou deployment exposes the same API format (/v1/chat/completions, /v1/models, etc.) that OpenAI popularized. Behind it runs your own local model (Llama, Mistral, Qwen, etc.) on your dedicated Apple Silicon hardware. This means any code that works with the OpenAI SDK can switch to Macyou by changing two lines: the base URL and the API key. No data ever goes to OpenAI.

Your data runs on a physically dedicated machine — not shared infrastructure. All data at rest is encrypted with full disk encryption. Network traffic is encrypted via TLS. Each machine has its own firewall. Full disk wipe is performed between tenants. Our data center is in a GDPR-friendly jurisdiction.

From clicking “Deploy” to a working endpoint: 5 minutes or less for most builds. This includes provisioning dedicated Apple Silicon hardware, installing the software stack, and returning your endpoint URL and API key. For the largest frontier models, provisioning may take up to 15 minutes.

Yes. Every deployment gives you SSH access to your dedicated machine. Custom deployments also include VNC and a web terminal. You have full root access — install anything you want alongside the pre-configured stack.

It depends on the chip and memory you pick. An M4 mini (16–32 GB) runs up to ~14B parameter models like Llama 3.1 8B. M4 Pro (24–64 GB) handles up to 70B quantized. M4 Max (36–128 GB) runs 70B at full precision and 120B+ frontier models. M3 Ultra (96–256 GB) keeps the largest open models entirely in unified memory. Need more? Scale RAM by clustering multiple devices via Thunderbolt 5.

Mac Minis can be linked via Thunderbolt 5 (120 Gbps) to pool unified memory across nodes. For example, two 64 GB nodes give you 128 GB effective memory, four nodes give you 256 GB. This lets you run frontier models that exceed a single device’s RAM. A cluster's price scales with the number of nodes (each node at its own chip rate). M5 chips will bring even higher inter-node bandwidth.

Fixed price per machine, per billing period — no per-token, per-request, or per-hour fees. Choose monthly or annual (annual saves 20%). Payment is in crypto: USDT on the TRON network (TRC-20), invoiced per period — no credit/debit cards or wire transfer. Every machine includes the OpenAI-compatible API, browser desktop, SSH and support. No setup fees.

Yes. Monthly machines run until the end of the current paid period and you keep full access until that date. Annual billing runs for the committed term. Adding another machine starts its own period (no proration). See our Refund Policy for refund eligibility — refunds are issued only if we fail to provision a machine or if you are charged in error.

Yes. Our infrastructure is designed for regulated industries: physically isolated hardware, GDPR-friendly jurisdiction, HIPAA-ready architecture, and SOC 2 planned (independent audit not yet started). See our solutions pages for healthcare, legal, and finance for details on what we provide today and what’s coming.

SSH and the API work on almost any connection. For Browser Desktop (the interactive remote screen) we recommend 25 Mbps down / 5 Mbps up with wired Ethernet or 5 GHz Wi-Fi; 10 Mbps is the practical minimum. Stability matters more than speed — the stream adapts its bitrate automatically, so low latency and low packet loss beat raw bandwidth. See Network Requirements in our docs for details.

Your AI,
deployed in 5 minutes.

Build a Mac, pick your chip and memory, and get a production AI endpoint on dedicated Apple Silicon. Fixed price per period, no per-token fees.

No card needed — pay in USDTCancel anytimeDeploy in 5 min