AI Developer Workstation  ·  Kickstarter Pre-Launch

Stop Configuring.
Start Building.

The first plug-and-play AI developer workstation. Pre-loaded with Claude Code, Ollama, Docker, n8n, ComfyUI and 540+ agents. Plug in. Ship code.

✓ You're on the list. We'll notify you when we launch on Kickstarter.

No spam. Early bird pricing for waitlist members only.

5 min
Unbox to code
540+
AI agents pre-loaded
3
Tiers — Cloud to Ultra
70B+
Models on Ultra (local)
The Problem

8 hours of your
life, gone.

Every time a developer sets up a new AI workflow, they run the same painful gauntlet. Install this. Configure that. Fight with CUDA drivers. Download the model. Start over.

  • 📦 Install Ollama and pull 5 models individually ~45 min
  • 🐋 Configure Docker + container networking ~60 min
  • ⚙️ Set up VS Code extensions + workspace settings ~30 min
  • 🔗 Wire n8n workflows + configure credentials ~90 min
  • 🎨 Install ComfyUI + custom nodes + models ~60 min
  • 🤖 Install Claude Code + configure MCP servers ~45 min
  • 🔥 CUDA driver conflict. Start over. +3 hrs
THE OLD WAY — 8+ hours
$ curl -fsSL https://ollama.com/install.sh | sh
$ ollama pull llama3.3:70b
pulling manifest... 3% ████░░░░░░░
$ docker compose up -d
Error: nvidia driver not found
CUDA_ERROR_NO_DEVICE (100)
# 4 hours later...
$ sudo apt-get install cuda-toolkit-12-3
E: Unable to locate package
► 3:47 AM. Still not running.
THE OVYNT WAY — 5 minutes
# Step 1: Plug in power & ethernet
# Step 2: Power on
✓ Ollama running — 5 models loaded
✓ Docker ready — n8n, ComfyUI active
✓ Claude Code configured
✓ VS Code workspace open
✓ 540 agents deployed
# Step 3:
claude "Build me a REST API"
► You're shipping code in 5 minutes.
The Solution

OVYNT ships ready.

We obsess over configuration so you never have to. Every OVYNT device is pre-built, pre-tested, and pre-loaded before it leaves the warehouse.

Step 01 📦

Unbox

Remove from box. Connect power and ethernet. Everything else is already done — OS installed, models downloaded, services configured.

● 2 minutes
Step 02 ⚡

Power On

Boot up. All services start automatically. Ollama, Docker, n8n, ComfyUI, Claude Code — running before your coffee is ready.

● 90 seconds
Step 03 🚀

Ship Code

Open your browser, connect to the local dashboard. 540+ agents ready. Full AI stack running locally. Start your first project immediately.

● Right now
Choose Your Tier

One stack. Three forms.

Whether you want cloud access from anywhere, a physical mini PC on your desk, or a full local 70B+ model beast — OVYNT has a tier for you.

☁️
OVYNT Cloud
Cloud VM
Full AI stack in the cloud. Access from anywhere.
$49/mo
Up to $199/mo for higher compute tiers
  • Pre-configured cloud VM
  • Ollama + 5 models (7B–13B)
  • n8n, ComfyUI, VS Code Server
  • Claude Code + 540+ agents
  • Browser-based dashboard
  • Pay monthly, cancel anytime
Get Early Access →
Most Popular
🖥️
OVYNT Station
Mini PC
Physical AMD Ryzen mini PC. Pre-loaded and ready.
$999
Up to $1,999 for 32GB/2TB config
  • AMD Ryzen 9 — up to 32 cores
  • 16GB–32GB DDR5 RAM
  • 1TB–2TB NVMe SSD
  • Ollama + 5 models pre-downloaded
  • Full AI stack pre-installed
  • Ubuntu / Windows / Dual-boot
  • Ships in 5-minute-ready state
🖥️ OVYNT Station Render Product photo coming soon
Reserve a Station →
Beast Mode
⚡
OVYNT Ultra
Workstation
Full local 70B+ models. No cloud needed. Ever.
$2,999
Up to $5,999 for full RTX 4090 config
  • Intel Core i9 / AMD Threadripper
  • 64GB–128GB DDR5 ECC RAM
  • RTX 4080/4090 GPU — 16–24GB VRAM
  • 4TB–8TB NVMe storage
  • Llama 3.3 70B running locally
  • All Cloud + Station software
  • Air-gapped mode available
⚡ OVYNT Ultra Render Product photo coming soon
Reserve an Ultra →
What's Pre-Loaded

Everything. Already configured.

540+ AI agents and the complete developer AI stack — all tuned, connected, and ready before you touch it.

🤖
Claude Code
Anthropic's AI coding agent. Configured with MCP servers and custom instructions out of the box.
540+ agents installed
🦙
Ollama
Local model runner pre-loaded with 5 models. No downloads, no waiting. Runs offline.
5 models ready
🐋
Docker
Container runtime fully configured. Compose files, networking, and volumes — all set up.
Pre-configured
🔗
n8n
Workflow automation running as a service. Connect any API, trigger any agent, automate anything.
200+ integrations
🎨
ComfyUI
Local image generation with custom nodes pre-installed. SDXL models ready to use immediately.
GPU-accelerated
💻
VS Code
Preconfigured with AI extensions, workspace settings, and custom keybindings for AI-first dev.
40+ extensions

Pre-loaded models (Ollama):

llama3.3:70b deepseek-r1:32b qwen2.5-coder:14b mistral:7b nomic-embed-text + custom on request

Models vary by tier. Ultra tier includes 70B models. Station includes up to 32B. Cloud includes 7B–13B.

Why Now

The market is ready.
We're next.

$1M
Tiiny AI raised $1M in 5 hours on Kickstarter.

Tiiny AI proved the market for pre-configured AI hardware is massive. That campaign was for inference. OVYNT is the developer version — for people who build AI, not just use it.

★★★★★

"I wasted an entire weekend getting my AI setup to work. If OVYNT had existed, I would have shipped two features instead. This is exactly what developers have been waiting for."

A
Alex K. Beta
Senior Engineer, Seed-stage startup
★★★★★

"The 540 agents pre-installed is the killer feature. I've been running Claude Code setups for clients — it takes me 6 hours each time. OVYNT turns that into a product, not a service."

M
Marcus T. Beta
Freelance AI developer
★★★★★

"Running 70B models locally without worrying about setup or cloud costs is a game changer. The Ultra tier pays for itself in Anthropic API savings within 3 months."

S
Sarah L. Beta
ML Engineer, Fortune 500
FAQ

Questions answered.

Every OVYNT device ships with Ollama (with models already downloaded), Docker and Docker Compose, n8n running as a system service, ComfyUI with custom nodes, VS Code with AI extensions, Claude Code with 540+ agents configured, and a local web dashboard to control everything. The OS is fully configured — no first-run setup wizards, no package updates to run. Plug in and every service starts automatically on boot.
OVYNT Station and Ultra support three OS configurations: Ubuntu 24.04 LTS (recommended for AI workloads — best compatibility with CUDA, Ollama, and Docker), Windows 11 Pro (full stack via WSL2), and Dual-boot (Ubuntu + Windows on separate partitions). Select your preference at checkout. All configurations are pre-installed and tested before shipping. OVYNT Cloud runs Ubuntu server-side.
Yes. Station and Ultra are designed to run fully offline. All models are stored locally, Docker images are pre-pulled, and every service runs on-device. You only need internet if you want to use Claude API (Anthropic cloud) or connect n8n to external services. The Ultra tier includes an optional air-gapped configuration for sensitive environments where no internet access is permitted.
The Kickstarter campaign date will be announced to waitlist members first — typically 48–72 hours before it goes public. Waitlist members receive exclusive early bird pricing: up to 30% off launch pricing on Station and Ultra, and 2 months free on Cloud subscriptions. Early bird slots are limited and go to waitlist members in signup order. Join now to secure your position.
You could buy a Beelink or similar mini PC and spend 8+ hours configuring everything. OVYNT is not selling hardware — we're selling configured, tested, production-ready AI developer environments. The value is the stack, the integration, and the fact that it works on first boot. We also handle driver compatibility (a significant pain point), CUDA configuration, service orchestration, and ongoing software updates. Think of it as a developer appliance, not a generic PC.
Limited Early Access

Be first. Get early
bird pricing.

Kickstarter waitlist members get exclusive early bird discounts, first-batch shipping priority, and the lowest prices OVYNT will ever offer.

Up to 30% off launch price 2 months free on Cloud First-batch shipping priority

No spam. Unsubscribe anytime. Early bird seats are first-come, first-served.