100% on-device processingv1.0

AI that never leaves your phone

Run 30+ open-source models on your iPhone. Optimized for Apple Silicon. Every word stays on your device.

9:41

Apple Foundation

Explain quantum computing simply

A regular computer tries one path at a time through a maze. A quantum computer tries all paths simultaneously — that's the power of qubits.

How is this useful in real life?

Drug discovery, weather prediction, cryptography, supply chain optimization — problems too complex for classical computers.

38 tok/s · On-device · Private

Ask anything...

Gemma

Qwen

Llama

Phi

Mistral

Bonsai

LFM

Granite

0

Bytes sent to servers

100%

On-device processing

30+

AI models available

Zero

Data shared or sold

Features

Intelligence that respects
your boundaries

No servers. No accounts. No tracking. Everything happens on your hardware.

Absolute Privacy

Zero data leaves your device. No analytics, no telemetry, no cloud. Airplane mode is perfect.

Instant & Offline

Download once, use forever. No internet needed. Works in basements, planes, everywhere.

30+ AI Models

Gemma, Qwen, Llama, Bonsai, LFM, Phi, Granite — tap to download.

Voice & Vision

Speak naturally with on-device speech recognition. Attach photos for private AI analysis. Everything processed locally.

Siri & Shortcuts Agent

"Ask OwnPodAI" from anywhere on your iPhone. Build multi-step automations with Shortcuts. System-wide AI agent, completely offline.

Models

World-class open models

One-tap download. Optimized for Apple Silicon.

Gemma 4GoogleNEWVISION

Bonsai 8BPrismML1-BIT

LFM 2.5Liquid AIVISION

Qwen 3AlibabaTHINK

Llama 3.2Meta

Phi-4MicrosoftTHINK

Ministral 3Mistral

Granite 4.0IBMNEW

Cogito v1Deep CogitoTHINK

Apple FoundationBuilt-in

Technology

Engineered for Apple Silicon

Every layer optimized for the chip in your pocket.

Metal GPU Acceleration

AI inference directly on your iPhone's GPU. Parallel computation across thousands of cores.

40+ tok/s on iPhone 16 Pro

MLX

MLX Framework

Apple's ML framework for unified memory. Faster loading, less memory on A-series chips.

Unified Memory Architecture

Neural Engine

Apple Foundation uses dedicated 16-core Neural Engine. Hardware-accelerated, near-zero battery impact.

16-core dedicated AI hardware

llama.cpp + GGUF

Industry-standard ARM64 inference engine. 4-bit to 1-bit quantization for optimal mobile performance.

Optimized quantization

Two Modes. Unlimited Power.

Your phone. Your hardware.
Any model. Any size.

OwnPodAI works two ways — choose what fits your setup.

On-Device

Models run directly on iPhone

1B — 4B

parameter models

Speed30-50 tok/s

InternetNot needed

Privacy100% offline

Best forQuick tasks

Local Server

Models run on your Mac/PC via WiFi

7B — 405B

parameter models

Speed10-40 tok/s

InternetWiFi only (local)

PrivacyNever leaves home

Best forComplex research

What can you run?

Any laptop or desktop running Ollama — match your RAM to a model

Your Device	RAM	Models You Can Run	Quality
MacBook Air M1/M2	8 GB	Llama 3.2 3B, Phi-4 Mini, Qwen 3 4B	Basic
MacBook Pro M3/M4	16 GB	Llama 3.2 8B, Gemma 2 9B, Qwen 3 8B	Good
MacBook Pro / Mac Mini	32 GB	Qwen 2.5 14B, Gemma 2 27B, Llama 13B	Great
Mac Mini / Mac Studio M4	64 GB	Llama 3.1 70B, Qwen 3 72B, DeepSeek V3	Excellent
Mac Studio / Mac Pro	128+ GB	Llama 405B, Mixtral 8x22B, any model	Maximum

Also works with Linux PCs (NVIDIA GPU) and Windows PCs (WSL2)

Your iPhone OwnPodAI app

Home WiFi

Any Mac / PC Ollama · 8-192GB RAM

Any Model 3B to 405B
No limits

Setup Guide — 5 minutes to connect →

FAQ

Questions

Models (1-4GB) download once and run entirely on your GPU and Neural Engine. No internet after initial download.

Zero network calls during chat. No servers. Works identically in airplane mode.

iPhone 12+. Best on iPhone 15 Pro+. Apple Foundation needs iOS 26.

Great for everyday tasks. Cloud models edge on complex research. But nothing beats on-device for privacy.

Yes. "Ask OwnPodAI" for instant on-device responses. Integrates with Shortcuts for automation.

Install Ollama on your Mac or PC, connect OwnPodAI over WiFi, and chat with 70B+ models. Your prompts travel over your local network only — never the internet. It's like having your own private GPT-4 at home.

A Mac Mini M4 with 64GB RAM can run Llama 3.1 70B comfortably. For smaller 7B-13B models, any Mac with 16GB RAM or a PC with a decent GPU works well. The iPhone just needs to be on the same WiFi network.