Self-hosted AI Deployer

Deploy self-hosted AI models as easily as Vercel, with automatic optimal inference config.

Problem

Deploying AI models on your own hardware is painful: manual dependency handling, inference engine config, performance tuning. Existing solutions are complex and lack automation, making it hard for developers to quickly set up a secure API.

Solution

A lightweight deployment tool: specify hardware and model, it auto-installs dependencies, picks the optimal inference backend (vLLM, llama.cpp, etc.), generates a secure API endpoint, and provides a monitoring dashboard. Vercel-like experience for self-hosted AI.

Users

Developers and small teams needing private AI deployment, privacy-sensitive industries.

MVP

Auto-convert mainstream model formats; hardware detection and recommended inference config; one-click install and start API service; basic monitoring and logs.

Revenue

Open-core with enterprise edition (multi-node management, SSO, priority support), annual subscription.

Why now

Self-hosted AI demand is growing, but deployment tooling is fragmented—an indie developer can build the easy entry point.