Building custom AI models is still complex — datasets, cleaning, training, GPUs. Most developers give up or use generic models. Miniclay AI lets you describe what you want and handles everything: data sourcing, cleaning, and fine-tuning. Free users get a working notebook. Paid users get 1-click cloud fine-tuning and ready-to-use models.

Hey everyone, I’m the founder of Miniclay AI 👋 I built this because I kept hitting the same problem: Fine-tuning AI models sounds easy… but in reality it’s a mess. Every time I tried, I had to: - find datasets - clean messy data - write training code - debug notebooks - deal with GPUs And honestly, most of the time wasn’t even training — it was cleaning data. So I built Miniclay AI to fix this. The idea is simple: You describe the model you want, and we handle everything. → dataset sourcing → data cleaning (SynthFix) → training → deliver a fully fine-tuned, ready-to-use model No setup. No CLI. No debugging. Right now: - Free → get a notebook (DIY mode) - Paid → 1-click cloud fine-tuning Still early, but early ML devs told me: “This is exactly the pain point.” I’d love honest feedback: 👉 Would you use something like this? 👉 What would stop you from trusting it? Happy to answer anything 🙏

Miniclay AI

Fine-tune custom AI models from a simple prompt.

Fine-tune custom AI models from a simple prompt.

Miniclay AI

Previous Miniclay AI Launches

Previous Miniclay AI Launches