Miniclay AI
One prompt to a deployed HuggingFace model in 20 minutes
Miniclay AI is an autonomous platform that turns raw datasets into fine‑tuned, production‑ready models in minutes. Users upload CSV, JSONL, or image folders (up to 500 K rows), and Miniclay’s SynthFix engine runs six parallel quality detectors—entropy, deduplication, alignment, KL divergence, repetition, and more—using an LLM to repair broken rows instead of discarding them. The cleaned data is then fine‑tuned on serverless T4 GPUs via Modal with Unsloth optimizations, achieving training times around 20 minutes and up to 70 % lower VRAM usage. Finished models are automatically pushed to the user’s Hugging Face repository for instant sharing, testing, or API serving. The service offers a flat‑rate, no‑compute‑fee pricing model, a free tier for up to 50 K rows, and end‑to‑end pipeline management from data ingestion to deployment.
