The Data Foundry for LLMs
We believe the quality of an LLM is only as good as the data it's trained on. LLM-Alchemi exists to make high-quality training data preparation accessible, visual, and repeatable — without writing a single line of code.
The Problem
Fine-tuning LLMs requires clean, well-structured datasets. But getting there is painful. Teams cobble together Python scripts, spreadsheets, and manual review processes that are fragile, hard to reproduce, and impossible to hand off.
Data quality issues — duplicates, inconsistent formatting, missing fields, PII exposure — silently degrade model performance. By the time you notice, you've already wasted compute on bad data.
Our Approach
LLM-Alchemi replaces fragmented scripts with a unified visual platform. Upload your raw data, build transformation recipes with drag-and-drop operations, analyze quality metrics, and export clean JSONL — all in one workflow.
Every transformation is visible, auditable, and repeatable. No hidden logic, no black boxes. You see exactly what happens to your data at every step.
Quality First
Built-in analytics, LLM-as-a-Judge scoring, and duplicate detection ensure your training data meets the highest standards.
Full Transparency
Every transformation step is visible with live previews and diffs. No hidden logic — you control and understand every change.
Simplicity
No coding required. A visual interface that anyone on your team can use to prepare production-quality datasets.