
Corpora and datasets
We collect, clean and annotate text corpora and datasets for model training and fine-tuning tasks.

Documents for RAG
We structure documentation for retrieval-augmented generation: chunking, metadata, retrieval quality.

Fine-tuning preparation
Instruction and domain datasets for fine-tuning: formats, templates, example validation.

Data quality control
We check completeness, consistency and cleanliness: deduplication, quality metrics, sample audits.

Text extraction
We extract text from PDF, DOCX, HTML and scans: tables, structure — without losing meaning or adding junk.

Data readiness audit
We assess whether your data is fit for RAG or training and what to fix: an issue map and a preparation plan.