We convert unstructured, messy raw data into production-ready JSONL and Parquet datasets for LLM fine-tuning, pre-training, and evaluation pipelines.
Every dataset is processed and stored exclusively on EU servers. GDPR-compliant DPA on every project. Zero data transfer to the USA.
All data encrypted at rest and in transit using AES-256 with Fernet key management. End-to-end cryptographic security.
Berlin-registered business. DPA included. BSI guidelines followed. NDA standard on all projects.
You send us your raw data. We return production-grade training datasets on your timeline, fully documented.
PDFs, HTML, CSVs, audio transcripts, web scrapes — any format, any language, any volume.
Deduplication, normalisation, schema design, PII removal, quality filtering and annotation.
Output as JSONL, Parquet, or custom schema — optimised and validated for your pipeline.
Every dataset ships with a data card, quality stats report and sample validation file.
Specialist data services for AI teams who need clean, structured, production-ready datasets fast.
Instruction-following, chat, DPO pairs, and completion formats tailored to your model architecture.
Schema-optimised columnar Parquet files for large-scale pre-training via Hugging Face, S3, or BigQuery.
Deduplication, language detection, normalisation, PII scrubbing, toxicity filtering and quality scoring.
Held-out benchmarks with human-verified labels to track fine-tuning progress.
Document segmentation, chunking strategy and metadata enrichment for your vector database pipeline.
Recurring batch jobs, format converters and automated QA reporting built around your workflow.
Describe your raw data and what you need. We'll reply within one business day.