AI training datasets
Real human conversation data for AI and LLM training
Multilingual, cleaned and structured datasets built from authentic human communication — ready for model training and evaluation.
Models trained only on synthetic text drift away from how people really speak. We collect, clean, structure and document conversational data across languages, with consent and traceability at every step.
What we deliver
Authentic human conversations
Natural dialogue, not templated text, covering everyday business and service contexts.
Multilingual coverage
English, French, Spanish, German, Portuguese, Dutch, Chinese and Japanese, with native review.
Cleaned and structured
Deduplicated, normalised, tagged and delivered as JSONL or Parquet with a documented schema.
Consent and traceability
Documented provenance, personal data removed, and a licence that states exactly what you can do.
Built for training pipelines
Every dataset ships with a data card: sources, languages, volumes, cleaning rules, known limitations and evaluation splits.
01
Specification
We define languages, domains, formats, volumes and quality criteria with your team.
02
Collection & cleaning
Data is gathered with consent, stripped of personal information and normalised.
03
Delivery & iteration
You receive a sample, validate it, then the full set with the documentation.
How we work
Frequently asked questions
How is personal data handled?
Identifiers are removed or pseudonymised before delivery, and every source is collected with consent and documented provenance.
What formats do you deliver?
JSONL and Parquet by default, with CSV on request, plus a data card describing schema, volumes and limitations.
Can you build a custom dataset for our domain?
Yes. Most projects are custom: you specify languages, domains and volumes, and we run a pilot batch before scaling.
Interested?
Need data for your model?
Tell us your languages, domains and volumes — we come back with a sample and a proposal.