What is Synthetic Data?

Data generated by models or simulation engines, used to fill gaps where real data is scarce, cover long-tail scenarios, and control cost.

What buyers get wrong

The risk with synthetic data is distribution shift — however realistic the output looks, it can still diverge from real data along dimensions that matter, and the model fails once it ships.

The specification detail that decides everything

The generation method, the model version used, and whether alignment with real data was validated all have to be documented.

This is the line item that most often separates a dataset that works from one that gets re-ordered. It belongs in the specification before production starts, not in the delivery review.

How we source synthetic data

We do not hold inventory in this category. A requirement comes in, we match it to a producer who can meet the specification, and we agree the quality bar with both sides before recording begins. A pilot batch goes first so misalignments surface early.

Specification at a glance

CategorySynthetic Data
GroupNew data paradigm
Critical specThe generation method, the model version used, and whether alignment with real data was validated all have to be documented.
Included by defaultPilot batch, metadata schema, source and consent documentation
PricingQuoted from specification — no published rates

See how a synthetic data delivery is structured →

Related categories

  • Embodied AI Data

    Multimodal data generated as robots and embodied agents operate in real environments — vision, action trajectories, and language instructions.

  • World Model Data

    Environment interaction data for training world models, emphasizing temporal consistency, physical plausibility, and predictability.

Questions about synthetic data

Do you have synthetic data available now?

No — we do not hold inventory. Everything is produced against a specification. That means the timeline starts when the spec is agreed rather than immediately, and it also means the data matches your requirement instead of approximately matching something already built.

Can this be combined with other categories in one delivery?

Yes, and it is common. A single specification can cover several categories across several languages, with one pilot batch and one quality bar. It usually reduces total cost because speaker recruitment and project setup are shared.

What does the consent documentation cover?

Signed speaker consent stating the intended use, the collection methodology, and the annotation guideline the data was produced under. For projects involving EU data subjects the chain is built to satisfy GDPR, including the transfer mechanism.

Request synthetic data

Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline — not a range. If we cannot source it well, we will tell you that instead.

  • Pilot batch before the full run, so problems surface early.
  • Consent documentation delivered with the data.
  • No medical or clinical data. No recorded telephone calls.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

Contact

Talk to a human

Send a specification and we will come back with a real number and timeline.

Submit a sourcing request

Or email hello@linguacorpus.com