How we handle your data, and what we cannot promise.

Confidentiality first

We will sign an NDA before the scoping call if you want one. Reviewers work under confidentiality terms as well.

De-identified seeds

We can work from seed data with personal information removed, so raw personal data does not enter generation. We ask for the minimum data the task needs.

Used only for your engagement

Your seed data and specifications are used for your project. Retention and deletion terms are agreed in writing before work begins.

Leakage and memorization checks

Before release, we check generated data for verbatim and near-verbatim reproduction of seed records, and report the result in the quality report.

Traceable and reproducible

Prompts, seeds, generator models and filters are versioned and recorded in the dataset card, so every release can be traced.

Generator terms recorded

The terms attached to the output of generator models differ by provider. We note which models were used so you can check them against your own use.

Honest limits

We have not yet pursued formal certifications such as SOC 2 or ISO 27001. If your procurement requires them, tell us at the scoping call so we can be clear about fit.

Synthetic does not automatically mean private. Generated data can reproduce parts of its seeds. We test for it and report what we find, but we cannot promise zero risk.

We are not the right fit for every dataset. For regulated personal data, we would agree handling terms with you in writing first, and we may decline.

Early-stage. Our process is documented and our pilot is running, but we do not yet have a long delivery record. Judge us on the pilot and the evidence in each report.

Synthetic datasets and evaluation benchmarks for teams shipping LLMs and AI agents, delivered with the evidence.

Synthetic data Evaluation benchmarks Trust and data handling

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