From buyer requirements to usable human data.
Sonexis connects buyer requirements, controlled contributor workflows, QA review, metadata, and delivery into one clean data process.
Ten steps from scope to delivery.
Every project follows this sequence. The scope, volume, and timeline vary by buyer requirements, but the structure remains consistent.
Buyer shares requirements
Model type, use case, language needs, deployment context, and expected volume.
Sonexis scopes the dataset
Language combinations, speaker profiles, scenario types, metadata structure, and delivery format.
Collection plan is created
Task design, consent terms, QA standards, and timeline agreed before collection begins.
Contributors are matched through Collect
Screened contributors matched to language, region, and scenario requirements.
Tasks are assigned with clear guidelines
Scenario, format, recording environment, and consent terms included in every task.
Recordings are submitted
Contributors submit through Sonexis Collect with task metadata attached.
Submissions reviewed through QA
Audio quality, language match, consent verification, task accuracy, completeness.
Metadata and structure prepared
Speaker data, language tags, scenario notes, QA status, and known issues compiled.
Dataset is delivered
Structured delivery in the agreed format: audio, transcripts, metadata, manifests.
Feedback improves future batches
Model performance review informs the next collection cycle.
What helps us scope accurately.
The more context you share, the more precisely we can scope the collection. You do not need all of this at the start, but the more detail you have, the faster we can move.
Six ways to work with Sonexis.
One-off custom dataset
A single scoped collection delivered against agreed requirements.
Evaluation dataset
Data structured for model evaluation against defined performance criteria.
Benchmark dataset
Standardised evaluation sets for repeatable cross-model benchmarking.
Ongoing collection pipeline
Repeatable, scheduled collection for teams with continuous data requirements.
Paid sample pack
A small structured sample to evaluate data quality before committing to a full collection.
Managed collection programme
Fully managed data collection with Sonexis owning design, collection, QA, and delivery.
Collect is the operational layer.
Sonexis Collect is the platform behind contributor onboarding, consent, task assignment, recording submission, QA status, and contributor payment tracking. It is not a public upload service. Contributors are screened, tasks are assigned, and submissions are reviewed before any data enters a project delivery batch.
Start a dataset request.
Tell us what you are building. We will scope the collection and come back with a clear proposal.