We collect, record, transcribe, and quality-check custom speech datasets for AI training. Every project is matched to your required languages, speaker profiles, dialects, recording format, metadata, and background noise conditions, so your team receives clean, structured files ready for model development.
We manage the entire pipeline from your initial data spec to audited, deployment-ready voice files.
We source targeted profiles and capture raw audio to your exact dataset specifications. Your pipeline gets authenticated voice files recorded under precise acoustic conditions.
Audio variations:
We convert voice audio into time-aligned, multi-pass text scripts built for model consumption. Every file is stamped and validated according to your custom validation criteria.
Data treatments:
We deliver the complete asset matching your exact pipeline format. Your engineering team gets structured files ready for model training.
Available handoffs:
We run validation checks directly inside active production so formatting errors or speaker variances are fixed instantly. Your team avoids downstream engineering delays caused by messy data.
Validation actions:
Quality auditing runs inside production, not at the end. These are the checks that run on every batch, every contributor, and every delivery.
Reviewers inspect recordings and transcripts while the project is live, so issues are caught during production.
Audio quality, transcript accuracy, metadata completeness, and format compliance are checked against the project spec.
Large projects run in batches. Each batch passes its own quality gate before it enters the final delivery.
Detected issues are escalated and resolved during production rather than discovered after delivery.
Cross-contributor and cross-batch consistency checks keep the full dataset to the same standard throughout.
Statistical sampling of recordings and transcripts validates quality without bottlenecking production throughput.
What happens once you bring us your project, and what you receive at each step.
We audit your data spec to finalize speaker profiles, linguistic requirements, and target noise conditions upfront. You get a fixed scope before production begins.
We launch recruitment and tracking on our secure pipeline. Instead of a black-box handoff at the end, data passes validation gates and ships in structured, predictable batches.
We package authenticated audio files, metadata tables, and verified consent logs directly into your cloud storage. Your data arrives fully formatted and ready for model training.
Send over your speaker profiles, language needs, and background noise conditions. Our team will design a custom recording plan and deliver a complete project workflow within two business days.
