Quality & Methodology
Enterprise-grade data quality, assured by four independent verification layers
Every hour of material passes four independent quality gates before it enters a delivery: automated integrity screening, continuous objective quality measurement, tiered review by native speakers, and independent consensus on difficult cases. We deliberately do not publish the exact signals, thresholds and control mechanics — a verification system whose rules are public is a system that can be gamed. What we do disclose is this: every delivery ships with documented consent, a complete provenance trail and watermarking.
Automated integrity screening
Every submission passes a battery of automated integrity and plausibility checks before any person sees it. Anything that appears irregular is flagged and routed to closer human inspection rather than passing through unexamined.
Continuous quality measurement
Each contributor's accuracy is measured continuously against objective reference points they can neither see nor predict. The results feed a personal trust score that gates payouts and determines how intensively their work is reviewed.
Tiered human review
Newcomers are reviewed on every submission; experienced contributors are reviewed by sample. Reviewers are promoted from the strongest contributors, and their verdicts are themselves audited.
Independent consensus
Difficult or flagged cases are never decided by a single person. Several reviewers judge them independently, without sight of one another's verdicts, and only agreement lets a submission through.
Proven Contributor Quality
Contributors advance through a structured trust system with growing responsibilities. Only those who demonstrate consistently high accuracy gain access to advanced tasks — a self-reinforcing arrangement in which the strongest contributors produce the most data.
The ASR Flywheel
A continuous improvement loop: native speakers record audio, our ASR model drafts the transcript, contributors correct its errors, the corrections train better models, and better models require fewer corrections. The result is data quality that improves with every cycle.
Data Security
All data exports are protected by several independent security measures. Every export is tracked and traceable, and access controls keep your data secure from delivery through use.
Tell us what you need to train.
Language, domain, volume — we reply with availability, a sample dataset and a quote. Custom collection typically begins within weeks.