Quality Assurance Methodology
A six-layer QA framework maintaining 95%+ accuracy across every annotation pipeline we run.
From Annotation to Gold-Standard Data
Initial Annotation
Expert annotators complete tasks using domain-specific guidelines tailored to each client project.
Peer Review
A second, independent annotator reviews each task and flags disagreements for adjudication.
Expert Adjudication
Senior QA specialists resolve disagreements using ground-truth benchmarks and domain expertise.
Statistical Sampling
A random 10-20% of every batch undergoes spot-check review by QA leads before approval.
Automated Validation
Custom scripts validate format, schema, range, and consistency against your project rules.
Client Delivery
Datasets ship with QA reports, inter-annotator agreement scores, and full audit logs.
Accuracy You Can Measure
Every client project includes a live quality dashboard with throughput, accuracy, and delivery metrics updated in real time.
Real-Time Quality Dashboards
Every client project includes a live quality dashboard with throughput, accuracy scores, and delivery status updated in real time — so you always know exactly where your data stands.
See Our QA Process in Action
Talk to our team about the quality bar for your specific annotation project.