We work with projects of all sizes -  from small proof-of-concept datasets to full production-scale annotation. There’s no strict minimum on volume, but for very small datasets, we recommend starting with a smaller scope (free pilot)  to align on quality before scaling. Pricing is tailored to your scope, complexity, and other requirements.

We typically start within 48 hours of finalizing your requirements. Delivery time depends on your dataset’s scope and complexity. Most smaller projects are completed within up to 2 weeks, while large-scale projects are delivered in around a month.

Your data will be labeled by our in-house team of trained annotation specialists. Every annotator undergoes rigorous onboarding, tool training, and project-specific instruction before starting work.

We operate with a two-layer QA process designed to consistently achieve 99%+ accuracy. This includes peer review, automated validation checks, and random sampling by senior quality specialists. If any label doesn’t meet your specifications, we rework it at no additional cost. Our goal is to deliver data that’s ready for training without further cleanup.

We handle all projects under strict security protocols. All annotators sign NDAs, work within secure environments, and only access the data they are assigned. We’re GDPR-compliant and can implement additional safeguards for sensitive or regulated datasets, including encryption, anonymization, and limited-access workflows.