Blokire operates with strict access controls, documented workflows, and quality assurance systems designed for sensitive AI workloads.
Multi-layered quality controls ensure consistent, accurate outputs at scale
Pre-labeled ground truth tasks embedded in workflows to continuously assess annotator accuracy. Operators below threshold are retrained or removed.
Random sampling of completed tasks for quality review by QA leads. Sample rates adjusted based on task complexity and annotator performance.
Overlapping task assignments to measure consensus and identify guideline ambiguities. Low agreement triggers calibration sessions.
Conflicting labels reviewed by QA leads with client escalation for guideline clarification. All decisions documented for training.
Weekly calibration sessions, guideline updates, and performance reviews to maintain quality standards.
Tasks flagged as low-confidence or failing QA automatically routed back for review and correction before delivery.
Complete audit trail of all task assignments, completions, and QA reviews with timestamps and user IDs.
Quality metrics, throughput tracking, SLA attainment, and accuracy scores delivered weekly.
Clear process for quality issues, guideline questions, and edge case handling with documented resolution paths.
Blokire's security and quality practices are aligned with industry best practices. Specific certifications (SOC 2, ISO 27001, HIPAA) are available upon request for contracted enterprise engagements. Contact us to discuss your specific compliance requirements.
Get detailed documentation on our security practices and quality assurance framework.
Contact Security TeamEmail: contact@blokire.io