Trust & Quality Center

Quality You Can Measure. Privacy You Can Trust.

Every dataset SadiGroup delivers is backed by a rigorous multi-tier quality pipeline, binding confidentiality agreements, and documented data handling practices aligned with global privacy standards.

98.7%

Average annotation accuracy across all projects

< 0.3%

Client-reported defect rate on delivered datasets

4-tier

Quality review pipeline on every project

100%

NDA coverage across all contributors and staff

72h

Maximum turnaround for quality issue resolution

15%+

Minimum QA sampling rate (higher for sensitive tasks)

Our Quality Assurance Pipeline

Quality is not a final check — it is embedded at every stage of the workflow. Our five-stage QA pipeline catches errors before they compound and ensures consistent accuracy across projects of any scale.

01

Contributor Vetting

Every contributor undergoes language proficiency testing, background screening, and a structured onboarding assessment before joining any project.

Native speaker verification
Proficiency benchmark test
Identity & background check
Task-specific calibration
02

In-Task Quality Controls

Real-time quality signals are embedded throughout every task — including golden-set validation items, consistency checks, and automated anomaly detection.

Golden-set validation items
Inter-annotator agreement monitoring
Automated consistency checks
Real-time outlier flagging
03

Peer Review Layer

A dedicated tier of senior reviewers audits a statistically significant sample of all completed work, with 100% review on high-stakes or sensitive projects.

Senior annotator review
Statistical sampling (≥15%)
100% review for sensitive tasks
Structured feedback loops
04

QA Lead Audit

QA leads perform final audits, resolve escalations, and produce per-project quality reports with inter-annotator agreement scores and error analysis.

Final audit by QA lead
IAA score reporting
Error categorization & analysis
Client-facing quality report
05

Client Acceptance Review

Clients receive structured deliverables with full quality documentation. Rejection rates and revision cycles are tracked and fed back into process improvement.

Structured deliverable package
Full quality documentation
Revision tracking & SLA monitoring
Continuous process improvement

Data Privacy & Compliance

Handling client data responsibly is a core operational requirement, not an afterthought. Our privacy practices are designed to meet the expectations of enterprise clients operating in regulated industries.

NDA & Confidentiality

All contributors, staff, and subcontractors sign binding NDAs before accessing any client data. Project-specific confidentiality agreements are available on request.

GDPR Awareness

Our data handling practices are aligned with GDPR principles — including data minimization, purpose limitation, and documented consent for all contributor-generated content.

Data Access Controls

Client data is accessible only to contributors and staff assigned to the specific project. Role-based access controls and audit logs are maintained throughout.

Secure Data Transfer

All data transfers use encrypted channels. We support client-specified secure transfer protocols and can work within client-managed infrastructure environments.

Data Retention Policy

Client data is retained only for the duration required to complete the project. Secure deletion is performed upon project completion or at client request.

Incident Response

We maintain a documented incident response procedure with defined escalation paths, client notification timelines, and post-incident review processes.

Contributor Standards & Ethics

The quality of our output depends entirely on the quality of our contributors. We invest heavily in contributor selection, training, and ongoing performance management — and we hold ourselves to ethical standards that protect both contributors and clients.

Fair compensation benchmarked to local market rates

Clear task guidelines and escalation paths for ambiguous cases

Regular calibration sessions to maintain annotation consistency

Transparent performance feedback and improvement support

Zero tolerance for data misuse or confidentiality breaches

Quality Commitment

Accuracy Guarantee

We stand behind our accuracy benchmarks. If delivered data falls below agreed quality thresholds, we remediate at no additional cost.

Transparent Reporting

Every project delivery includes inter-annotator agreement scores, error rate breakdowns, and a QA summary report.

Continuous Improvement

Client feedback is systematically incorporated into annotator training and guideline updates. We track improvement over project lifecycle.

Dedicated QA Contact

Enterprise clients are assigned a dedicated QA lead who serves as the single point of contact for all quality-related questions.

Ready to Work with a Partner You Can Trust?

Discuss your data quality requirements with our team. We'll walk you through our QA process and tailor it to your project's specific accuracy and compliance needs.