Sensitive Workflows
Protect Sensitive Data Before It Becomes Model Risk
Native-speaker reviewers, sensitive-data cleared, across 350 languages, catching prompt, output, and PII failures before your release gate.
0 %
Of publicly exposed cloud data is classified as confidential [O’Flaherty, 2025]
Trusted by enterprise teams building AI at scale
Model Failures Start Upstream
An upstream evaluation miss becomes downstream model drift. We enforce quality before failures reach production systems.
Controlled Access
Role-based access restrictions and authenticated entry systems designed to limit exposure to authorized personnel only.
Isolated Cleanroom Environments
Physically separated processing environments built to support secure handling of sensitive and regulated datasets.
Monitored Operations
24/7 monitored facilities with maintained access logs, controlled visibility, and operational oversight.
Secured Workstations
Locked-down systems, restricted device policies, and controlled tooling environments designed to prevent unauthorized access or transfer.
Contained Data Workflows
Data, communications, and processing remain fully contained within controlled environments to minimize exposure risk.
Governance & Compliance
Structured security practices aligned to enterprise governance expectations, including ISO 27001 and SOC 2 Type II frameworks.
Governed workflows
Human Evaluation for
High-Risk AI Systems
Every stage includes quality gates, validation controls, and independent review before data moves downstream.
Controlled Processing
Protect Sensitive Workflows
Process confidential datasets within controlled cleanroom environments designed to support secure AI development and enterprise governance.
Unlock Sensitive Data
Utilize More High-Value Data Sources
Work with real-world datasets containing sensitive user interactions, PII, and contextual inputs without expanding exposure risk.
Secure Scale
Scale AI Without Added Exposure
Expand multilingual and multimodal workflows without increasing operational risk, infrastructure burden, or exposure pathways.
Use Cases
Built for Complex AI Programs
High-variance multilingual environments where automated systems break down and oversight becomes critical.
Case Studies
Human oversight for enterprise data
See how enterprise AI teams validate multilingual data and reduce risk before production deployment.
Resources — Case Studies
Case Study: Separating Evaluation Noise From Real Model Performance
Resources – Case Studies
Case Study: Real-Time Multilingual Translation Content Moderation for Global Video Provider
Resources – Case Studies
Case Study: Secure Infrastructure for Sensitive AI Training Data
Resources – Case Studies
Case Study: A Production-Grade Speech Dataset for In-Cabin Voice (GAS)
Sensitive Data Without the Risk
No AI initiative is worth risking sensitive data. We help teams handle regulated and high-risk information securely, compliantly, and at scale.
