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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. Talk to an expert 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 Controlled Processing Protect Sensitive Workflows Process confidential datasets within controlled cleanroom environments designed to support secure AI development and enterprise governance. Unlock Sensitive Data 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 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. 01 Personalization Model Evaluation Ensure user outputs adapt without breaking, evaluate tone, context, and variability so personalized experiences stay consistent, relevant, and reliable at scale. Learn More 02 Pilot Programs Launch faster with confidence, stand up structured validation early, surface risks before they scale, and move from concept to production without rework. Learn more 03 AI Model Builder Catch failures early, validate real-world performance, and deliver systems that behave reliably in production. Learn more Use Cases Built for Complex AI Programs High-variance multilingual environments where automated systems break down and oversight becomes critical. Ensure user outputs adapt without breaking, evaluate tone, context, and variability so personalized experiences stay consistent, relevant, and reliable at scale. Launch faster with confidence, stand up structured validation early, surface risks before they scale, and move from concept to production without rework. Catch failures early, validate real-world performance, and deliver systems that behave reliably in production. Case Studies Human oversight for enterprise data See how enterprise AI teams validate multilingual data and reduce risk before production deployment. View All Case Studies Case Study: Addressing Critical Data Gaps Through Targeted Image Collection Learn More Case Study: Evaluating Gemini-Powered Voice AI Hotline for Low-Connectivity Nigerians Learn More Case Study: Building a Structured Human Evaluation System for AI-Generated Video Learn More Case Study: Creating Market-Native Scam Detection Data for Real-Time Mobile AI Protection Learn More Resources — Case Studies Case Study: Separating Evaluation Noise From Real Model Performance Learn More Resources – Case Studies Case Study: Real-Time Multilingual Translation Content Moderation for Global Video Provider Learn More Resources – Case Studies Case Study: Secure Infrastructure for Sensitive AI Training Data Learn More Resources – Case Studies Case Study: A Production-Grade Speech Dataset for In-Cabin Voice (GAS) Learn More 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. Contact us