Blog
Centaur.ai is proud to announce the successful completion of its SOC 2 Type II audit, further demonstrating the company’s commitment to data security, privacy, and operational excellence. This achievement affirms Centaur’s dedication to meeting the highest standards of trust and compliance—especially critical when serving customers in regulated industries like healthcare, life sciences, and medical AI.
SOC 2 (System and Organization Controls) is an industry-recognized framework developed by the American Institute of Certified Public Accountants (AICPA). It evaluates a company’s controls related to security, availability, processing integrity, confidentiality, and privacy. A Type II audit is particularly rigorous, as it assesses not only the design of a company’s controls but also their operating effectiveness over a defined period.
For Centaur.ai, this milestone validates the robust infrastructure behind its expert data labeling platform, which supports some of the most demanding AI use cases in medicine and science. As organizations increasingly rely on Centaur’s high-quality annotation workflows to train and validate AI models, data protection remains a top priority.
“Trust and quality are foundational to what we do,” said Erik Duhaime, CEO and co-founder of Centaur.ai. “Achieving SOC 2 Type II compliance reflects the discipline and care we bring to every aspect of our platform—from data handling to expert management. It’s a meaningful signal to our customers that they can rely on us.”
Centaur.ai will continue to invest in enterprise-grade compliance, security protocols, and third-party audits to ensure the highest level of protection for its customers’ data. For companies building AI in healthcare, life sciences, and beyond, Centaur.ai remains a trusted partner in delivering accurate, secure, and scalable expert-labeled data.
Synthetic financial datasets let banks and financial firms train AI models safely without exposing customer data. By replicating real-world patterns without real records, they improve fraud detection, credit scoring, and compliance testing. Centaur.ai provides expert-annotated, scalable synthetic data to power privacy-safe innovation in financial AI.
Listen to Co-founder and CEO Erik Duhaime talk about the origins of Centaur Labs and the future of medical data labeling.
Medical vibe monitoring makes AI annotation observable, measurable, and audit-ready. By tracking expert performance, consensus reliability, and pipeline health in real time, healthcare AI teams can detect labeling errors early, improve data quality, accelerate annotation throughput, and meet regulatory requirements with confidence using Centaur’s competitive expert network and observability infrastructure.