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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.
Learn PADChest GR, a new CXR dataset for GenAI by Microsoft Research & University of Alicante, developed with Centaur Labs' expert support.
Listen to Co-founder and CEO Erik Duhaime talk about the origins of Centaur Labs and the future of medical data labeling.
Jill Goldsberry joins VistaTalks to break down why healthcare AI succeeds or fails based on the quality of its data. She explains how Centaur.ai blends expert labeling, scalable processes, and compliance-minded workflows to support trustworthy medical AI. This episode highlights the real work behind clinically meaningful machine-learning systems.