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Centaur Labs completes SOC 2 Type II audit to further commitment to data security

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The Centaur Blogging Team
March 30, 2023

Centaur Labs Completes a SOC 2 Type II Audit to Further Data Security

Centaur Labs 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 Labs, 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 Labs. “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 Labs 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 remains a trusted partner in delivering accurate, secure, and scalable expert-labeled data.

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