OPAQUE has announced it raised $24 million in a Series B funding round, which values the company at around $300 million. This fresh capital brings its total funding to over $55 million. The round was led by Walden Catalyst, with support from returning investors like Intel Capital, Race Capital, Storm Ventures, and Thomvest. The Advanced Technology Research Council also joined as a new investor and strategic partner. The company aims to become a trusted layer for enterprise AI security.

Addressing the Trust Gap in AI

As AI becomes a key part of business operations, trust and security are more important than ever. Major tech companies such as NVIDIA, AMD, Intel, Google, Microsoft, and AWS are pushing confidential computing for AI workloads. Industry reports say Confidential AI is now essential for protecting sensitive data during model training and inference. However, many companies struggle to move past pilot projects due to concerns over data leaks, compliance rules, and audit requirements. This creates a growing gap between AI ambitions and the ability to trust the technology in real-world use.

OPAQUE is positioning itself as a solution to these issues. The company has developed a platform that provides verifiable privacy, enforces policies, and guarantees model integrity throughout the AI process. Industry leaders see this as a crucial step toward enabling secure, enterprise-grade AI. According to Young Sohn, a partner at Walden Catalyst, OPAQUE’s technology helps enterprises protect their most sensitive data and models, making AI deployment more reliable and trustworthy.

How OPAQUE’s Technology Works

The company plans to use the new funding to speed up the development of its Confidential AI platform. This infrastructure is designed to be secure and auditable, meaning enterprises can get cryptographic proof that their data remains private and their models stay intact at every stage. This approach addresses the rising pressure on organizations to deploy AI quickly while meeting strict compliance standards.

OPAQUE’s platform offers measurable governance, shifting the focus from assumptions to verified security. CEO Aaron Fulkerson explains that trust is the main barrier to scaling AI in businesses. His team’s technology shows proof that data stayed private during computation, model weights weren’t exposed, and policies were enforced exactly as intended. This confidential-first approach aims to turn sensitive data from a liability into a competitive advantage for companies looking to harness AI safely.

As AI adoption accelerates across industries, OPAQUE’s solutions aim to fill a critical trust gap. By providing verifiable guarantees, the company hopes to make enterprise AI more secure, compliant, and ready for widespread deployment. This funding round marks a significant step in supporting that vision and helping more companies confidently integrate AI into their operations.

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