OPAQUE, a company specializing in Confidential AI technology, has announced a fresh round of funding. They raised $24 million in a Series B investment led by Walden Catalyst. Existing investors like Intel Capital, Race Capital, Storm Ventures, and Thomvest also participated. Additionally, the Advanced Technology Research Council (ATRC) joined as a new strategic investor. This brings OPAQUE’s total funding to $55.5 million and values the company at around $300 million after the investment. The company has quickly moved from concept to deployment, gaining support from major players like NVIDIA, AMD, Intel, and Anthropic, as well as cloud giants Google, Microsoft Azure, and Amazon Web Services.

Addressing Trust Challenges in Enterprise AI

Many companies want to use AI on sensitive data but face hurdles related to privacy and compliance. As AI becomes more integral to business operations, concerns about data leaks and regulatory violations grow. This has led to a slowdown in AI deployment, as security teams and legal departments hesitate to move forward without clear guarantees. The so-called “trust chasm” is causing many AI pilots to stall, preventing wider adoption across industries.

Experts like Young Sohn, a founding partner at Walden Catalyst, say that building trust is essential for AI to reach its full potential in enterprises. He emphasizes that OPAQUE’s platform offers verifiable privacy, policy enforcement, and model integrity. These features are now considered critical as organizations seek to ensure their data and models are protected at every stage of AI workflows. The company’s technology aims to provide the confidence needed for enterprises to fully embrace AI at scale.

Accelerating Confidential AI Adoption

This new funding will help OPAQUE speed up the development of its Confidential AI platform. The platform provides a secure, auditable infrastructure that gives organizations proof that their data remains private and their models stay protected throughout processing. This transparency is especially important for companies under pressure to innovate quickly while meeting strict compliance standards.

CEO Aaron Fulkerson explains that the core barrier to enterprise AI is trust. Many organizations are hesitant because they can’t verify that their sensitive data is safe during AI computations. OPAQUE’s technology offers runtime proof that data stays private, model weights are never exposed, and policies are enforced precisely as intended. This shift towards a “confidential-first” infrastructure aims to turn sensitive data from a liability into a strategic advantage, enabling smarter, safer AI deployments across industries.

Overall, OPAQUE’s platform is designed to bridge the trust gap in enterprise AI. By providing verifiable security and compliance guarantees, the company hopes to accelerate the adoption of AI that respects privacy and ensures integrity. As more organizations seek to harness AI’s power without compromising security, OPAQUE aims to be a key enabler in making confidential AI a standard part of enterprise infrastructure.

Inspired by

• https://ai-techpark.com/opaque-systems-raises-24m-series-b-at-300m-valuation/