OPAQUE's confidential AI closes miners' trust gap, enabling Barrick Gold use; raises $24M
- Helps miners like Barrick run advanced AI on proprietary geological, reserve and telemetry data securely.
- Prevents data leakage and policy drift during AI computation on Barrick's sensitive models and telemetry.
- Provides auditable proofs that Barrick's proprietary signals remain in enclaves and model behavior follows rules.
Mining's Confidential AI Moment
Confidential computing firms are pitching a solution to a longstanding data-security obstacle for large miners such as Barrick Gold: how to run advanced AI on proprietary geological models, reserve data and operational telemetry without risking leakage or policy drift. OPAQUE, a Confidential AI infrastructure provider, is positioning its platform as the means to close a growing “trust chasm” where CISOs, compliance and legal teams stall pilots because they cannot independently verify that sensitive data and model weights remain private during computation.
OPAQUE’s value proposition centres on verifiable runtime proofs that data privacy, model integrity and policy enforcement are upheld before, during and after AI workloads. For an operator like Barrick, that capability would allow internal teams and third‑party partners to execute AI agents against exploration datasets and production models while producing auditable evidence that proprietary signals never leave protected enclaves and that model behaviour adheres exactly to contractual or regulatory rules. The firm cites rapid vendor endorsement from chip makers and hyperscalers — a critical factor for miners that run complex inference pipelines on edge devices and cloud infrastructure across multiple jurisdictions.
Adoption of confidential AI can also change how mining groups handle joint ventures, third‑party vendors and regulatory reporting. With cryptographically provable enforcement of access and policy, companies can accelerate machine‑learning deployments for orebody characterization, predictive maintenance and energy optimisation without exposing commercially sensitive model internals or upstream data. OPAQUE’s focus on certification, partnerships with chip vendors and hyperscalers and sector‑specific compliance tooling aims to remove operational friction that currently slows enterprise scaling of generative and agentic AI in capital‑intensive industries.
OPAQUE funding and go‑to‑market
OPAQUE announces a $24 million Series B led by Walden Catalyst, taking total funding to $55.5 million and valuing the company at about $300 million post‑money. The company says it will use the capital to expand engineering, pursue certifications and deepen partnerships with chip vendors and cloud providers to accelerate deployments across regulated sectors.
Capital markets advisory note
Separately, Cambridge Wilkinson reports the close of a syndicated SPV into a Series B for an AI hardware and technology company, underscoring growing specialist financing capacity for deep‑tech vendors that mining companies may rely on. The firm says it is expanding its tech practice to offer equity, venture debt and structured capital to scale‑stage technology providers.
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