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Chronicles

The story behind the story

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Opaque, which offers enterprise tools for data privacy in AI workflows, raised a $24M Series B at a $300M valuation, bringing its total raised to $55.5M

Confidential artificial intelligence platform provider Opaque Systems Inc. today announced that it has raised $24 million in new funding …

SiliconANGLE Duncan Riley

Context & Ripple Effects

Opaque’s $24 million Series B follows its 2022 $22 million Series A for trusted-execution-environment data tools, taking its disclosed funding to $55.5 million. The financing marks continued investor support for privacy-oriented infrastructure around enterprise AI workflows.

The company’s progression sits alongside a broader security layer for AI systems: Protect AI advanced from a $35 million Series A to a $60 million round at a $400 million valuation. Opaque’s raise is a more specific bet on protecting data used within those workflows.

First-order effects

  • Opaque gains $24 million to develop and sell its confidential-AI platform, while the $300 million valuation establishes a new benchmark for the company’s investors and employees.
  • Enterprise buyers evaluating AI deployments gain a better-capitalized vendor focused on keeping workflow data private.

Second-order effects

  • Other AI-security and data-governance vendors face a stronger funded competitor for enterprise budgets tied to secure model and data use.
  • The round reinforces demand for products that make sensitive enterprise data usable in AI workflows, rather than forcing companies to treat privacy and AI adoption as separate projects.

Third-order effects

  • If follow-on funding continues to favor privacy and security tooling, the enterprise AI stack may increasingly require dedicated controls around data access and execution, not just model-building platforms.
  • Capital is concentrating around distinct AI infrastructure layers—models, security and confidential data handling—though it remains unclear which layers will become standalone categories versus features bundled by larger platforms.

The trend: Enterprise AI funding is expanding from model development into the privacy, security and data-control infrastructure needed to deploy AI on sensitive business information.