OPAQUE Systems raised $24 million in Series B funding at a $300 million valuation to advance its Confidential AI platform, addressing what CEO Aaron Fulkerson calls the “trust chasm” blocking enterprise AI adoption. The UC Berkeley RISELab spinout has attracted customers including ServiceNow and Anthropic by providing verifiable privacy guarantees for AI workloads running on sensitive data.

The round reflects growing recognition that traditional security approaches fall short when enterprises attempt to scale AI beyond pilots. According to Gartner, Confidential AI techniques are becoming essential for securing GenAI workflows, while companies like NVIDIA, AMD, Intel, and all major hyperscalers have endorsed the category within the past year.

Former GitHub CEO Thomas Dohmke has secured a record-breaking $60 million seed round for Entire, the largest seed investment ever for a developer tools startup. The round, led by Felicis Ventures at a $300 million valuation, directly addresses what Dohmke calls the “agent boom” crisis—where massive volumes of AI-generated code overwhelm traditional development workflows.

This infrastructure play comes as enterprises grapple with a fundamental mismatch between legacy development processes and AI agent capabilities. While coding agents like GitHub Copilot have accelerated code generation, the industry lacks essential infrastructure to manage, review, and coordinate the output from multiple AI systems.

Financial institutions spend over $60 billion annually on compliance operations in North America alone, yet 95% of alerts generated by legacy anti-money laundering systems are false positives. Bretton AI’s $75 million Series B, led by Sapphire Ventures, represents a decisive shift toward autonomous agent infrastructure for the financial crime operations bottleneck.

The company, formerly known as Greenlite AI, rebranded to Bretton AI alongside the funding announcement—an homage to the Bretton Woods agreement that established the modern financial system. The parallel is deliberate: CEO Will Lawrence positions AI agents as a similar inflection point for how regulated institutions operate at scale.