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.

Gather AI has secured a $40 million Series B led by Smith Point Capital, the firm of former Salesforce co-CEO Keith Block, bringing its total funding to $74 million. The round validates the Carnegie Mellon-founded startup’s Physical AI platform, which uses classical Bayesian techniques—not LLMs—to power autonomous systems that actively map and monitor warehouse operations.

This investment marks a critical inflection point for AI infrastructure, shifting focus from purely digital, text-generating agents to systems that must operate reliably in the physical world. As enterprises seek to scale automation beyond the data center, a new class of Physical AI infrastructure is emerging to solve the critical bottlenecks of real-world deployment across logistics, manufacturing, and field services.

Decagon tripled its valuation to $4.5 billion in six months, raising $250 million in Series D funding led by Index Ventures and Coatue Management. The customer service AI agent platform now processes over 80 million conversations across 100+ enterprise customers including Duolingo, Hertz, Deutsche Telekom, and ClassPass.

The funding milestone signals enterprise confidence in autonomous customer service infrastructure over traditional human-centric support models. While legacy platforms like Salesforce, Intercom, and Zendesk retrofit AI capabilities onto existing architectures, agent-native companies are capturing market share by rebuilding customer operations from the ground up.