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.

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.

Daytona reached $1M forward revenue run rate in under three months. Six weeks later, it doubled.

The speed reflects enterprise urgency around a fundamental infrastructure gap: current cloud platforms were built for production workloads—stateless, immutable systems optimized to run the same code the same way every time. AI agents need the opposite: persistent, stateful environments where they can experiment, branch execution paths, and recover from failures at massive scale.

The Infrastructure Mismatch

Enterprise adoption of AI agents is hitting a hard infrastructure bottleneck. While agents can reason through complex workflows and make decisions, they break when deployment infrastructure treats every workload like a web server.

EnFi raised $15 million in Series A funding to deploy AI agents that function as virtual credit professionals, addressing a fundamental scaling crisis where commercial lending demand is growing faster than the human talent pool can accommodate.

The Boston-based startup represents a shift from AI-assisted tools to autonomous agent workforces, with customers deploying targeted agents across deal screening, documentation, and portfolio monitoring within 60 to 90 days. This timeline reflects a new deployment velocity for financial services AI, where traditional implementations often require 12-18 months.

79% of enterprises now deploy AI agents, but 97% lack proper security controls—a gap that’s created a new category of infrastructure risk as organizations race to automate everything from database queries to payment processing.

Virtue AI just launched AgentSuite, the industry’s first multi-layer security and compliance platform purpose-built for enterprise AI agents. While traditional security tools were designed for predictable application workflows, AgentSuite addresses the dynamic, multi-tool nature of autonomous agents that can trigger complex actions across enterprise systems in real time.

Ricursive Intelligence has raised $300 million in Series A funding at a $4 billion valuation, just two months after the company’s formal launch. The round was led by Lightspeed Venture Partners, with participation from DST Global, Nvidia’s NVentures, Felicis Ventures, Sequoia Capital, and others.

The funding milestone reflects investor confidence in what the company calls “recursive AI-hardware co-evolution”—AI systems that design and continuously improve the chips that power them. For an industry where chip design cycles have become a critical bottleneck to AI advancement, Ricursive’s platform promises to collapse months-long design processes into hours while achieving superhuman layout optimization.

Waabi secured $1 billion in total funding this week—including a $750 million Series C round co-led by Khosla Ventures and G2 Venture Partners, plus milestone-based investment tied to its robotaxi partnership with Uber—marking one of the largest funding rounds in Canadian tech history.

The Toronto-based company represents a critical infrastructure shift: while most AI agent development has focused on digital environments, Waabi’s Physical AI platform bridges autonomous agents into real-world deployment at enterprise scale. This funding validates Physical AI as the next major infrastructure category, where agents must navigate safety-critical environments rather than just process digital workflows.