Enterprise teams can build compelling AI demos, but 95% fail when moving to production—a bottleneck that Orq.ai targets with its €5 million seed round led by seed + speed Ventures and Galion.exe.

The Amsterdam-based platform addresses what co-founder Sohrab Hosseini calls the “industrialization gap”: the infrastructure needed to move AI agents from successful prototypes to reliable, compliant enterprise systems. While most teams can demonstrate AI capabilities, they consistently hit the same blockers when scaling—unclear agent behavior, fragmented tooling, missing observability, and manual compliance work.

Lyzr has raised $8 million in Series A funding to address enterprise AI agent fragmentation, where dozens of isolated copilots across departments create “fragmented intelligence” that limits organizational AI value. The round was led by Rocketship.vc with participation from Accenture Ventures, targeting the coordination bottleneck that prevents enterprises from scaling AI beyond departmental silos.

The funding validates Lyzr’s approach to enterprise AI infrastructure: rather than adding another specialized agent, their Agentic Operating System connects existing AI tools into coordinated workflows. This architecture shift becomes critical as enterprises deploy dozens of department-specific AI tools but struggle to realize organization-wide intelligence benefits.

Zenity secured $38 million in Series B funding led by Third Point Ventures and DTCP, bringing total capital raised to over $55 million as enterprises grapple with a fundamental infrastructure bottleneck: securing AI agents at scale.

The timing reflects a critical enterprise adoption paradox. While Forbes reports over 51% of companies actively use AI for process automation and Microsoft notes daily Copilot usage has nearly doubled quarter-over-quarter, only 11% of CIOs have fully implemented AI according to Salesforce research. The primary constraint isn’t technological capability—it’s security infrastructure.

The Linux Foundation announced its latest AI infrastructure project: Agentgateway, the first AI-native proxy designed specifically for governing communication between AI agents, tools, and large language models in enterprise environments.

The initiative addresses a critical gap as enterprise AI agent deployments scale—existing API gateways weren’t architected for the unique protocols and patterns that define modern agent-to-agent communication.

The Enterprise AI Communication Bottleneck

Current enterprise deployments struggle with a fundamental infrastructure problem: traditional API gateways predate the agent era and lack native support for emerging AI protocols like Agent2Agent (A2A) and Anthropic’s Model Context Protocol (MCP).

Noma Security has secured $100 million in Series B funding less than nine months after its founding, marking one of the fastest enterprise AI security funding rounds as organizations urgently address the security implications of autonomous AI agent deployment.

The Tel Aviv-based company’s extraordinary growth trajectory—1,300% ARR increase within its first year—reflects rising enterprise demand for AI agent security governance as CISOs grapple with managing thousands of AI models and millions of prompts flowing through corporate environments daily.