A virtualization and management layer for AI agents (a 'VMware for agents')
Rebuild the entire virtualization and management stack — security profiles, performance management, policies, migration — but designed so the primary 'user' of the infrastructure is an AI agent rather than a human. Every fundamental element of the VM abstraction (security, performance, abstraction, migration — 'vMotion for agents') gets a new embodiment, while humans set the policies, constitutions and guard rails and view dashboards.
online B2B Deep Tech / Infrastructure
From a16z — Former Intel CEO: Why This is the Best Time to Build Hardware
Problem: AI infrastructure today is designed for humans; agent swarms need someone to manage the agents, create security profiles around them, manage their performance, and enforce guard rails or constitutions — none of which the current virtualization stack provides.
For: Teams running agent swarms that need managed, secure, performant infrastructure; the infrastructure is built to be consumed by agents themselves, with humans setting policies and oversight.
Examples
- VMware — the analogy the idea is built on: it managed every aspect of the computing hierarchy (workload, network, storage) for humans, and the same management surfaces need recreating for agents.
Other takes on AI security infrastructure
- Agentic consent governance layer for autonomous AI systems
- Enterprise agentic last-mile identity and access control layer
- Identity-based security infrastructure for multi-agent AI systems
- AI-agent security and control infrastructure for enterprises
- A guardrail tool that enforces strict test-driven development and other engineering rules for AI coding agents
- AI-powered scam-interception and threat-intelligence service