WhiteMatter, which quietly built its platform under the name QuilrAI, has raised $20 million in Series A funding to secure and operationalize every agent, model, and AI interaction across the enterprise from pre-production governance and validation to securing every action at runtime.

Blumberg Capital led the round, with participation from existing investors Crew Capital and Sprout & Oak.

WhiteMatter, formerly QuilrAI, is the first agent-native company built to secure and operationalize the agentic enterprise across the entire AI agent lifecycle. Foundation models are non-deterministic, so protecting agents only at runtime leaves every decision to the last millisecond and every alert to the security team. WhiteMatter treats AI security as a deployment problem first: every agent is assessed, governed against policy, and deployed from an approved blueprint before reaching production; while every action is governed before execution and every outcome is measured and validated.

Powered by its Guardian agent architecture, WhiteMatter brings continuous governance and control to the agents, models, tools, and integrations powering the enterprise. More than 2.25 million WhiteMatter Guardian agents run in customer environments today, governing more than 116 billion AI interactions. Its decision architecture delivers policy decisions in 2.24 milliseconds, processes up to 7,800 actions per minute, and has demonstrated zero double executions in one million tests.