We build runtime safety infrastructure for autonomous AI.
AI is moving from chat into action. Agents now call tools, access data, modify systems, coordinate with other agents, and operate inside real workflows.
LatentOps exists to make those actions controllable before they create side effects. We study how agents fail, then turn that research into runtime controls, approvals, telemetry, and audit evidence.
The safety boundary is shifting from text to action.
01
Autonomous systems should be controlled at the moment they act.
02
Every high-impact action should be reviewable, governable, and auditable.
03
Runtime safety should be infrastructure, not a prompt convention.
Research, product, and control infrastructure for deployed agents.
We are building toward a world where autonomous AI systems can be useful without becoming ungovernable.