Most companies we talk to can’t answer three questions about their AI: Who can call which model? What data reached the providers? What did that one feature cost?

The reason is simple. AI arrived through API keys, and a key tells you who holds it, not what they’re allowed to do. As teams add agents that call other models and tools, that gap gets wider.

We built Actualyze to close it. It sits between your applications and your models, and every request takes the same governed path:

Access: per-team, per-model rules with SSO and RBAC
Budgets: hard caps and alerts. Over-budget calls are refused before any model is contacted.
Security: prompts, responses and tool calls are scanned, and PII and credentials are masked before they reach a provider
Routing: Virtual Models choose the best model for cost or quality and fail over across providers
Attribution: every call is logged and tied to the team that made it

Getting started takes about five minutes. You change three settings (base URL, API key and model name), and your existing code keeps working.

You can start a 30-day free trial today with no credit card.

We’d love your feedback, especially from platform engineers and security teams. What’s the hardest part of governing AI at your company right now? The team and I are here all day to answer questions.