We built Carlo for high-frequency trading and real-time customer support use cases. Our global edge network and optimized Rust-based inspection engine add less than 20ms of overhead to a typical request. For streaming responses, we perform “optimistic enforcement” to ensure the first token time remains nearly instantaneous while still catching violations as they generate.

You have granular control over the remediation strategy. You can choose to Block (stop the response entirely), Redact (selectively mask sensitive PII or toxic phrases), Steer (inject a system prompt to guide the model back to safety), or Shadow (log the violation for offline review without blocking).

Carlo operates as a high-performance transparent proxy or “sidecar” within your infrastructure. It intercepts API calls to any AI system—whether it’s a 3rd-party LLM (OpenAI, Anthropic), a custom in-house predictive model, or a specialized healthcare algorithm. We are not limited to just LLMs; Carlo enforces policies across your entire AI stack. This architecture allows for sub-20ms compliance checks without requiring you to rewrite your application logic or change your model architecture.

We built Carlo for high-frequency trading and real-time customer support use cases. Our global edge network and optimized Rust-based inspection engine add less than 20ms of overhead to a typical request. For streaming responses, we perform “optimistic enforcement” to ensure the first token time remains nearly instantaneous while still catching violations as they generate.