Olyx: Full Control Over Every Model Call

Overview

Olyx is a comprehensive solution designed to provide full control over AI model calls, ensuring data governance, intelligent routing, and complete auditability. It works seamlessly with existing AI clients without requiring any application rewrites. By simply pointing your client at the Olyx endpoint, every request undergoes policy enforcement, intelligent routing, and generates a full trace from the first call.

Benefits

Olyx offers several key advantages for managing AI interactions. First, it provides universal compatibility with major providers like OpenAI, Anthropic, Google Gemini, AWS Bedrock, and Azure OpenAI. It also supports private models and VPC-only deployments. The platform uses a simple three-step process to give users full control. Users can install the CLI or use the HTTP API directly. They then set one base URL to point their existing AI client at the Olyx endpoint. No other code changes are needed. Every request is evaluated against user-defined policies and scrubbed where necessary. The system routes requests based on cost and intent complexity. For example, sensitive data like customer names routes to low-cost public models with high safety standards. Large-scale tasks like summarizing logs also use cost-effective models. Highly sensitive data like medical forms routes to customer-managed environments with maximum safety. Olyx enforces rules before every model call. It routes requests by cost, latency, or sensitivity with automatic failover capabilities. Every decision is recorded with full input and output context. Requests are blocked or redacted when policy requirements dictate. Users can maintain existing AI client code with just one base URL change. AI provider API keys remain in the user environment and are never sent to Olyx. Every request is logged with routing decisions, costs, and policy outcomes. The platform is ready for the EU AI Act by maintaining a tamper-proof ledger of every decision and routing choice.

Use Cases

Olyx is designed for organizations that need strict control over their AI model usage. It works well for companies using multiple AI providers who want a unified management layer. Developers can integrate it by changing a single base URL in their code. This makes it ideal for teams that do not want to rewrite their applications. The intelligent routing feature is useful for handling different types of data. For instance, it can route customer names to safe, low-cost models while keeping medical data in secure, private environments. The tracing capabilities help teams inspect routing decisions and security signals. This is valuable for debugging and auditing AI interactions. The platform supports agents and MCP Agents natively. This makes it suitable for complex workflows that involve multiple AI components. The ability to export records helps organizations meet regulatory requirements like the EU AI Act.

Pricing

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Additional Information

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