
Orq AI is an end-to-end platform for building, deploying, and operating generative AI applications in a controlled, production-grade environment. It provides a centralized workspace where teams can securely experiment with models, design AI workflows, and move from prototype to production while maintaining governance and compliance. The primary purpose of Orq AI is to help organizations scale AI initiatives without losing visibility into performance, cost, or risk.
The platform typically supports orchestration across multiple LLM providers, enabling teams to compare, switch, or ensemble models without rewriting application logic. It offers tools for prompt and workflow versioning, A/B testing, and evaluation so teams can iteratively improve quality based on measurable metrics. Integrated monitoring and logging provide insight into latency, accuracy, usage, and failures, while policy controls and access management help ensure responsible use of AI in line with organizational and regulatory requirements. Orq AI also centralizes configuration and secrets management, improving security and reducing operational overhead.
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