Orq.ai is a comprehensive generative AI collaboration platform designed to empower teams to build, ship, and scale AI applications with speed and control. It provides a secure, unified environment for the entire AI agent lifecycle, including orchestration, evaluation, observability, and governance. With Orq.ai, organizations can develop, test, deploy, and monitor GenAI applications seamlessly, ensuring quality and compliance at every stage.
Key features include an AI Gateway that offers a single API to operate every large language model (LLM), allowing teams to switch models without changing code. The platform supports intelligent agent management, enabling users to launch, manage, or integrate third-party agents with memory, tools, and real-time execution. Its robust evaluation capabilities allow teams to score outputs using LLM-as-judge, code-based, and human review methods, ensuring high-quality results. Observability features capture every prompt, tool call, and retrieval step in real time, providing full traceability and insight into AI system behavior.
Orq.ai is particularly beneficial for enterprises that need to manage AI drift, hallucination, and regression. The platform helps teams set quality gates, observe production, evaluate against real metrics, and continuously improve. Use cases include building AI-powered customer support agents, content generation systems, and data analysis tools. The platform also offers a Knowledge Base feature that connects your data to LLMs via RAG (Retrieval-Augmented Generation), making it easy to ground AI responses in proprietary information.
Technical details: Orq.ai is a sovereign AI platform, proudly European and recognized as a Gartner Emerging Leader in 2025. It supports standalone deployment of the AI Gateway, monitoring, and evaluation modules. The platform integrates with popular LLMs and provides enterprise-grade security and governance, including compliance with the EU AI Act. Pricing is available upon request, and the platform offers a free trial to get started.
AI engineers, product teams, enterprise IT, compliance officers, data scientists, platform teams, DevOps engineers