Orq.ai

What is Orq.ai?

Orq.ai is a comprehensive LLMOps platform designed for product teams to efficiently develop and manage large language model applications at scale. It integrates over 130 AI models through a single API, facilitating seamless experimentation, prompt engineering, and deployment workflows. The platform offers robust features including real-time observability, advanced debugging, contextualized routing, and enterprise-grade security compliance. Orq.ai empowers cross-functional collaboration among engineers, product managers, and domain experts by providing an intuitive interface and low-code tools that accelerate time-to-market and ensure reliable AI application performance.

Key Features

• Generative AI Gateway

  Unified API access to 130+ AI models from leading providers, enabling flexible model selection and integration.

• Collaborative Prompt Engineering

  Decouple prompts from code with version control and iterative workflows, allowing technical and non-technical team members to collaborate.

• Experimentation & Playgrounds

  Run large-scale experiments and regression tests with customizable evaluators to optimize models and prompts before production deployment.

• Production-Ready Deployments

  Deploy AI applications with built-in guardrails, fallback models, version control, and granular business rules for personalized, reliable outputs.

• Observability & Monitoring

  Real-time logging, cost and latency tracking, and performance dashboards provide deep insights for continuous optimization.

• Enterprise-Grade Security & Compliance

  SOC2-certified, GDPR-compliant platform with strong data privacy controls, suitable for sensitive and regulated environments.

Use Cases

• AI Application Development : Build, test, and deploy scalable LLM-powered applications with streamlined workflows and integrated lifecycle management.
• Prompt Engineering Collaboration : Enable cross-functional teams, including non-engineers, to manage and iterate on AI prompts effectively.
• Model Experimentation and Optimization : Compare and evaluate multiple AI models and configurations to select the best performing solutions.
• Enterprise AI Deployments : Launch AI-powered features with robust security, compliance, and operational controls in production environments.
• AI Performance Monitoring : Continuously track AI system metrics to ensure quality, cost-efficiency, and responsiveness.

FAQs