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Build. Ship. Collaborate. Make your AI development fast, secure, and collaborative from one platform.
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Build. Ship. Collaborate. Make your AI development fast, secure, and collaborative from one platform.
Orq.ai is an enterprise-grade Generative AI Engineering platform that provides a single control tower for visibility across AI development teams. Designed to eliminate fragile glue code, the platform accelerates time-to-market by up to 5x by unifying agent orchestration, model routing, evaluations, and observability. Key capabilities include an Agent Runtime for deploying autonomous multi-agent systems with built-in memory and tools, and a standalone AI Gateway that securely routes requests across 300+ models with failovers, caching, and financial operations controls. Orq.ai also offers a fully managed Knowledge Base for RAG pipelines, handling everything from data ingestion and chunking to embeddings and reranking. Built for scale and compliance, the platform includes a robust Evaluation suite for LLM-as-a-judge and human-in-the-loop reviews, alongside comprehensive Monitoring features utilizing OpenTelemetry. Emphasizing enterprise readiness, Orq.ai ensures strict data privacy with EU data residency options, automated sensitive data masking, SSO, and flexible deployment models including cloud, hybrid, and on-premises environments.
Build. Ship. Collaborate. Make your AI development fast, secure, and collaborative from one platform.
Quick visual proof for Orq.ai. Helps non-technical users understand the interface faster.
Orq.
Explore all tools that specialize in deploy multi-agent systems. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in model routing & management. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in data ingestion and chunking. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in llm-as-a-judge & human-in-the-loop. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in opentelemetry integration. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in sensitive data masking. This domain focus ensures Orq.ai delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
Seamlessly routes AI API calls across 300+ models. Incorporates failovers, semantic caching, budget controls, and identity tracking.
A fully managed Knowledge Base pipeline that performs file processing, chunking, embedding, retrieval, reranking, and RAG evaluation.
Deploy autonomous agents featuring real-time orchestration, multi-agent communication, built-in tools, memory stores, and guardrails.
Supports agent simulation, LLM-as-a-judge, Python evaluations, human evals, RAG evals, and A/B testing utilizing Golden Sets.
Development teams waste weeks building custom infrastructure and glue code to orchestrate LLMs for specific client or internal needs.
Connect preferred LLMs via the AI Gateway.
Ingest specialized data into the managed Knowledge Base.
Configure Agents using the Runtime Engine with memory and tools.
Deploy the solution safely using built-in guardrails and OpenTelemetry monitoring.
Non-technical domain experts are isolated from the prompt engineering process, creating bottlenecks for developers.
Establish a shared Orq.ai workspace with specific user roles.
Domain experts author, tweak, and simulate prompts via the UI.
Run A/B evaluations and human-in-the-loop reviews to validate prompt performance.
Push optimized prompts to production via a unified release pipeline.
Book an enterprise demo to provision a workspace
Configure SSO and role-based access controls
Integrate the unified API or connect Bring-Your-Own-Models (BYOM)
Upload domain datasets into the managed Knowledge Base for RAG
Define agents, system prompts, and memory store parameters
Enable OpenTelemetry for tracing and monitoring
All Set
Ready to go
Verified feedback from other users.
“Clients consistently report cutting custom AI build times from 6 weeks to 2 weeks, achieving up to 5x faster time-to-market, and enabling non-technical teams to scale AI operations.”
0Choose the right tool for your workflow
Orq.ai focuses heavily on an integrated Agent Runtime and full RAG-as-a-Service capabilities, while Portkey leans strongly into Gateway and Observability.
Orq.ai is framework-agnostic and provides enterprise data residency and on-premise capabilities natively.
While LiteLLM handles routing well, Orq.ai offers a much broader feature set including Managed RAG, multi-agent orchestration, and collaborative workspaces for non-technical teams.