Tool overview
Orq.ai is listed under AI Infrastructure & MLOps AI tools.
What is Orq.ai?
Orq.ai provides an agent runtime, AI gateway, prompt and deployment management, evaluations, observability, knowledge bases, guardrails, and governance. Teams can use hosted plans or deploy enterprise editions in private cloud, VPC, or on-premises environments.
Best for
Teams operating production AI agents across multiple model providers
Who is it for?
Decision note
Accepted with a 94/100 score based on strong AI relevance, active product availability, comprehensive official documentation, clear pricing, and production-focused capabilities.
Key features
Agent runtime with tools and memory
Gateway across hundreds of models
Online and offline evaluation workflows
OpenTelemetry tracing, guardrails, and governance
Use cases
Build and deploy production agents
Route requests across model providers
Test prompts and agent versions
Monitor quality, latency, failures, and cost
Pros
- Covers the agent lifecycle in one platform
- Provides a continuing free developer plan
- Supports cloud, VPC, private-cloud, and on-premises deployment
Limitations
Orq.ai centralizes agent engineering, but teams still need validated evaluations, representative datasets, secure model credentials, application testing, privacy controls, and qualified human oversight for high-impact workflows.
Pricing details
Billing options
Pricing note
Developer is free with defined limits. Growth starts at €35 per seat monthly and adds metered spans, processed data, memory, and agent-run charges. The official contact page also advertises a seven-day free trial. Enterprise pricing is custom.
Supported languages
- English
Integrations
LangGraph
OpenAI Agents
CrewAI
Vercel AI SDK
OpenTelemetry
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