Orq.ai
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What is Orq.ai?
Orq.ai is a generative AI collaboration platform for teams that want to build, ship, and optimize LLM applications in one place. It combines AI Gateway, observability, evaluation, governance, and shared resources so teams do not need to stitch together multiple point solutions.
The platform is designed around the full agent lifecycle: build, observe, evaluate, and improve. Its homepage emphasizes configuring intelligent agents, tracing every prompt and tool call, measuring quality with evaluators, and feeding production data back into datasets and agents.
Orq.ai also positions itself as a unified endpoint for routing requests across 400+ models from 28+ providers, with fallbacks, retries, and cost visibility built in. The docs highlight quickstarts for routing your first request, logging traces from frameworks like LangGraph and OpenAI Agents, and building a native agent with tools and memory.
It is aimed at software teams, product teams, and non-developers working on GenAI, especially organizations that want better control over deployment, monitoring, compliance, and collaboration. The site also stresses enterprise readiness with cloud, hybrid, or on-prem deployment, EU data residency, and access control.
Orq.ai pricing
Pricing model: Freemium
Orq.ai advertises a Free plan and an Enterprise plan on its pricing page. The site also mentions a 7-day free trial with no strings attached, while billing and usage docs describe seat management, usage tracking, and plan-based rate limits. The docs show Developer, Growth, and Enterprise subscription tiers for API usage, with Developer limited to 50 requests per day, Growth to 100 requests per minute, and Enterprise on custom limits.
Orq.ai pros
- Unified platform for build, observe, evaluate, improve
- One API for routing across many models
- Fallbacks and retries built in
- Full trace capture for prompts and tool calls
- Latency and token-spend monitoring
- Offline and online evaluation support
- LLM-as-judge, code, and human review evaluators
- Native agent creation with tools and memory
- Supports third-party agents
- Works with LangGraph, OpenAI Agents, CrewAI, Vercel AI
- OpenTelemetry-based tracing integration
- Shared library for prompts, skills, MCPs, tools, and knowledge
- Versioned reusable assets across teams
- Identity-based cost attribution and quotas
- Feedback API for ratings and corrections
- Cloud, hybrid, and on-prem deployment options
- EU data residency and masking controls
- Enterprise governance and compliance features
Orq.ai cons
- Pricing details are not fully shown on the homepage
- Account required to use AI Studio
- Best value depends on adopting its platform workflow
- Some features are gated by plan level
- Enterprise controls are not available on all plans
- Operational setup may be complex for smaller teams
- Broad platform may be more than a simple prompt tool needs
- Uses a vendor-managed layer instead of direct model-only access
Frequently asked questions about Orq.ai
What is Orq.ai used for?
Orq.ai is used to build, ship, monitor, and improve LLM applications and AI agents in one platform. It combines routing, observability, evaluations, governance, and reusable shared assets so teams can move from prototype to production with fewer separate tools.
Does Orq.ai support model routing?
Yes. The site presents AI Gateway and AI Router as core parts of the platform, with routing across more than 400 models from 28+ providers, plus built-in fallbacks, retries, and cost visibility.
Can Orq.ai observe production traces?
Yes. Orq.ai supports full traces across multi-step agents and tool calls, and the docs say it can connect existing frameworks through OpenTelemetry to start logging traces.
Does Orq.ai include evaluations?
Yes. The platform includes offline and online evals, and it says outputs can be scored with evaluators across LLM-as-judge, code, and human review. It also compares versions side by side on the metrics that matter.
Can teams build agents directly in Orq.ai?
Yes. The docs say you can build and deploy a native Orq.ai agent with tools, memory, and full AI Studio management. The homepage also says you can configure intelligent agents and plug in third-party agents.
Which frameworks integrate with Orq.ai?
The docs specifically mention LangGraph, Vercel AI, Pydantic AI, OpenAI Agents, and Agno for trace logging, and the homepage adds CrewAI and other OpenTelemetry-based stacks.
Does Orq.ai support enterprise deployment needs?
Yes. The site says Orq.ai supports cloud, hybrid, or on-prem deployment, with private connections, EU or regional data residency, sensitive-field masking, and standard compliance paperwork for enterprise accounts.
How does Orq.ai handle governance?
Orq.ai includes AI governance features that let you see agents, tools, and models running across the organization, while monitoring cost, compliance, and risk in one place.
Is there a free trial?
Yes. The contact page advertises a 7-day free trial with no strings attached, and the pricing page says the product includes a Free plan as well as Enterprise options.
What are the usage limits?
The billing docs say Orq.ai applies per-account rate limits, with Developer at 50 requests per day, Growth at 100 requests per minute, and Enterprise on custom limits. The same docs also explain that billing dashboards track LLM usage, retrievals, cache activity, and additional events when capacity is exceeded.