Agent Runtime

Orchestrate intelligent AI agents

Launch and manage autonomous agents with memory, tools, and real-time execution without managing infrastructure. Build multi-step agents with human-in-the-loop control and full observability built in.

Agent Runtime

Orchestrate intelligent AI agents

Launch and manage autonomous agents with memory, tools, and real-time execution without managing infrastructure. Build multi-step agents with human-in-the-loop control and full observability built in.

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Configure

Manage

Deploy

Agent runtime

Everything you need to scale LLM agents

Agent runtime

Everything you need to scale LLM agents

Agent Orchestration

Build agents your way without managing the plumbing

Configure every behavior, workflow, and decision rule while Orq.ai handles the execution layer. You focus on the logic; we take care of the orchestration.

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Agent Studio

Multi-agent

Runtime

high availability

Fault tolerance

Auto-scaling

Production-Grade Scalability

Scale from prototype to production without rewrites

Run thousands of concurrent agents with enterprise-grade reliability. The runtime auto-scales, self-manages, and keeps performance predictable under load.

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Tool & API integration

Connect the tools your agents need to get work done

Bring your APIs, MCP tools, or use built-ins like file, search, or evaluation tools. Everything is managed in one transparent, auditable tool layer.

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Tool library

HTTP Tools

MCP

Context engineering

Knowledge Base

Memory Store

Memory & Context

Give agents the context they need — instantly

Equip agents with persistent memory and structured knowledge bases for accurate, context-aware decisions across long-running tasks.

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Safety, Quality & Observability

Keep agents safe, consistent, and fully observable

Track every action, token, and tool call. Apply guardrails, run evaluations, and monitor quality and compliance in real time across all agents and workloads.

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Tracing

Real-time insights

Guardrails

Tool Approvals

Feedback

Online evaluation

Human-in-the-Loop

Step in when it matters

Approve, correct, or guide agent actions with a clear control panel. Build workflows that keep humans in the loop for safety, accuracy, or sensitive decisions.

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SDKs

API-first design

Industry standards

Developer-First APIs

Built for developers, not lock-ins

Use clean APIs and SDKs to spin up agents, tools, workflows, and monitoring. Integrate the runtime into your existing systems with zero friction.

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Seamless integration

Plug-and-play

Framework Compatibility

Fits the way your team already builds

Works with your current stack whether you're using LangChain, LlamaIndex, custom frameworks, or internal tooling. No redesign required.

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Platform Solutions

Discover more solutions to build reliable AI products

Agent Runtime

Run and coordinate autonomous agents with built-in tools and orchestration

Evaluation

Out-of-the-box tooling to measure and optimize AI products

AI Gateway

Manage and coordinate LLM interactions across 300+ models

Knowledge Base (RAG)

Optimize LLM output with custom RAG workflows

Monitoring & Observability

End-to-end insights into the performance and traces of agents

Integrates with your stack

Works with major providers and open-source models; popular vector stores & frameworks.

Why teams chose us

Why teams chose us

Assurance

Compliance & data protection

Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.

Flexibility

Multiple deployment options

Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.

Enterprise ready

Access controls & data privacy

Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.

Transparency

Flexible data residency

Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.

FAQ

Frequently asked questions

What is an AI Gateway, and how does it work?

An AI Gateway is a centralized platform that manages, routes, and optimizes API calls to multiple large language models (LLMs). It acts as a control hub for software teams, enabling seamless integration with different AI providers while ensuring security, scalability, and cost efficiency.

With an AI Gateway like Orq.ai, teams can:

  • Route requests to the best-performing LLM based on cost, latency, or accuracy.

  • Monitor and control AI-generated outputs in real time.

  • Optimize performance by dynamically selecting the right model for each task.

By using an AI Gateway, businesses can reduce vendor lock-in, improve reliability, and scale AI applications efficiently.


Why do software teams need an AI Gateway?

Software teams building AI-powered applications often struggle with managing multiple LLM providers, API limits, and unpredictable costs. An AI Gateway helps solve these challenges by:

  • Providing failover mechanisms to ensure uptime even if an LLM provider experiences downtime.

  • Offering multi-model orchestration to distribute workloads across different AI models based on pricing, response time, or accuracy.

  • Enhancing security by enforcing rate limiting, authentication, and compliance standards.

  • Improving cost efficiency by selecting the most affordable model for each request dynamically.

With an AI Gateway, teams can focus on building and optimizing AI applications rather than dealing with infrastructure complexities.

How does an AI Gateway help optimize LLM performance?

An AI Gateway optimizes LLM performance through:

  • Dynamic Model Routing: Automatically directing queries to the most suitable model based on performance metrics.

  • Real-time Output Control: Applying content filtering, moderation, and structured guardrails to refine AI responses.

  • Latency and Cost Management: Balancing between response speed and pricing to ensure cost-effective operations.

  • Observability and Analytics: Providing insights into API usage, response times, and model accuracy to enhance decision-making.

By implementing these features, an AI Gateway maximizes efficiency, ensuring applications run smoothly at scale.

Can an AI Gateway reduce LLM costs?

Yes, an AI Gateway can significantly reduce LLM costs by:

  • Routing queries to the most cost-effective model instead of always using the most expensive provider.

  • Implementing rate limiting and caching to minimize redundant API calls.

  • Using adaptive throttling to prevent unnecessary requests during peak traffic.

  • Providing usage analytics to help teams optimize model selection and reduce overuse.

By leveraging an AI Gateway, businesses can control AI expenditures while maintaining high-quality performance.

How does Orq.ai’s AI Gateway compare to direct LLM API access?

Orq.ai’s AI Gateway offers multi-model support, unlike direct LLM API access, which locks teams into a single provider. It includes intelligent routing and failover, ensuring reliability even if a model goes down.

With real-time control features like filtering, throttling, and observability, Orq.ai provides greater flexibility. It also optimizes costs by dynamically selecting the most affordable model, unlike static provider pricing. Additionally, enterprise-grade security ensures compliance beyond standard API protections.

By using Orq.ai’s AI Gateway, teams gain better performance, cost efficiency, and control over their AI applications.

What is an AI Gateway, and how does it work?

An AI Gateway is a centralized platform that manages, routes, and optimizes API calls to multiple large language models (LLMs). It acts as a control hub for software teams, enabling seamless integration with different AI providers while ensuring security, scalability, and cost efficiency.

With an AI Gateway like Orq.ai, teams can:

  • Route requests to the best-performing LLM based on cost, latency, or accuracy.

  • Monitor and control AI-generated outputs in real time.

  • Optimize performance by dynamically selecting the right model for each task.

By using an AI Gateway, businesses can reduce vendor lock-in, improve reliability, and scale AI applications efficiently.


Why do software teams need an AI Gateway?

Software teams building AI-powered applications often struggle with managing multiple LLM providers, API limits, and unpredictable costs. An AI Gateway helps solve these challenges by:

  • Providing failover mechanisms to ensure uptime even if an LLM provider experiences downtime.

  • Offering multi-model orchestration to distribute workloads across different AI models based on pricing, response time, or accuracy.

  • Enhancing security by enforcing rate limiting, authentication, and compliance standards.

  • Improving cost efficiency by selecting the most affordable model for each request dynamically.

With an AI Gateway, teams can focus on building and optimizing AI applications rather than dealing with infrastructure complexities.

How does an AI Gateway help optimize LLM performance?

An AI Gateway optimizes LLM performance through:

  • Dynamic Model Routing: Automatically directing queries to the most suitable model based on performance metrics.

  • Real-time Output Control: Applying content filtering, moderation, and structured guardrails to refine AI responses.

  • Latency and Cost Management: Balancing between response speed and pricing to ensure cost-effective operations.

  • Observability and Analytics: Providing insights into API usage, response times, and model accuracy to enhance decision-making.

By implementing these features, an AI Gateway maximizes efficiency, ensuring applications run smoothly at scale.

Can an AI Gateway reduce LLM costs?

Yes, an AI Gateway can significantly reduce LLM costs by:

  • Routing queries to the most cost-effective model instead of always using the most expensive provider.

  • Implementing rate limiting and caching to minimize redundant API calls.

  • Using adaptive throttling to prevent unnecessary requests during peak traffic.

  • Providing usage analytics to help teams optimize model selection and reduce overuse.

By leveraging an AI Gateway, businesses can control AI expenditures while maintaining high-quality performance.

How does Orq.ai’s AI Gateway compare to direct LLM API access?

Orq.ai’s AI Gateway offers multi-model support, unlike direct LLM API access, which locks teams into a single provider. It includes intelligent routing and failover, ensuring reliability even if a model goes down.

With real-time control features like filtering, throttling, and observability, Orq.ai provides greater flexibility. It also optimizes costs by dynamically selecting the most affordable model, unlike static provider pricing. Additionally, enterprise-grade security ensures compliance beyond standard API protections.

By using Orq.ai’s AI Gateway, teams gain better performance, cost efficiency, and control over their AI applications.

Enterprise control tower for security, visibility, and team collaboration.

Book enterprise demo

Get started

Enterprise control tower for security, visibility, and team collaboration.

Book enterprise demo

Get started