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.
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.
Configure
Manage
Deploy
Agent runtime
Everything you need to scale LLM agents
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Platform Solutions
Discover more solutions to build reliable AI products
Platform Solutions
Discover more solutions to build reliable AI products
Platform Solutions
Discover more solutions to build reliable AI products
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Why teams chose us
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
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.
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.
Enterprise control tower for security, visibility, and team collaboration.